Guillermo Sapiro
James B. Duke Distinguished Professor of Electrical and Computer Engineering
Guillermo Sapiro received his B.Sc. (summa cum laude), M.Sc., and Ph.D. from the Department of Electrical Engineering at the Technion, Israel Institute of Technology, in 1989, 1991, and 1993 respectively. After post-doctoral research at MIT, Dr. Sapiro became Member of Technical Staff at the research facilities of HP Labs in Palo Alto, California. He was with the Department of Electrical and Computer Engineering at the University of Minnesota, where he held the position of Distinguished McKnight University Professor and Vincentine Hermes-Luh Chair in Electrical and Computer Engineering. Currently he is the Edmund T. Pratt, Jr. School Professor with Duke University.
G. Sapiro works on theory and applications in computer vision, computer graphics, medical imaging, image analysis, and machine learning. He has authored and co-authored over 300 papers in these areas and has written a book published by Cambridge University Press, January 2001.
G. Sapiro was awarded the Gutwirth Scholarship for Special Excellence in Graduate Studies in 1991, the Ollendorff Fellowship for Excellence in Vision and Image Understanding Work in 1992, the Rothschild Fellowship for Post-Doctoral Studies in 1993, the Office of Naval Research Young Investigator Award in 1998, the Presidential Early Career Awards for Scientist and Engineers (PECASE) in 1998, the National Science Foundation Career Award in 1999, and the National Security Science and Engineering Faculty Fellowship in 2010. He received the test of time award at ICCV 2011. He was elected to the American Academy of Arts and Sciences on 2018.
G. Sapiro is a Fellow of IEEE and SIAM.
G. Sapiro was the founding Editor-in-Chief of the SIAM Journal on Imaging Sciences.
Current Research Interests
Office Hours
Current Appointments & Affiliations
- James B. Duke Distinguished Professor of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2018
- Professor of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2012
- Professor of Computer Science, Computer Science, Trinity College of Arts & Sciences 2012
- Faculty Network Member of the Duke Institute for Brain Sciences, Duke Institute for Brain Sciences, University Institutes and Centers 2012
Contact Information
- Campus Box 90984, 140 Science Drive - 325 Gross Hall, Durham, NC 27708
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guillermo.sapiro@duke.edu
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Google Scholar
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Sapiro Lab
- Background
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Education, Training, & Certifications
- D.Sc., Israel Institute of Technology (Israel) 1993
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Previous Appointments & Affiliations
- Professor of Mathematics, Mathematics, Trinity College of Arts & Sciences 2016 - 2021
- Edmund T. Pratt, Jr. School Distinguished Professor of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2013 - 2018
- Professor of Biomedical Engineering, Biomedical Engineering, Pratt School of Engineering 2013 - 2016
- Recognition
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In the News
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NOV 21, 2022 Duke Interdisciplinary Studies -
FEB 14, 2022 Pratt School of Engineering -
NOV 12, 2021 Duke Health News -
NOV 29, 2020 -
JUL 16, 2019 -
JUN 13, 2019 Pratt School of Engineering -
JUN 1, 2018 -
APR 18, 2018 -
JUN 8, 2017 Pratt School of Engineering -
FEB 27, 2017 Pratt School of Engineering -
MAR 16, 2016 -
JAN 4, 2016 The Times of India -
OCT 15, 2015 Vox.com -
OCT 14, 2015 -
AUG 14, 2015 -
MAY 20, 2015 -
APR 27, 2015 -
APR 20, 2015 -
DEC 11, 2014 -
NOV 25, 2014
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Awards & Honors
- Member. National Academy of Engineering. 2022
- Member. American Academy of Arts & Sciences. 2018
- Stansell Family Distinguished Research Award. Pratt School of Engineering. 2017
- Distinguished Israel Pollack Lecturer. Technion (Haifa, Israel). March 2016
- Plenary Speaker. European Signal Processing Conference (EUSIPCO). September 2014
- Fellow. Institute of Electrical and Electronics Engineers (IEEE). 2014
- Member, Board on Mathematical Sciences and their Applications (BMSA). The National Academies. 2014
- Science Advisory Board. Institute for Computational and Experimental Research in Mathematics (ICERM), Brown University. 2014
- Fellow. Society for Industrial and Applied Mathematics. 2013
- Helmholtz Prize. IEEE Computer Society. 2011
- National Security Science and Engineering Faculty Fellow. US Department of Defense. 2010
- Expertise
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Global Scholarship
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Research
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Teaching
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- Research
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Selected Grants
- Caregiver Coaching to Improve Outcomes of Young Autistic Children in Africa awarded by National Institutes of Health 2022 - 2027
- Accurate, low-cost, trackerless neuronavigation for transcranial magnetic stimulation awarded by National Institutes of Health 2022 - 2027
- Stratifying the Heterogeneity of Autism Spectrum Disorder: Impact of Co-Occurring Anxiety and ADHD awarded by National Institutes of Health 2021 - 2026
- A computational approach for quantifying motor behaviors in spinocerebellar ataxias to improve early detection of motor signs and precisely estimate disease severity and disease change awarded by Massachusetts General Hospital 2021 - 2026
- Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET) awarded by Simons Foundation 2020 - 2025
- Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET) awarded by National Science Foundation 2020 - 2025
- CIF: Small: Foundations and Applications of Blind Subgroup Robustness awarded by National Science Foundation 2021 - 2024
- Learning and Explaining Information Dynamics from Overhead Imagery awarded by National Geospatial-Intelligence Agency 2019 - 2024
- Novel Approaches to Infant Screening for ASD in Pediatric Primary Care awarded by National Institutes of Health 2019 - 2024
- Scalable Computational Platform For Active Closed-Loop Behavioral Coding in Autism Spectrum Disorder awarded by National Institutes of Health 2019 - 2024
- Novel see and treat strategies for cervical cancer prevention in low-resource settings awarded by National Institutes of Health 2019 - 2024
- HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms awarded by National Science Foundation 2019 - 2023
- Uncovering Population-Level Cellular Relationships to Behavior via Mesoscale Networks awarded by National Institutes of Health 2019 - 2023
- CIF: AF: Small: Foundations of Multimodal Information Integration awarded by National Science Foundation 2017 - 2023
- Digital Behavioral Outcome Measures for Autism awarded by Simons Foundation Autism Research Initiative 2019 - 2023
- Learning Utility-Preserving Private, Fair, and Invariant Representations awarded by Office of Naval Research 2020 - 2023
- Fundamentals and Applications in Learned Information Representation awarded by Office of Naval Research 2020 - 2023
- Tailoring treatment targets for early autism intervention in Africa awarded by National Institutes of Health 2019 - 2023
- Learning Privacy for the Internet of Visual Things awarded by Cisco Systems, Inc 2018 - 2022
- Administrative Supplement: SCH: INT: Computational Tools for Avoidant/Restrictive Food Intake Disorder awarded by National Institutes of Health 2019 - 2022
- The Foundations of Dynamic Drone-based Threat Detection awarded by National Science Foundation 2017 - 2022
- Building a streamlined birth cohort to study autism risk factors and biomarkers awarded by Drexel University 2020 - 2022
- REU Site for Meeting the Grand Challenges in Engineering awarded by National Science Foundation 2017 - 2022
- Duke Expanded Access Protocol Proposal for the Cord Blood Association Foundation awarded by Cord Blood Association Foundation 2020 - 2021
- GitPaper: A Networked Model of Scientific Review and Dissemination awarded by Office of Naval Research 2017 - 2021
- Learning and Privacy in a Closed Environment awarded by Office of Naval Research 2018 - 2021
- Explainability and Trade Secrecy in AI-Enabled Clinical Decision Support, Diagnostic, and Predictive Software awarded by Greenwall Foundation 2019 - 2020
- Training in Medical Imaging awarded by National Institutes of Health 2003 - 2020
- Network Inference and Analysis of Big Dynamic Data awarded by National Geospatial-Intelligence Agency 2016 - 2020
- Modeling, Computations, and Applications in Multimodal Information Integration awarded by Office of Naval Research 2016 - 2019
- Multimodal Subspace Learning and Modeling of Complex Systems awarded by Army Research Laboratory 2016 - 2019
- Network motifs in cortical computation awarded by University of California - Los Angeles 2016 - 2019
- Synaptomes of Mice and Men awarded by Allen Institute for Brain Science 2014 - 2019
- Nonparametric Bayes Methods for Big Data in Neuroscience awarded by National Institutes of Health 2014 - 2019
- Scalable Quantitative Video Analysis for Online Phenotyping, Early Screening, and Symptom Monitoring for Autism Spectrum Disorders awarded by Simons Foundation Autism Research Initiative 2017 - 2018
- Path Toward MRI with Direct Sensitivity to Neuro-Electro-Magnetic Oscillations awarded by National Institutes of Health 2014 - 2018
- Learning to Exploit Big Data awarded by National Geospatial-Intelligence Agency 2013 - 2017
- Precursors to the development of anxiety disorders in young children with autism spectrum disorder awarded by Department of Defense 2014 - 2017
- Precursors to the development of anxiety disorders in young children with autism spectrum disorder awarded by Department of Defense 2014 - 2017
- AF: Small: Learning to Parsimoniously Model and Compute with Big Data awarded by National Science Foundation 2013 - 2017
- Visitors to the Information Initiative at Duke awarded by Office of Naval Research 2015 - 2016
- Structured and Collaborative Geometric Signal Models for Big Data Analysis: Theory and Applications in Image, Video and Audio RA 3.1.1 awarded by Army Research Office 2012 - 2016
- Informed Signal Models: Theory and Applications in Image Sciences awarded by Office of Naval Research 2012 - 2016
- MRI: Development of an Instrument that Monitors Behaviors with OCD and Schizophrenia awarded by University of Minnesota 2013 - 2016
- Information Acquisition, Analysis, and Integration awarded by University of Minnesota 2012 - 2016
- HARDI Mapping of Disease Effects on the Brain awarded by University of California - Los Angeles 2012 - 2014
- Learning sparse representations for restoration and classification: Theory, Computations, and Applications in Image, Video, and Multimodal Analysis awarded by National Science Foundation 2012 - 2013
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External Relationships
- Apple Inc.
- Surgical Information Sciences
- Tanku
- Publications & Artistic Works
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Selected Publications
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Academic Articles
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Krishnappa Babu, Pradeep Raj, Vikram Aikat, J Matias Di Martino, Zhuoqing Chang, Sam Perochon, Steven Espinosa, Rachel Aiello, et al. “Blink rate and facial orientation reveal distinctive patterns of attentional engagement in autistic toddlers: a digital phenotyping approach.” Sci Rep 13, no. 1 (May 3, 2023): 7158. https://doi.org/10.1038/s41598-023-34293-7.Full Text Link to Item
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Isaev, Dmitry Yu, Maura Sabatos-DeVito, J Matias Di Martino, Kimberly Carpenter, Rachel Aiello, Scott Compton, Naomi Davis, et al. “Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report.” J Autism Dev Disord, April 27, 2023. https://doi.org/10.1007/s10803-023-05973-0.Full Text Link to Item
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Isaev, Dmitry Yu, Roza M. Vlasova, J Matias Di Martino, Christopher D. Stephen, Jeremy D. Schmahmann, Guillermo Sapiro, and Anoopum S. Gupta. “Uncertainty of Vowel Predictions as a Digital Biomarker for Ataxic Dysarthria.” Cerebellum (London, England), April 2023. https://doi.org/10.1007/s12311-023-01539-z.Full Text
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Perochon, Sam, J. Matias Di Martino, Kimberly L. H. Carpenter, Scott Compton, Naomi Davis, Steven Espinosa, Lauren Franz, et al. “A tablet-based game for the assessment of visual motor skills in autistic children.” Npj Digit Med 6, no. 1 (February 3, 2023): 17. https://doi.org/10.1038/s41746-023-00762-6.Full Text Open Access Copy Link to Item
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Engelhard, Matthew M., Ricardo Henao, Samuel I. Berchuck, Junya Chen, Brian Eichner, Darby Herkert, Scott H. Kollins, et al. “Predictive Value of Early Autism Detection Models Based on Electronic Health Record Data Collected Before Age 1 Year.” Jama Netw Open 6, no. 2 (February 1, 2023): e2254303. https://doi.org/10.1001/jamanetworkopen.2022.54303.Full Text Link to Item
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Babu, Pradeep Raj Krishnappa, J Matias Di Martino, Zhuoqing Chang, Sam Perochon, Kimberly L. H. Carpenter, Scott Compton, Steven Espinosa, Geraldine Dawson, and Guillermo Sapiro. “Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder.” Ieee Trans Affect Comput 14, no. 2 (2023): 919–30. https://doi.org/10.1109/taffc.2021.3113876.Full Text Link to Item
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Krishnappa Babu, Pradeep Raj, J Matias Di Martino, Zhuoqing Chang, Sam Perochon, Rachel Aiello, Kimberly L. H. Carpenter, Scott Compton, et al. “Complexity analysis of head movements in autistic toddlers.” J Child Psychol Psychiatry 64, no. 1 (January 2023): 156–66. https://doi.org/10.1111/jcpp.13681.Full Text Link to Item
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Major, Samantha, Dmitry Isaev, Jordan Grapel, Todd Calnan, Elena Tenenbaum, Kimberly Carpenter, Lauren Franz, et al. “Shorter average look durations to dynamic social stimuli are associated with higher levels of autism symptoms in young autistic children.” Autism 26, no. 6 (August 2022): 1451–59. https://doi.org/10.1177/13623613211056427.Full Text Link to Item
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Chaudhary, Usamah N., Cambre N. Kelly, Benjamin R. Wesorick, Cameron M. Reese, Ken Gall, Samuel B. Adams, Guillermo Sapiro, and J Matias Di Martino. “Computational and image processing methods for analysis and automation of anatomical alignment and joint spacing in reconstructive surgery.” Int J Comput Assist Radiol Surg 17, no. 3 (March 2022): 541–51. https://doi.org/10.1007/s11548-021-02548-1.Full Text Link to Item
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Azami, Hamed, Zhuoqing Chang, Steven E. Arnold, Guillermo Sapiro, and Anoopum S. Gupta. “Detection of Oculomotor Dysmetria From Mobile Phone Video of the Horizontal Saccades Task Using Signal Processing and Machine Learning Approaches.” Ieee Access : Practical Innovations, Open Solutions 10 (January 2022): 34022–31. https://doi.org/10.1109/access.2022.3156964.Full Text
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Kim, Young Kyung, J Matías Di Martino, Julia Nicholas, Alannah Rivera-Cancel, Jennifer E. Wildes, Marsha D. Marcus, Guillermo Sapiro, and Nancy Zucker. “Parent strategies for expanding food variety: Reflections of 19,239 adults with symptoms of Avoidant/Restrictive Food Intake Disorder.” Int J Eat Disord 55, no. 1 (January 2022): 108–19. https://doi.org/10.1002/eat.23639.Full Text Link to Item
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Simhal, Anish K., Kimberly L. H. Carpenter, Joanne Kurtzberg, Allen Song, Allen Tannenbaum, Lijia Zhang, Guillermo Sapiro, and Geraldine Dawson. “Changes in the geometry and robustness of diffusion tensor imaging networks: Secondary analysis from a randomized controlled trial of young autistic children receiving an umbilical cord blood infusion.” Front Psychiatry 13 (2022): 1026279. https://doi.org/10.3389/fpsyt.2022.1026279.Full Text Link to Item
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Zhu, W., Q. Qiu, R. Calderbank, G. Sapiro, and X. Cheng. “Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters.” Journal of Machine Learning Research 23 (January 1, 2022).
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Perochon, Sam, Matias Di Martino, Rachel Aiello, Jeffrey Baker, Kimberly Carpenter, Zhuoqing Chang, Scott Compton, et al. “A scalable computational approach to assessing response to name in toddlers with autism.” J Child Psychol Psychiatry 62, no. 9 (September 2021): 1120–31. https://doi.org/10.1111/jcpp.13381.Full Text Link to Item
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Chang, Zhuoqing, J Matias Di Martino, Rachel Aiello, Jeffrey Baker, Kimberly Carpenter, Scott Compton, Naomi Davis, et al. “Computational Methods to Measure Patterns of Gaze in Toddlers With Autism Spectrum Disorder.” Jama Pediatr 175, no. 8 (August 1, 2021): 827–36. https://doi.org/10.1001/jamapediatrics.2021.0530.Full Text Link to Item
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Emani, Prashant S., Jonathan Warrell, Alan Anticevic, Stefan Bekiranov, Michael Gandal, Michael J. McConnell, Guillermo Sapiro, et al. “Quantum computing at the frontiers of biological sciences.” Nature Methods 18, no. 7 (July 2021): 701–9. https://doi.org/10.1038/s41592-020-01004-3.Full Text
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Solomon, Oren, Tara Palnitkar, Re’mi Patriat, Henry Braun, Joshua Aman, Michael C. Park, Jerrold Vitek, Guillermo Sapiro, and Noam Harel. “Deep-learning based fully automatic segmentation of the globus pallidus interna and externa using ultra-high 7 Tesla MRI.” Human Brain Mapping 42, no. 9 (June 2021): 2862–79. https://doi.org/10.1002/hbm.25409.Full Text
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Carpenter, Kimberly L. H., Jordan Hahemi, Kathleen Campbell, Steven J. Lippmann, Jeffrey P. Baker, Helen L. Egger, Steven Espinosa, Saritha Vermeer, Guillermo Sapiro, and Geraldine Dawson. “Digital Behavioral Phenotyping Detects Atypical Pattern of Facial Expression in Toddlers with Autism.” Autism Res 14, no. 3 (March 2021): 488–99. https://doi.org/10.1002/aur.2391.Full Text Link to Item
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Di Martino, J Matias, Qiang Qiu, and Guillermo Sapiro. “Rethinking Shape From Shading for Spoofing Detection.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 30 (January 2021): 1086–99. https://doi.org/10.1109/tip.2020.3042082.Full Text
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Bovery, Matthieu, Geraldine Dawson, Jordan Hashemi, and Guillermo Sapiro. “A Scalable Off-the-Shelf Framework for Measuring Patterns of Attention in Young Children and its Application in Autism Spectrum Disorder.” Ieee Trans Affect Comput 12, no. 3 (2021): 722–31. https://doi.org/10.1109/taffc.2018.2890610.Full Text Link to Item
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Hashemi, Jordan, Geraldine Dawson, Kimberly L. H. Carpenter, Kathleen Campbell, Qiang Qiu, Steven Espinosa, Samuel Marsan, Jeffrey P. Baker, Helen L. Egger, and Guillermo Sapiro. “Computer Vision Analysis for Quantification of Autism Risk Behaviors.” Ieee Trans Affect Comput 12, no. 1 (2021): 215–26. https://doi.org/10.1109/taffc.2018.2868196.Full Text Link to Item
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Chang, Zhuoqing, Ziyu Chen, Christopher D. Stephen, Jeremy D. Schmahmann, Hau-Tieng Wu, Guillermo Sapiro, and Anoopum S. Gupta. “Accurate detection of cerebellar smooth pursuit eye movement abnormalities via mobile phone video and machine learning.” Scientific Reports 10, no. 1 (October 2020): 18641. https://doi.org/10.1038/s41598-020-75661-x.Full Text
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Major, Samantha, Kathleen Campbell, Steven Espinosa, Jeffrey P. Baker, Kimberly Lh Carpenter, Guillermo Sapiro, Saritha Vermeer, and Geraldine Dawson. “Impact of a digital Modified Checklist for Autism in Toddlers-Revised on likelihood and age of autism diagnosis and referral for developmental evaluation.” Autism 24, no. 7 (October 2020): 1629–38. https://doi.org/10.1177/1362361320916656.Full Text Link to Item
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Tenenbaum, Elena J., Kimberly L. H. Carpenter, Maura Sabatos-DeVito, Jordan Hashemi, Saritha Vermeer, Guillermo Sapiro, and Geraldine Dawson. “A Six-Minute Measure of Vocalizations in Toddlers with Autism Spectrum Disorder.” Autism Res 13, no. 8 (August 2020): 1373–82. https://doi.org/10.1002/aur.2293.Full Text Open Access Copy Link to Item
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Simhal, Anish K., Kimberly L. H. Carpenter, Saad Nadeem, Joanne Kurtzberg, Allen Song, Allen Tannenbaum, Guillermo Sapiro, and Geraldine Dawson. “Measuring robustness of brain networks in autism spectrum disorder with Ricci curvature.” Sci Rep 10, no. 1 (July 2, 2020): 10819. https://doi.org/10.1038/s41598-020-67474-9.Full Text Open Access Copy Link to Item
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Martino, J Matias Di, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, and Guillermo Sapiro. “Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method.” Ieee Transactions on Pattern Analysis and Machine Intelligence 42, no. 7 (July 2020): 1582–93. https://doi.org/10.1109/tpami.2020.2986951.Full Text
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Isaev, Dmitry Yu, Samantha Major, Michael Murias, Kimberly L. H. Carpenter, David Carlson, Guillermo Sapiro, and Geraldine Dawson. “Relative Average Look Duration and its Association with Neurophysiological Activity in Young Children with Autism Spectrum Disorder.” Sci Rep 10, no. 1 (February 5, 2020): 1912. https://doi.org/10.1038/s41598-020-57902-1.Full Text Link to Item
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Dawson, Geraldine, Kathleen Campbell, Jordan Hashemi, Steven J. Lippmann, Valerie Smith, Kimberly Carpenter, Helen Egger, et al. “Author Correction: Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder.” Sci Rep 10, no. 1 (January 14, 2020): 616. https://doi.org/10.1038/s41598-020-57570-1.Full Text Link to Item
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Giryes, R., G. Sapiro, and A. M. Bronstein. “Erratum: Deep neural networks with random Gaussian weights: A universal classification strategy? (IEEE Transactions on Signal Processing (2016) 64:13 (3444-3457) DOI: 10.1109/TSP.2016.2546221).” Ieee Transactions on Signal Processing 68 (January 1, 2020): 529–31. https://doi.org/10.1109/TSP.2019.2961228.Full Text
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Wang, Z., X. Cheng, G. Sapiro, and Q. Qiu. “A dictionary approach to domain-invariant learning in deep networks.” Advances in Neural Information Processing Systems 2020-December (January 1, 2020).
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Chang, Z., J. M. DI Martino, Q. Qiu, S. Espinosa, and G. Sapiro. “Salgaze: Personalizing gaze estimation using visual saliency.” Proceedings 2019 International Conference on Computer Vision Workshop, Iccvw 2019, October 1, 2019, 1169–78. https://doi.org/10.1109/ICCVW.2019.00148.Full Text
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Wang, Z., S. DIng, Y. Li, M. Zhao, S. Roychowdhury, A. Wallin, G. Sapiro, and Q. Qiu. “Range adaptation for 3d object detection in LiDAR.” Proceedings 2019 International Conference on Computer Vision Workshop, Iccvw 2019, October 1, 2019, 2320–28. https://doi.org/10.1109/ICCVW.2019.00285.Full Text
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Simhal, Anish K., Yi Zuo, Marc M. Perez, Daniel V. Madison, Guillermo Sapiro, and Kristina D. Micheva. “Multifaceted Changes in Synaptic Composition and Astrocytic Involvement in a Mouse Model of Fragile X Syndrome.” Scientific Reports 9, no. 1 (September 2019): 13855. https://doi.org/10.1038/s41598-019-50240-x.Full Text
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Asiedu, Mercy Nyamewaa, Anish Simhal, Usamah Chaudhary, Jenna L. Mueller, Christopher T. Lam, John W. Schmitt, Gino Venegas, Guillermo Sapiro, and Nimmi Ramanujam. “Development of Algorithms for Automated Detection of Cervical Pre-Cancers With a Low-Cost, Point-of-Care, Pocket Colposcope.” Ieee Trans Biomed Eng 66, no. 8 (August 2019): 2306–18. https://doi.org/10.1109/TBME.2018.2887208.Full Text Link to Item
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Dawson, Geraldine, and Guillermo Sapiro. “Potential for Digital Behavioral Measurement Tools to Transform the Detection and Diagnosis of Autism Spectrum Disorder.” Jama Pediatr 173, no. 4 (April 1, 2019): 305–6. https://doi.org/10.1001/jamapediatrics.2018.5269.Full Text Link to Item
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Campbell, Kathleen, Kimberly Lh Carpenter, Jordan Hashemi, Steven Espinosa, Samuel Marsan, Jana Schaich Borg, Zhuoqing Chang, et al. “Computer vision analysis captures atypical attention in toddlers with autism.” Autism 23, no. 3 (April 2019): 619–28. https://doi.org/10.1177/1362361318766247.Full Text Link to Item
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Sapiro, G., J. Hashemi, and G. Dawson. “Computer vision and behavioral phenotyping: an autism case study.” Current Opinion in Biomedical Engineering 9 (March 1, 2019): 14–20. https://doi.org/10.1016/j.cobme.2018.12.002.Full Text
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Shamir, Reuben R., Yuval Duchin, Jinyoung Kim, Remi Patriat, Odeya Marmor, Hagai Bergman, Jerrold L. Vitek, et al. “Microelectrode Recordings Validate the Clinical Visualization of Subthalamic-Nucleus Based on 7T Magnetic Resonance Imaging and Machine Learning for Deep Brain Stimulation Surgery.” Neurosurgery 84, no. 3 (March 2019): 749–57. https://doi.org/10.1093/neuros/nyy212.Full Text
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Kim, Jinyoung, Yuval Duchin, Reuben R. Shamir, Remi Patriat, Jerrold Vitek, Noam Harel, and Guillermo Sapiro. “Automatic localization of the subthalamic nucleus on patient-specific clinical MRI by incorporating 7 T MRI and machine learning: Application in deep brain stimulation.” Human Brain Mapping 40, no. 2 (February 2019): 679–98. https://doi.org/10.1002/hbm.24404.Full Text
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Azami, H., S. E. Arnold, S. Sanei, Z. Chang, G. Sapiro, J. Escudero, and A. S. Gupta. “Multiscale fluctuation-based dispersion entropy and its applications to neurological diseases.” Ieee Access 7 (January 1, 2019): 68718–33. https://doi.org/10.1109/ACCESS.2019.2918560.Full Text
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Cheng, X., Q. Qiu, R. Calderbank, and G. Sapiro. “RoTDCF: Decomposition of convolutional filters for rotation-equivariant deep networks.” 7th International Conference on Learning Representations, Iclr 2019, January 1, 2019.Open Access Copy
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Fellous, Jean-Marc, Guillermo Sapiro, Andrew Rossi, Helen Mayberg, and Michele Ferrante. “Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation.” Frontiers in Neuroscience 13 (January 2019): 1346. https://doi.org/10.3389/fnins.2019.01346.Full Text
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Lezama, J., Q. Qiu, P. Musé, and G. Sapiro. “OLE: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, December 14, 2018, 8109–18. https://doi.org/10.1109/CVPR.2018.00846.Full Text
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Zhu, W., Q. Qiu, J. Huang, R. Calderbank, G. Sapiro, and I. Daubechies. “LDMNet: Low Dimensional Manifold Regularized Neural Networks.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, December 14, 2018, 2743–51. https://doi.org/10.1109/CVPR.2018.00290.Full Text
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Dawson, Geraldine, Kathleen Campbell, Jordan Hashemi, Steven J. Lippmann, Valerie Smith, Kimberly Carpenter, Helen Egger, et al. “Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder.” Sci Rep 8, no. 1 (November 19, 2018): 17008. https://doi.org/10.1038/s41598-018-35215-8.Full Text Link to Item
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Aguerrebere, C., M. Delbracio, A. Bartesaghi, and G. Sapiro. “A Practical Guide to Multi-Image Alignment.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 2018-April (September 10, 2018): 1927–31. https://doi.org/10.1109/ICASSP.2018.8461588.Full Text
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Bartesaghi, Alberto, Cecilia Aguerrebere, Veronica Falconieri, Soojay Banerjee, Lesley A. Earl, Xing Zhu, Nikolaus Grigorieff, et al. “Atomic Resolution Cryo-EM Structure of β-Galactosidase.” Structure (London, England : 1993) 26, no. 6 (June 2018): 848-856.e3. https://doi.org/10.1016/j.str.2018.04.004.Full Text
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Giryes, R., Y. C. Eldar, A. M. Bronstein, and G. Sapiro. “Tradeoffs between convergence speed and reconstruction accuracy in inverse problems.” Ieee Transactions on Signal Processing 66, no. 7 (April 1, 2018): 1676–90. https://doi.org/10.1109/TSP.2018.2791945.Full Text
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Vu, Mai-Anh T., Tülay Adalı, Demba Ba, György Buzsáki, David Carlson, Katherine Heller, Conor Liston, et al. “A Shared Vision for Machine Learning in Neuroscience.” J Neurosci 38, no. 7 (February 14, 2018): 1601–7. https://doi.org/10.1523/JNEUROSCI.0508-17.2018.Full Text Link to Item
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Pisharady, Pramod Kumar, Stamatios N. Sotiropoulos, Julio M. Duarte-Carvajalino, Guillermo Sapiro, and Christophe Lenglet. “Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning.” Neuroimage 167 (February 2018): 488–503. https://doi.org/10.1016/j.neuroimage.2017.06.052.Full Text
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Bertrán, Martín A., Natalia L. Martínez, Ye Wang, David Dunson, Guillermo Sapiro, and Dario Ringach. “Active learning of cortical connectivity from two-photon imaging data.” Plos One 13, no. 5 (January 2018): e0196527. https://doi.org/10.1371/journal.pone.0196527.Full Text
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Duchin, Yuval, Reuben R. Shamir, Remi Patriat, Jinyoung Kim, Jerrold L. Vitek, Guillermo Sapiro, and Noam Harel. “Patient-specific anatomical model for deep brain stimulation based on 7 Tesla MRI.” Plos One 13, no. 8 (January 2018): e0201469. https://doi.org/10.1371/journal.pone.0201469.Full Text
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Qiu, Q., J. Lezama, A. Bronstein, and G. Sapiro. “ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11206 LNCS (January 1, 2018): 442–59. https://doi.org/10.1007/978-3-030-01216-8_27.Full Text
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Qiu, Q., X. Cheng, R. Calderbank, and G. Sapiro. “DCFNet: Deep Neural Network with Decomposed Convolutional Filters.” 35th International Conference on Machine Learning, Icml 2018 9 (January 1, 2018): 6687–96.Open Access Copy
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Simhal, Anish K., Belvin Gong, James S. Trimmer, Richard J. Weinberg, Stephen J. Smith, Guillermo Sapiro, and Kristina D. Micheva. “A Computational Synaptic Antibody Characterization Tool for Array Tomography.” Frontiers in Neuroanatomy 12 (January 2018): 51. https://doi.org/10.3389/fnana.2018.00051.Full Text
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Chiew, Kimberly S., Jordan Hashemi, Lee K. Gans, Laura Lerebours, Nathaniel J. Clement, Mai-Anh T. Vu, Guillermo Sapiro, Nicole E. Heller, and R Alison Adcock. “Motivational valence alters memory formation without altering exploration of a real-life spatial environment.” Plos One 13, no. 3 (2018): e0193506. https://doi.org/10.1371/journal.pone.0193506.Full Text Link to Item
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Egger, Helen L., Geraldine Dawson, Jordan Hashemi, Kimberly L. H. Carpenter, Steven Espinosa, Kathleen Campbell, Samuel Brotkin, et al. “Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study.” Npj Digit Med 1 (2018): 20. https://doi.org/10.1038/s41746-018-0024-6.Full Text Open Access Copy Link to Item
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Lezama, J., Q. Qiu, and G. Sapiro. “Not afraid of the dark: NIR-VIS face recognition via cross-spectral hallucination and low-rank embedding.” Proceedings 30th Ieee Conference on Computer Vision and Pattern Recognition, Cvpr 2017 2017-January (November 6, 2017): 6807–16. https://doi.org/10.1109/CVPR.2017.720.Full Text
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Ye, Q., T. Zhang, W. Ke, Q. Qiu, J. Chen, G. Sapiro, and B. Zhang. “Self-learning scene-specific pedestrian detectors using a progressive latent model.” Proceedings 30th Ieee Conference on Computer Vision and Pattern Recognition, Cvpr 2017 2017-January (November 6, 2017): 2057–66. https://doi.org/10.1109/CVPR.2017.222.Full Text
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Sokolić, J., R. Giryes, G. Sapiro, and M. R. D. Rodrigues. “Robust Large Margin Deep Neural Networks.” Ieee Transactions on Signal Processing 65, no. 16 (August 15, 2017): 4265–80. https://doi.org/10.1109/TSP.2017.2708039.Full Text
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Campbell, Kathleen, Kimberly L. H. Carpenter, Steven Espinosa, Jordan Hashemi, Qiang Qiu, Mariano Tepper, Robert Calderbank, et al. “Use of a Digital Modified Checklist for Autism in Toddlers - Revised with Follow-up to Improve Quality of Screening for Autism.” J Pediatr 183 (April 2017): 133-139.e1. https://doi.org/10.1016/j.jpeds.2017.01.021.Full Text Link to Item
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Simhal, Anish K., Cecilia Aguerrebere, Forrest Collman, Joshua T. Vogelstein, Kristina D. Micheva, Richard J. Weinberg, Stephen J. Smith, and Guillermo Sapiro. “Probabilistic fluorescence-based synapse detection.” Plos Computational Biology 13, no. 4 (April 2017): e1005493. https://doi.org/10.1371/journal.pcbi.1005493.Full Text
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Gunalan, Kabilar, Ashutosh Chaturvedi, Bryan Howell, Yuval Duchin, Scott F. Lempka, Remi Patriat, Guillermo Sapiro, Noam Harel, and Cameron C. McIntyre. “Creating and parameterizing patient-specific deep brain stimulation pathway-activation models using the hyperdirect pathway as an example.” Plos One 12, no. 4 (January 2017): e0176132. https://doi.org/10.1371/journal.pone.0176132.Full Text Open Access Copy
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Lezama, José, Dibyendu Mukherjee, Ryan P. McNabb, Guillermo Sapiro, Anthony N. Kuo, and Sina Farsiu. “Segmentation guided registration of wide field-of-view retinal optical coherence tomography volumes.” Biomed Opt Express 7, no. 12 (December 1, 2016): 4827–46. https://doi.org/10.1364/BOE.7.004827.Full Text Link to Item
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Elhamifar, Ehsan, Guillermo Sapiro, and S Shankar Sastry. “Dissimilarity-Based Sparse Subset Selection.” Ieee Transactions on Pattern Analysis and Machine Intelligence 38, no. 11 (November 2016): 2182–97. https://doi.org/10.1109/tpami.2015.2511748.Full Text
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Aguerrebere, C., M. Delbracio, A. Bartesaghi, and G. Sapiro. “Fundamental limits in multi-image alignment.” Ieee Transactions on Signal Processing 64, no. 21 (November 1, 2016): 5707–22. https://doi.org/10.1109/TSP.2016.2600517.Full Text
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Giryes, R., G. Sapiro, and A. M. Bronstein. “Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?” Ieee Transactions on Signal Processing 64, no. 13 (July 1, 2016): 3444–57. https://doi.org/10.1109/TSP.2016.2546221.Full Text
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Tepper, M., and G. Sapiro. “Compressed Nonnegative Matrix Factorization Is Fast and Accurate.” Ieee Transactions on Signal Processing 64, no. 9 (May 1, 2016): 2269–83. https://doi.org/10.1109/TSP.2016.2516971.Full Text
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Qiu, Q., A. Thompson, R. Calderbank, and G. Sapiro. “Data Representation Using the Weyl Transform.” Ieee Transactions on Signal Processing 64, no. 7 (April 1, 2016): 1844–53. https://doi.org/10.1109/TSP.2015.2505661.Full Text
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Carpenter, Kimberly L. H., Pablo Sprechmann, Robert Calderbank, Guillermo Sapiro, and Helen L. Egger. “Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach.” Plos One 11, no. 11 (2016): e0165524. https://doi.org/10.1371/journal.pone.0165524.Full Text Link to Item
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Lyzinski, Vince, Donniell E. Fishkind, Marcelo Fiori, Joshua T. Vogelstein, Carey E. Priebe, and Guillermo Sapiro. “Graph Matching: Relax at Your Own Risk.” Ieee Transactions on Pattern Analysis and Machine Intelligence 38, no. 1 (January 2016): 60–73. https://doi.org/10.1109/tpami.2015.2424894.Full Text
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Delbracio, M., and G. Sapiro. “Hand-Held Video Deblurring Via Efficient Fourier Aggregation.” Ieee Transactions on Computational Imaging 1, no. 4 (December 1, 2015): 270–83. https://doi.org/10.1109/TCI.2015.2501245.Full Text
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Delbracio, Mauricio, and Guillermo Sapiro. “Removing Camera Shake via Weighted Fourier Burst Accumulation.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 24, no. 11 (November 2015): 3293–3307. https://doi.org/10.1109/tip.2015.2442914.Full Text
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Sprechmann, P., A. M. Bronstein, and G. Sapiro. “Learning Efficient Sparse and Low Rank Models.” Ieee Transactions on Pattern Analysis and Machine Intelligence 37, no. 9 (September 2015): 1821–33. https://doi.org/10.1109/tpami.2015.2392779.Full Text
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Lucas, J. E., and G. Sapiro. “Cancer: What's luck got to do with it?” Significance 12, no. 2 (April 1, 2015): 40–42. https://doi.org/10.1111/j.1740-9713.2015.00816.x.Full Text
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Fiori, M., and G. Sapiro. “On spectral properties for graph matching and graph isomorphism problems.” Information and Inference 4, no. 1 (March 1, 2015): 63–76. https://doi.org/10.1093/imaiai/iav002.Full Text
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Qiu, Q., and G. Sapiro. “Learning transformations for clustering and classification.” Journal of Machine Learning Research 16 (February 1, 2015): 187–225.
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Qiu, Q., G. Sapiro, and A. Bronstein. “Random forests can hash.” 3rd International Conference on Learning Representations, Iclr 2015 Workshop Track Proceedings, January 1, 2015.
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Yang, Jianbo, Xuejun Liao, Xin Yuan, Patrick Llull, David J. Brady, Guillermo Sapiro, and Lawrence Carin. “Compressive sensing by learning a Gaussian mixture model from measurements.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 24, no. 1 (January 2015): 106–19. https://doi.org/10.1109/tip.2014.2365720.Full Text
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Hashemi, J., K. Campbell, K. Carpenter, A. Harris, Q. Qiu, M. Tepper, S. Espinosa, et al. “A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study.” Proceedings of the 5th Eai International Conference on Wireless Mobile Communication and Healthcare, 2015, 23–27.Link to Item
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Tepper, M., and G. Sapiro. “A biclustering framework for consensus problems.” Siam Journal on Imaging Sciences 7, no. 4 (November 25, 2014): 2488–2552. https://doi.org/10.1137/140967325.Full Text
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Duarte-Carvajalino, Julio M., Christophe Lenglet, Junqian Xu, Essa Yacoub, Kamil Ugurbil, Steen Moeller, Lawrence Carin, and Guillermo Sapiro. “Estimation of the CSA-ODF using Bayesian compressed sensing of multi-shell HARDI.” Magnetic Resonance in Medicine 72, no. 5 (November 2014): 1471–85. https://doi.org/10.1002/mrm.25046.Full Text
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Yang, Jianbo, Xin Yuan, Xuejun Liao, Patrick Llull, David J. Brady, Guillermo Sapiro, and Lawrence Carin. “Video compressive sensing using Gaussian mixture models.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 23, no. 11 (November 2014): 4863–78. https://doi.org/10.1109/tip.2014.2344294.Full Text
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Kim, Jinyoung, Christophe Lenglet, Yuval Duchin, Guillermo Sapiro, and Noam Harel. “Semiautomatic segmentation of brain subcortical structures from high-field MRI.” Ieee Journal of Biomedical and Health Informatics 18, no. 5 (September 2014): 1678–95. https://doi.org/10.1109/jbhi.2013.2292858.Full Text
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Prasad, Gautam, Shantanu H. Joshi, Neda Jahanshad, Julio Villalon-Reina, Iman Aganj, Christophe Lenglet, Guillermo Sapiro, et al. “Automatic clustering and population analysis of white matter tracts using maximum density paths.” Neuroimage 97 (August 2014): 284–95. https://doi.org/10.1016/j.neuroimage.2014.04.033.Full Text
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Harrison, Benjamin D., Jordan Hashemi, Maayan Bibi, Rebecca Pulver, Danny Bavli, Yaakov Nahmias, Melanie Wellington, Guillermo Sapiro, and Judith Berman. “A tetraploid intermediate precedes aneuploid formation in yeasts exposed to fluconazole.” Plos Biology 12, no. 3 (March 2014): e1001815. https://doi.org/10.1371/journal.pbio.1001815.Full Text
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Carpenter, K., P. Sprechmann, M. Fiori, R. Calderbank, H. Egger, and G. Sapiro. “Questionnaire simplification for fast risk analysis of children's mental health.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, January 1, 2014, 6009–13. https://doi.org/10.1109/ICASSP.2014.6854757.Full Text
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Fiori, M., P. Musé, and G. Sapiro. “A complete system for candidate polyps detection in virtual colonoscopy.” International Journal of Pattern Recognition and Artificial Intelligence 28, no. 7 (January 1, 2014). https://doi.org/10.1142/S0218001414600143.Full Text
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Hashemi, Jordan, Mariano Tepper, Thiago Vallin Spina, Amy Esler, Vassilios Morellas, Nikolaos Papanikolopoulos, Helen Egger, Geraldine Dawson, and Guillermo Sapiro. “Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants.” Autism Res Treat 2014 (2014): 935686. https://doi.org/10.1155/2014/935686.Full Text Open Access Copy Link to Item
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Qiu, Q., and G. Sapiro. “Learning transformations for classification forests.” 2nd International Conference on Learning Representations, Iclr 2014 Conference Track Proceedings, January 1, 2014.
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Sprechmann, P., A. M. Bronstein, and G. Sapiro. “Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement.” 2014 4th Joint Workshop on Hands Free Speech Communication and Microphone Arrays, Hscma 2014, January 1, 2014, 11–15. https://doi.org/10.1109/HSCMA.2014.6843241.Full Text
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Tepper, M., and G. Sapiro. “All for one, one for all: Consensus community detection in networks.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, January 1, 2014, 1075–79. https://doi.org/10.1109/ICASSP.2014.6853762.Full Text
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Fiori, M., P. Musé, and G. Sapiro. “Polyps flagging in virtual colonoscopy.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8259 LNCS, no. PART 2 (December 1, 2013): 181–89. https://doi.org/10.1007/978-3-642-41827-3_23.Full Text
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Tepper, M., and G. Sapiro. “Ants crawling to discover the community structure in networks.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8259 LNCS, no. PART 2 (December 1, 2013): 552–59. https://doi.org/10.1007/978-3-642-41827-3_69.Full Text
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Walczak, N., J. Fasching, W. D. Toczyski, V. Morellas, G. Sapiro, and N. Papanikolopoulos. “Locating occupants in preschool classrooms using a multiple RGB-D sensor system.” Ieee International Conference on Intelligent Robots and Systems, December 1, 2013, 2166–72. https://doi.org/10.1109/IROS.2013.6696659.Full Text
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Sprechmann, P., A. Bronstein, J. M. Morel, and G. Sapiro. “Audio restoration from multiple copies.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, October 18, 2013, 878–82. https://doi.org/10.1109/ICASSP.2013.6637774.Full Text
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Sprechmann, P., A. Bronstein, M. Bronstein, and G. Sapiro. “Learnable low rank sparse models for speech denoising.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, October 18, 2013, 136–40. https://doi.org/10.1109/ICASSP.2013.6637624.Full Text
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Cetingul, H. E., L. Dumont, M. S. Nadar, P. M. Thompson, G. Sapiro, and C. Lenglet. “Importance sampling spherical harmonics to improve probabilistic tractography.” Proceedings 2013 3rd International Workshop on Pattern Recognition in Neuroimaging, Prni 2013, October 15, 2013, 46–49. https://doi.org/10.1109/PRNI.2013.21.Full Text
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Sotiropoulos, Stamatios N., Saad Jbabdi, Junqian Xu, Jesper L. Andersson, Steen Moeller, Edward J. Auerbach, Matthew F. Glasser, et al. “Advances in diffusion MRI acquisition and processing in the Human Connectome Project.” Neuroimage 80 (October 2013): 125–43. https://doi.org/10.1016/j.neuroimage.2013.05.057.Full Text
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Uğurbil, Kamil, Junqian Xu, Edward J. Auerbach, Steen Moeller, An T. Vu, Julio M. Duarte-Carvajalino, Christophe Lenglet, et al. “Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.” Neuroimage 80 (October 2013): 80–104. https://doi.org/10.1016/j.neuroimage.2013.05.012.Full Text
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Chen, Bo, Gungor Polatkan, Guillermo Sapiro, David Blei, David Dunson, and Lawrence Carin. “Deep learning with hierarchical convolutional factor analysis.” Ieee Transactions on Pattern Analysis and Machine Intelligence 35, no. 8 (August 2013): 1887–1901. https://doi.org/10.1109/tpami.2013.19.Full Text
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Qiu, Qiang, Guillermo Sapiro, and Ching-Hui Chen. “Domain-invariant Face Recognition using Learned Low-rank Transformation,” August 1, 2013.Link to Item
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Qiu, Qiang, and Guillermo Sapiro. “Learning Robust Subspace Clustering,” August 1, 2013.Link to Item
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Caruyer, Emmanuel, Christophe Lenglet, Guillermo Sapiro, and Rachid Deriche. “Design of multishell sampling schemes with uniform coverage in diffusion MRI.” Magnetic Resonance in Medicine 69, no. 6 (June 2013): 1534–40. https://doi.org/10.1002/mrm.24736.Full Text
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Spina, Thiago V., Mariano Tepper, Amy Esler, Vassilios Morellas, Nikolaos Papanikolopoulos, Alexandre X. Falcão, and Guillermo Sapiro. “Video Human Segmentation using Fuzzy Object Models and its Application to Body Pose Estimation of Toddlers for Behavior Studies,” May 29, 2013.Link to Item
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Llull, Patrick, Xuejun Liao, Xin Yuan, Jianbo Yang, David Kittle, Lawrence Carin, Guillermo Sapiro, and David J. Brady. “Coded aperture compressive temporal imaging.” Optics Express 21, no. 9 (May 2013): 10526–45. https://doi.org/10.1364/oe.21.010526.Full Text Open Access Copy
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Su, Shu, Tonya White, Marcus Schmidt, Chiu-Yen Kao, and Guillermo Sapiro. “Geometric computation of human gyrification indexes from magnetic resonance images.” Human Brain Mapping 34, no. 5 (May 2013): 1230–44. https://doi.org/10.1002/hbm.21510.Full Text
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Harris, Audray K., Joel R. Meyerson, Yumiko Matsuoka, Oleg Kuybeda, Amy Moran, Donald Bliss, Suman R. Das, et al. “Structure and accessibility of HA trimers on intact 2009 H1N1 pandemic influenza virus to stem region-specific neutralizing antibodies.” Proceedings of the National Academy of Sciences of the United States of America 110, no. 12 (March 2013): 4592–97. https://doi.org/10.1073/pnas.1214913110.Full Text
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Kuybeda, Oleg, Gabriel A. Frank, Alberto Bartesaghi, Mario Borgnia, Sriram Subramaniam, and Guillermo Sapiro. “A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography.” J Struct Biol 181, no. 2 (February 2013): 116–27. https://doi.org/10.1016/j.jsb.2012.10.010.Full Text Link to Item
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Duarte-Carvajalino, J. M., G. Yu, L. Carin, and G. Sapiro. “Task-driven adaptive statistical compressive sensing of gaussian mixture models.” Ieee Transactions on Signal Processing 61, no. 3 (January 21, 2013): 585–600. https://doi.org/10.1109/TSP.2012.2225054.Full Text Open Access Copy
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Caruyer, Emmanuel, Iman Aganj, Christophe Lenglet, Guillermo Sapiro, and Rachid Deriche. “Motion Detection in Diffusion MRI via Online ODF Estimation.” International Journal of Biomedical Imaging 2013 (January 2013): 849363. https://doi.org/10.1155/2013/849363.Full Text
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Chen, B., G. Polatkan, G. Sapiro, D. Blei, D. Dunson, and L. Carin. “Deep Learning with Hierarchical Convolutional Factor Analysis.” Ieee Transactions on Pattern Analysis and Machine Intelligence, January 2013.
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Duarte-Carvajalino, Julio M., Guillermo Sapiro, Noam Harel, and Christophe Lenglet. “A Framework for Linear and Non-Linear Registration of Diffusion-Weighted MRIs Using Angular Interpolation.” Frontiers in Neuroscience 7 (January 2013): 41. https://doi.org/10.3389/fnins.2013.00041.Full Text
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Elhamifar, E., G. Sapiro, A. Yang, and S. S. Sasrty. “A convex optimization framework for active learning.” Proceedings of the Ieee International Conference on Computer Vision, January 1, 2013, 209–16. https://doi.org/10.1109/ICCV.2013.33.Full Text
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Fiori, M., P. Sprechmann, J. Vogelstein, P. Musé, and G. Sapiro. “Robust multimodal graph matching: Sparse coding meets graph matching.” Advances in Neural Information Processing Systems, January 1, 2013.
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Llull, P., X. Liao, X. Yuan, J. Yang, D. Kittle, L. Carin, G. Sapiro, and D. J. Brady. “Compressive sensing for video using a passive coding element.” Optics Infobase Conference Papers, January 1, 2013.
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Pokrass, J., A. M. Bronstein, M. M. Bronstein, P. Sprechmann, and G. Sapiro. “Sparse modeling of intrinsic correspondences.” Computer Graphics Forum 32, no. 2 PART4 (January 1, 2013): 459–68. https://doi.org/10.1111/cgf.12066.Full Text
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Sprechmann, P., R. Litman, T. Ben Yakar, A. Bronstein, and G. Sapiro. “Efficient supervised sparse analysis and synthesis operators.” Advances in Neural Information Processing Systems, January 1, 2013.
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Duarte-Carvajalino, Julio Martin, Guoshen Yu, Lawrence Carin, and Guillermo Sapiro. “Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models.” Ieee Trans. Signal Process. 61 (2013): 585–600. https://doi.org/10.1109/TSP.2012.2225054.Full Text
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Tepper, M., and G. Sapiro. “Fast L1 smoothing splines with an application to Kinect depth data.” 2013 Ieee International Conference on Image Processing, Icip 2013 Proceedings, January 1, 2013, 504–8. https://doi.org/10.1109/ICIP.2013.6738104.Full Text
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Yang, J., X. Yuan, X. Liao, P. Llull, G. Sapiro, D. J. Brady, and L. Carin. “Gaussian mixture model for video compressive sensing.” 2013 Ieee International Conference on Image Processing, Icip 2013 Proceedings, January 1, 2013, 19–23. https://doi.org/10.1109/ICIP.2013.6738005.Full Text
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Yuan, X., J. Yang, P. Llull, X. Liao, G. Sapiro, D. J. Brady, and L. Carin. “Adaptive temporal compressive sensing for video.” 2013 Ieee International Conference on Image Processing, Icip 2013 Proceedings, January 1, 2013, 14–18. https://doi.org/10.1109/ICIP.2013.6738004.Full Text Open Access Copy
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Zhan, Liang, Bryon A. Mueller, Neda Jahanshad, Yan Jin, Christophe Lenglet, Essa Yacoub, Guillermo Sapiro, et al. “Magnetic resonance field strength effects on diffusion measures and brain connectivity networks.” Brain Connectivity 3, no. 1 (January 2013): 72–86. https://doi.org/10.1089/brain.2012.0114.Full Text
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Asiaee T., A., M. Tepper, A. Banerjee, and G. Sapiro. “If you are happy and you know it... tweet.” Acm International Conference Proceeding Series, December 19, 2012, 1602–6. https://doi.org/10.1145/2396761.2398481.Full Text
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Elhamifar, E., G. Sapiro, and R. Vidal. “Finding exemplars from pairwise dissimilarities via simultaneous sparse recovery.” Advances in Neural Information Processing Systems 1 (December 1, 2012): 19–27.
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Fiori, M., P. Musé, and G. Sapiro. “Topology constraints in graphical models.” Advances in Neural Information Processing Systems 1 (December 1, 2012): 791–99.
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Michaeli, T., Y. C. Eldar, and G. Sapiro. “Semi-supervised single- And multi-domain regression with multi-domain training.” Information and Inference 1, no. 1 (December 1, 2012): 68–97. https://doi.org/10.1093/imaiai/ias003.Full Text
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Tepper, M., and G. Sapiro. “Decoupled coarse-to-fine matching and nonlinear regularization for efficient motion estimation.” Proceedings International Conference on Image Processing, Icip, December 1, 2012, 1517–20. https://doi.org/10.1109/ICIP.2012.6467160.Full Text
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Bartesaghi, Alberto, Federico Lecumberry, Guillermo Sapiro, and Sriram Subramaniam. “Protein secondary structure determination by constrained single-particle cryo-electron tomography.” Structure (London, England : 1993) 20, no. 12 (December 2012): 2003–13. https://doi.org/10.1016/j.str.2012.10.016.Full Text
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Hashemi, Jordan, Thiago Vallin Spina, Mariano Tepper, Amy Esler, Vassilios Morellas, Nikolaos Papanikolopoulos, and Guillermo Sapiro. “Computer vision tools for the non-invasive assessment of autism-related behavioral markers,” October 25, 2012.Open Access Copy Link to Item
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Duarte-Carvajalino, J. M., G. Yu, L. Carin, and G. Sapiro. “Adapted statistical compressive sensing: Learning to sense gaussian mixture models.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, October 23, 2012, 3653–56. https://doi.org/10.1109/ICASSP.2012.6288708.Full Text
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Michaeli, T., Y. C. Eldar, and G. Sapiro. “Semi-supervised multi-domain regression with distinct training sets.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, October 23, 2012, 2145–48. https://doi.org/10.1109/ICASSP.2012.6288336.Full Text
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Ramírez, I., and G. Sapiro. “LOw-rank data modeling via the minimum description length principle.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, October 23, 2012, 2165–68. https://doi.org/10.1109/ICASSP.2012.6288341.Full Text
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Sprechmann, P., P. Cancela, and G. Sapiro. “Gaussian mixture models for score-informed instrument separation.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, October 23, 2012, 49–52. https://doi.org/10.1109/ICASSP.2012.6287814.Full Text
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Sprechmann, P., A. Bronstein, and G. Sapiro. “Learning efficient structured sparse models.” Proceedings of the 29th International Conference on Machine Learning, Icml 2012 1 (October 10, 2012): 615–22.
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Castrodad, A., and G. Sapiro. “Sparse modeling of human actions from motion imagery.” International Journal of Computer Vision 100, no. 1 (October 1, 2012): 1–15. https://doi.org/10.1007/s11263-012-0534-7.Full Text
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Elhamifar, E., G. Sapiro, and R. Vidal. “See all by looking at a few: Sparse modeling for finding representative objects.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, October 1, 2012, 1600–1607. https://doi.org/10.1109/CVPR.2012.6247852.Full Text
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Sprechmann, Pablo, Alex M. Bronstein, and Guillermo Sapiro. “Learning Robust Low-Rank Representations,” September 27, 2012.Link to Item
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Ramírez, Ignacio, and Guillermo Sapiro. “Universal regularizers for robust sparse coding and modeling.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 21, no. 9 (September 2012): 3850–64. https://doi.org/10.1109/tip.2012.2197006.Full Text
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Tang, Zhongwei, Alexey Castrodad, Mariano Tepper, and Guillermo Sapiro. “Are You Imitating Me? Unsupervised Sparse Modeling for Group Activity Analysis from a Single Video,” August 27, 2012.Link to Item
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Tepper, Mariano, and Guillermo Sapiro. “L1 Splines for Robust, Simple, and Fast Smoothing of Grid Data,” August 10, 2012.Link to Item
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Esser, Ernie, Michael Möller, Stanley Osher, Guillermo Sapiro, and Jack Xin. “A convex model for nonnegative matrix factorization and dimensionality reduction on physical space.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 21, no. 7 (July 2012): 3239–52. https://doi.org/10.1109/tip.2012.2190081.Full Text
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Yatziv, Liron, Mathieu Chartouni, Saurabh Datta, and Guillermo Sapiro. “Toward multiple catheters detection in fluoroscopic image guided interventions.” Ieee Transactions on Information Technology in Biomedicine : A Publication of the Ieee Engineering in Medicine and Biology Society 16, no. 4 (July 2012): 770–81. https://doi.org/10.1109/titb.2012.2189407.Full Text
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Ramirez, I., and G. Sapiro. “An MDL framework for sparse coding and dictionary learning.” Ieee Transactions on Signal Processing 60, no. 6 (June 1, 2012): 2913–27. https://doi.org/10.1109/TSP.2012.2187203.Full Text
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Walczak, N., J. Fasching, W. Toczyski, R. Sivalingam, N. Bird, K. Cullen, V. Morellas, B. Murphy, G. Sapiro, and N. Papanikolopoulos. “A nonintrusive system for behavioral analysis of children using multiple RGB+depth sensors.” Proceedings of Ieee Workshop on Applications of Computer Vision, May 11, 2012, 217–22. https://doi.org/10.1109/WACV.2012.6163011.Full Text
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Mahmoudi, Mona, and Guillermo Sapiro. “Sparse representations for range data restoration.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 21, no. 5 (May 2012): 2909–15. https://doi.org/10.1109/tip.2012.2185940.Full Text
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Yu, Guoshen, Guillermo Sapiro, and Stéphane Mallat. “Solving inverse problems with piecewise linear estimators: from Gaussian mixture models to structured sparsity.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 21, no. 5 (May 2012): 2481–99. https://doi.org/10.1109/tip.2011.2176743.Full Text
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Frank, Gabriel A., Alberto Bartesaghi, Oleg Kuybeda, Mario J. Borgnia, Tommi A. White, Guillermo Sapiro, and Sriram Subramaniam. “Computational separation of conformational heterogeneity using cryo-electron tomography and 3D sub-volume averaging.” J Struct Biol 178, no. 2 (May 2012): 165–76. https://doi.org/10.1016/j.jsb.2012.01.004.Full Text Link to Item
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Aganj, Iman, Christophe Lenglet, Essa Yacoub, Guillermo Sapiro, and Noam Harel. “A 3D wavelet fusion approach for the reconstruction of isotropic-resolution MR images from orthogonal anisotropic-resolution scans.” Magnetic Resonance in Medicine 67, no. 4 (April 2012): 1167–72. https://doi.org/10.1002/mrm.23086.Full Text
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Sapiro, Gisèle. “Autonomy Revisited: The Question of Mediations and its Methodological Implications.” Paragraph 35, no. 1 (March 2012): 30–48. https://doi.org/10.3366/para.2012.0040.Full Text
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Xing, Z., M. Zhou, A. Castrodad, G. Sapiro, and L. Carin. “Dictionary learning for noisy and incomplete hyperspectral images.” Siam Journal on Imaging Sciences 5, no. 1 (February 13, 2012): 33–56. https://doi.org/10.1137/110837486.Full Text
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Duarte-Carvajalino, Julio M., Neda Jahanshad, Christophe Lenglet, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson, and Guillermo Sapiro. “Hierarchical topological network analysis of anatomical human brain connectivity and differences related to sex and kinship.” Neuroimage 59, no. 4 (February 2012): 3784–3804. https://doi.org/10.1016/j.neuroimage.2011.10.096.Full Text
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Bronstein, Alexander M., Pablo Sprechmann, and Guillermo Sapiro. “Learning Efficient Structured Sparse Models.” Corr abs/1206.4649 (2012).
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Cetingul, H Ertan, H Ertan Cetingül, Mariappan Nadar, Paul Thompson, Guillermo Sapiro, and Christophe Lenglet. “Simultaneous ODF estimation and tractography in HARDI.” Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference 2012 (January 2012): 86–89. https://doi.org/10.1109/embc.2012.6345877.Full Text
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Duchin, Yuval, Aviva Abosch, Essa Yacoub, Guillermo Sapiro, and Noam Harel. “Feasibility of using ultra-high field (7 T) MRI for clinical surgical targeting.” Plos One 7, no. 5 (January 2012): e37328. https://doi.org/10.1371/journal.pone.0037328.Full Text
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Sivalingam, R., A. Cherian, J. Fasching, N. Walczak, N. Bird, V. Morellas, B. Murphy, et al. “A multi-sensor visual tracking system for behavior monitoring of at-risk children.” Proceedings Ieee International Conference on Robotics and Automation, January 1, 2012, 1345–50. https://doi.org/10.1109/ICRA.2012.6225280.Full Text
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Tong, M., Y. Kim, L. Zhan, G. Sapiro, C. Lenglet, B. A. Mueller, P. M. Thompson, and L. A. Vese. “A VARIATIONAL MODEL FOR DENOISING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING.” Proceedings. Ieee International Symposium on Biomedical Imaging, January 2012, 530–33. https://doi.org/10.1109/isbi.2012.6235602.Full Text
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Zhou, Mingyuan, Haojun Chen, John Paisley, Lu Ren, Lingbo Li, Zhengming Xing, David Dunson, Guillermo Sapiro, and Lawrence Carin. “Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 21, no. 1 (January 2012): 130–44. https://doi.org/10.1109/tip.2011.2160072.Full Text
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Lenglet, Christophe, Aviva Abosch, Essa Yacoub, Federico De Martino, Guillermo Sapiro, and Noam Harel. “Comprehensive in vivo mapping of the human basal ganglia and thalamic connectome in individuals using 7T MRI.” Plos One 7, no. 1 (January 2012): e29153. https://doi.org/10.1371/journal.pone.0029153.Full Text
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Sapiro, Gisele. “ON THE STATE Classes at College d eFrance, 1989-1992.” Quinzaine Litteraire, no. 1061 (2012): 4–4.Link to Item
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Tran, Erin E. H., Mario J. Borgnia, Oleg Kuybeda, David M. Schauder, Alberto Bartesaghi, Gabriel A. Frank, Guillermo Sapiro, Jacqueline L. S. Milne, and Sriram Subramaniam. “Structural mechanism of trimeric HIV-1 envelope glycoprotein activation.” Plos Pathog 8, no. 7 (2012): e1002797. https://doi.org/10.1371/journal.ppat.1002797.Full Text Link to Item
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Duarte-Carvajalino, Julio, Guillermo Sapiro, Guoshen Yu, and Lawrence Carin. “Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models,” December 26, 2011.Link to Item
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Bar, L., and G. Sapiro. “Hierarchical invariant sparse modeling for image analysis.” Proceedings International Conference on Image Processing, Icip, December 1, 2011, 2397–2400. https://doi.org/10.1109/ICIP.2011.6116125.Full Text
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Yu, G., and G. Sapiro. “Statistical compressed sensing of Gaussian mixture models.” Ieee Transactions on Signal Processing 59, no. 12 (December 1, 2011): 5842–58. https://doi.org/10.1109/TSP.2011.2168521.Full Text
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Zhou, M., L. Carin, H. Yang, D. Dunson, and G. Sapiro. “Dependent hierarchical beta process for image interpolation and denoising.” Journal of Machine Learning Research 15 (December 1, 2011): 883–91.
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Caruyer, E., I. Aganj, C. Lenglet, G. Sapiro, and R. Deriche. “Online motion detection in high angular resolution diffusion imaging.” Proceedings International Symposium on Biomedical Imaging, November 2, 2011, 516–19. https://doi.org/10.1109/ISBI.2011.5872458.Full Text
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Jahanshad, N., I. Aganj, C. Lenglet, A. Joshi, Y. Jin, M. Barysheva, K. L. McMahon, et al. “Sex differences in the human connectome: 4-Tesla high angular resolution diffusion imaging (HARDI) tractography in 234 young adult twins.” Proceedings International Symposium on Biomedical Imaging, November 2, 2011, 939–43. https://doi.org/10.1109/ISBI.2011.5872558.Full Text
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Jin, Y., Y. Shi, N. Jahanshad, I. Aganj, G. Sapiro, A. W. Toga, and P. M. Thompson. “3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering.” Proceedings International Symposium on Biomedical Imaging, November 2, 2011, 822–26. https://doi.org/10.1109/ISBI.2011.5872531.Full Text
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Zhan, L., A. D. Leow, I. Aganj, C. Lenglet, G. Sapiro, E. Yacoub, N. Harel, A. W. Toga, and P. M. Thompson. “Differential information content in staggered multiple shell hardi measured by the tensor distribution function.” Proceedings International Symposium on Biomedical Imaging, November 2, 2011, 305–9. https://doi.org/10.1109/ISBI.2011.5872411.Full Text
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Castrodad, A., Z. Xing, J. B. Greer, E. Bosch, L. Carin, and G. Sapiro. “Learning discriminative sparse representations for modeling, source separation, and mapping of hyperspectral imagery.” Ieee Transactions on Geoscience and Remote Sensing 49, no. 11 PART 1 (November 1, 2011): 4263–81. https://doi.org/10.1109/TGRS.2011.2163822.Full Text
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Sapiro, Guillermo. “Comparing shapes, understanding evolution.” Proceedings of the National Academy of Sciences of the United States of America 108, no. 45 (November 2011): 18189–90. https://doi.org/10.1073/pnas.1114928108.Full Text
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Chen, B., G. Polatkan, G. Sapiro, D. B. Dunson, and L. Carin. “The hierarchical beta process for convolutional factor analysis and deep learning.” Proceedings of the 28th International Conference on Machine Learning, Icml 2011, October 7, 2011, 361–68.
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Li, L., M. Zhou, G. Sapiro, and L. Carin. “On the integration of topic modeling and dictionary learning.” Proceedings of the 28th International Conference on Machine Learning, Icml 2011, October 7, 2011, 625–32.
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Yatziv, Liron, Julian Ibarz, Norbert Strobel, Saurabh Datta, and Guillermo Sapiro. “Esophagus silhouette extraction and reconstruction from fluoroscopic views for cardiac ablation procedure guidance.” Ieee Transactions on Information Technology in Biomedicine : A Publication of the Ieee Engineering in Medicine and Biology Society 15, no. 5 (September 2011): 703–8. https://doi.org/10.1109/titb.2011.2162247.Full Text
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Sprechmann, P., I. Ramírez, G. Sapiro, and Y. C. Eldar. “C-HiLasso: A collaborative hierarchical sparse modeling framework.” Ieee Transactions on Signal Processing 59, no. 9 (September 1, 2011): 4183–98. https://doi.org/10.1109/TSP.2011.2157912.Full Text
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Léger, F., G. Yu, and G. Sapiro. “Efficient matrix completion with Gaussian models.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, August 18, 2011, 1113–16. https://doi.org/10.1109/ICASSP.2011.5946603.Full Text
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Ramírez, I., and G. Sapiro. “Sparse coding and dictionary learning based on the MDL principle.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, August 18, 2011, 2160–63. https://doi.org/10.1109/ICASSP.2011.5946755.Full Text
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Sprechmann, P., I. Ramirez, P. Cancela, and G. Sapiro. “Collaborative sources identification in mixed signals via hierarchical sparse modeling.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, August 18, 2011, 5816–19. https://doi.org/10.1109/ICASSP.2011.5947683.Full Text
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Yu, G., and G. Sapiro. “Statistical compressive sensing of Gaussian mixture models.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, August 18, 2011, 3728–31. https://doi.org/10.1109/ICASSP.2011.5947161.Full Text
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Zhou, M., H. Yang, G. Sapiro, D. Dunson, and L. Carin. “Covariate-dependent dictionary learning and sparse coding.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, August 18, 2011, 5824–27. https://doi.org/10.1109/ICASSP.2011.5947685.Full Text
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Aganj, Iman, Christophe Lenglet, Neda Jahanshad, Essa Yacoub, Noam Harel, Paul M. Thompson, and Guillermo Sapiro. “A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography.” Medical Image Analysis 15, no. 4 (August 2011): 414–25. https://doi.org/10.1016/j.media.2011.01.003.Full Text
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Arias, P., G. Facciolo, V. Caselles, and G. Sapiro. “A variational framework for exemplar-based image inpainting.” International Journal of Computer Vision 93, no. 3 (July 1, 2011): 319–47. https://doi.org/10.1007/s11263-010-0418-7.Full Text
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Wirth, B., L. Bar, M. Rumpf, and G. Sapiro. “A continuum mechanical approach to geodesics in shape space.” International Journal of Computer Vision 93, no. 3 (July 1, 2011): 293–318. https://doi.org/10.1007/s11263-010-0416-9.Full Text
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Sapiro, G. “Technical perspective: Images everywhere looking for models.” Communications of the Acm 54, no. 5 (May 1, 2011): 108. https://doi.org/10.1145/1941487.1941512.Full Text
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Prasad, Gautam, Neda Jahanshad, Iman Aganj, Christophe Lenglet, Guillermo Sapiro, Arthur W. Toga, and Paul M. Thompson. “ATLAS-BASED FIBER CLUSTERING FOR MULTI-SUBJECT ANALYSIS OF HIGH ANGULAR RESOLUTION DIFFUSION IMAGING TRACTOGRAPHY.” Proceedings. Ieee International Symposium on Biomedical Imaging 2011 (April 2011): 276–80. https://doi.org/10.1109/isbi.2011.5872405.Full Text
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Silva, Jorge, Minhua Chen, Yonina C. Eldar, Guillermo Sapiro, and Lawrence Carin. “Blind Compressed Sensing Over a Structured Union of Subspaces,” March 12, 2011.Link to Item
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Carin, Lawrence, Richard G. Baraniuk, Volkan Cevher, David Dunson, Michael I. Jordan, Guillermo Sapiro, and Michael B. Wakin. “Learning Low-Dimensional Signal Models: A Bayesian approach based on incomplete measurements.” Ieee Signal Processing Magazine 28, no. 2 (March 2011). https://doi.org/10.1109/msp.2010.939733.Full Text
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Ma, Y., P. Niyogi, G. Sapiro, and R. Vidal. “Dimensionality reduction via subspace and submanifold learning.” Ieee Signal Processing Magazine 28, no. 2 (January 1, 2011). https://doi.org/10.1109/MSP.2010.940005.Full Text
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Sapiro, Gisela. “Merchants of Culture. The Publishing Business in the Twenty-First Century.” Actes De La Recherche En Sciences Sociales, no. 186–87 (2011): 132–35.Link to Item
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Sapiro, Gisele. “WHAT IS A FRENCH PHILOSOPHER? The social life of concepts (1880-1980).” Quinzaine Litteraire, no. 1034 (2011): 21–21.Link to Item
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Sapiro, Gisele. “Should we choose to explain and understand? The interpretation of human actions.” Quinzaine Litteraire, no. 1043 (2011): 28–28.Link to Item
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Yu, Guoshen, and Guillermo Sapiro. “Statistical Compressed Sensing of Gaussian Mixture Models.” Ieee Trans. Signal Process. 59 (2011): 5842–58. https://doi.org/10.1109/TSP.2011.2168521.Full Text
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Castrodad, A., Z. Xing, J. Greer, E. Bosch, L. Carin, and G. Sapiro. “Discriminative sparse representations in hyperspectral imagery.” Proceedings International Conference on Image Processing, Icip, December 1, 2010, 1313–16. https://doi.org/10.1109/ICIP.2010.5651568.Full Text
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Paisley, J., M. Zhou, G. Sapiro, and L. Carin. “Nonparametric image interpolation and dictionary learning using spatially-dependent dirichlet and beta process priors.” Proceedings International Conference on Image Processing, Icip, December 1, 2010, 1869–72. https://doi.org/10.1109/ICIP.2010.5653350.Full Text
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Yu, G., G. Sapiro, and S. Mallat. “Image modeling and enhancement via structured sparse model selection.” Proceedings International Conference on Image Processing, Icip, December 1, 2010, 1641–44. https://doi.org/10.1109/ICIP.2010.5653853.Full Text
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Bugeau, Aurélie, Marcelo Bertalmío, Vicent Caselles, and Guillermo Sapiro. “A comprehensive framework for image inpainting.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 19, no. 10 (October 2010): 2634–45. https://doi.org/10.1109/tip.2010.2049240.Full Text
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Bronstein, A. M., M. M. Bronstein, R. Kimmel, M. Mahmoudi, and G. Sapiro. “A gromov-hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching.” International Journal of Computer Vision 89, no. 2–3 (September 1, 2010): 266–86. https://doi.org/10.1007/s11263-009-0301-6.Full Text
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Ramirez, I., P. Sprechmann, and G. Sapiro. “Classification and clustering via dictionary learning with structured incoherence and shared features.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, August 31, 2010, 3501–8. https://doi.org/10.1109/CVPR.2010.5539964.Full Text
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Caruyer, E., I. Aganj, R. L. Muetzel, C. Lenglet, G. Sapiro, and R. Deriche. “Online orientation distribution function reconstrugtion in constant solid angle and its application to motion detection in HARDI.” 2010 7th Ieee International Symposium on Biomedical Imaging: From Nano to Macro, Isbi 2010 Proceedings, August 9, 2010, 812–15. https://doi.org/10.1109/ISBI.2010.5490052.Full Text
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Aganj, Iman, Christophe Lenglet, Guillermo Sapiro, Essa Yacoub, Kamil Ugurbil, and Noam Harel. “Reconstruction of the orientation distribution function in single- and multiple-shell q-ball imaging within constant solid angle.” Magnetic Resonance in Medicine 64, no. 2 (August 2010): 554–66. https://doi.org/10.1002/mrm.22365.Full Text
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Sapiro, Gisèle. “Globalization and cultural diversity in the book market: The case of literary translations in the US and in France.” Poetics 38, no. 4 (August 2010): 419–39. https://doi.org/10.1016/j.poetic.2010.05.001.Full Text
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Sprechmann, P., I. Ramirez, G. Sapiro, and Y. Eldar. “Collaborative hierarchical sparse modeling.” 2010 44th Annual Conference on Information Sciences and Systems, Ciss 2010, June 24, 2010. https://doi.org/10.1109/CISS.2010.5464845.Full Text
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Lecumberry, Federico, Alvaro Pardo, and Guillermo Sapiro. “Simultaneous object classification and segmentation with high-order multiple shape models.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 19, no. 3 (March 2010): 625–35. https://doi.org/10.1109/tip.2009.2038759.Full Text
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Mairal, J., F. Bach, J. Ponce, and G. Sapiro. “Online learning for matrix factorization and sparse coding.” Journal of Machine Learning Research 11 (February 22, 2010): 19–60.
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White, Tonya, Shu Su, Marcus Schmidt, Chiu-Yen Kao, and Guillermo Sapiro. “The development of gyrification in childhood and adolescence.” Brain and Cognition 72, no. 1 (February 2010): 36–45. https://doi.org/10.1016/j.bandc.2009.10.009.Full Text
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Aganj, Iman, Christophe Lenglet, and Guillermo Sapiro. “ODF maxima extraction in spherical harmonic representation via analytical search space reduction.” Medical Image Computing and Computer Assisted Intervention : Miccai ... International Conference on Medical Image Computing and Computer Assisted Intervention 13, no. Pt 2 (January 2010): 84–91. https://doi.org/10.1007/978-3-642-15745-5_11.Full Text
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Bai, X., J. Wang, and G. Sapiro. “Dynamic color flow: A motion-adaptive color model for object segmentation in video.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6315 LNCS, no. PART 5 (January 1, 2010): 617–30. https://doi.org/10.1007/978-3-642-15555-0_45.Full Text
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Fiori, Marcelo, Pablo Musé, Sergio Aguirre, and Guillermo Sapiro. “Automatic colon polyp flagging via geometric and texture features.” Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference 2010 (January 2010): 3170–73. https://doi.org/10.1109/iembs.2010.5627185.Full Text
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Mairal, Julien, Francis R. Bach, Jean Ponce, and Guillermo Sapiro. “Online Learning for Matrix Factorization and Sparse Coding.” J. Mach. Learn. Res. 11 (2010): 19–60.
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Passalacqua, P., T. D. Trung, E. Foufoula-Georgiou, G. Sapiro, and W. E. Dietrich. “A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths.” Journal of Geophysical Research: Earth Surface 115, no. 1 (2010).
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Passalacqua, P., T. Do Trung, E. Foufoula-Georgiou, G. Sapiro, and W. E. Dietrich. “A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths.” Journal of Geophysical Research: Earth Surface 115, no. 1 (January 1, 2010).
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Ramírez, Ignacio, and Guillermo Sapiro. “Universal Sparse Modeling.” Corr abs/1003.2941 (2010).
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Ramírez, Ignacio, and Guillermo Sapiro. “Sparse coding and dictionary learning based on the MDL principle.” Corr abs/1010.4751 (2010).
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Wright, J., Y. Ma, J. Mairal, G. Sapiro, T. S. Huang, and S. Yan. “Sparse representation for computer vision and pattern recognition.” Proceedings of the Ieee 98, no. 6 (January 1, 2010): 1031–44. https://doi.org/10.1109/JPROC.2010.2044470.Full Text
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Bar, L., and G. Sapiro. “Hierarchical dictionary learning for invariant classification.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, January 1, 2010, 3578–81. https://doi.org/10.1109/ICASSP.2010.5495916.Full Text
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Sapiro, Gisele, George Steinmetz, and Claire Ducournau. “The production of colonial and post-colonial representations.” Actes De La Recherche En Sciences Sociales, no. 185 (2010): 4–11.Link to Item
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Sapiro, Gisele, and Yoram Kaniuk. “THE LAST JEW.” Quinzaine Litteraire, no. 1008 (2010): 12–13.Link to Item
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Sapiro, Gisele. “Punish the violence of words: the French intellectual process at the end of World War II.” Esprit Createur 50, no. 4 (2010): 4–19.Link to Item
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Sapiro, Guillermo. “Special Section on Optimization in Imaging Sciences.” Siam Journal on Imaging Sciences 3, no. 4 (January 2010): 1047–1047. https://doi.org/10.1137/sjisbi000003000004001047000001.Full Text
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Sprechmann, P., and G. Sapiro. “Dictionary learning and sparse coding for unsupervised clustering.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, January 1, 2010, 2042–45. https://doi.org/10.1109/ICASSP.2010.5494985.Full Text
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Steinmetz, George, Gisele Sapiro, and Georges Balandier. “All scientific careers have autobiographical moments.” Actes De La Recherche En Sciences Sociales, no. 185 (2010): 44–61.Link to Item
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Szlam, A., and G. Sapiro. “Discriminative k-metrics.” Proceedings of the 26th International Conference on Machine Learning, Icml 2009, December 9, 2009, 1009–16.
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Mairal, J., F. Bach, J. Ponce, G. Sapiro, and A. Zisserman. “Non-local sparse models for image restoration.” Proceedings of the Ieee International Conference on Computer Vision, December 1, 2009, 2272–79. https://doi.org/10.1109/ICCV.2009.5459452.Full Text
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Mairal, J., F. Bach, J. Ponce, G. Sapiro, and A. Zisserman. “Supervised dictionary learning.” Advances in Neural Information Processing Systems 21 Proceedings of the 2008 Conference, December 1, 2009, 1033–40.
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Raḿrez, I., F. Lecumberry, and G. Sapiro. “Universal priors for sparse modeling.” Camsap 2009 2009 3rd Ieee International Workshop on Computational Advances in Multi Sensor Adaptive Processing, December 1, 2009, 197–200. https://doi.org/10.1109/CAMSAP.2009.5413302.Full Text
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Zhou, M., H. Chen, J. Paisley, L. Ren, G. Sapiro, and L. Carin. “Non-parametric Bayesian dictionary learning for sparse image representations.” Advances in Neural Information Processing Systems 22 Proceedings of the 2009 Conference, December 1, 2009, 2295–2303.
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Szlam, A., and G. Sapiro. “Discriminative k metrics and the Chan-Vese model for object detection and segmentation.” Proceedings of Spie the International Society for Optical Engineering 7446 (November 19, 2009). https://doi.org/10.1117/12.825800.Full Text
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Arias, P., V. Caselles, and G. Sapiro. “A variational framework for non-local image inpainting.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5681 LNCS (November 6, 2009): 345–58. https://doi.org/10.1007/978-3-642-03641-5_26.Full Text
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Facciolo, G., P. Arias, V. Caselles, and G. Sapiro. “Exemplar-based interpolation of sparsely sampled images.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5681 LNCS (November 6, 2009): 331–44. https://doi.org/10.1007/978-3-642-03641-5_25.Full Text
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Wirth, B., L. Bar, M. Rumpf, and G. Sapiro. “Geodesics in shape space via variational time discretization.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5681 LNCS (November 6, 2009): 288–302. https://doi.org/10.1007/978-3-642-03641-5_22.Full Text
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Aganj, Iman, Guillermo Sapiro, Neelroop Parikshak, Sarah K. Madsen, and Paul M. Thompson. “Measurement of cortical thickness from MRI by minimum line integrals on soft-classified tissue.” Human Brain Mapping 30, no. 10 (October 2009): 3188–99. https://doi.org/10.1002/hbm.20740.Full Text
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Mairal, J., F. Bach, J. Ponce, and G. Sapiro. “Online dictionary learning for sparse coding.” Acm International Conference Proceeding Series 382 (September 15, 2009). https://doi.org/10.1145/1553374.1553463.Full Text
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Szlam, A., and G. Sapiro. “Discriminative k-metrics.” Acm International Conference Proceeding Series 382 (September 15, 2009). https://doi.org/10.1145/1553374.1553503.Full Text
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Sapiro, Gisèle. “Un héritage symbolique détourné ? La nouvelle revue française des années noires1.” Études Littéraires 40, no. 1 (September 1, 2009): 97–117. https://doi.org/10.7202/037901ar.Full Text
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Sundaramoorthi, G., A. Yezzi, A. C. Mennucci, and G. Sapiro. “New possibilities with Sobolev active contours.” International Journal of Computer Vision 84, no. 2 (August 1, 2009): 113–29. https://doi.org/10.1007/s11263-008-0133-9.Full Text
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Bai, X., J. Wang, D. Simons, and G. Sapiro. “Video SnapCut: Robust video object cutout using localized classifiers.” Acm Transactions on Graphics 28, no. 3 (July 27, 2009). https://doi.org/10.1145/1531326.1531376.Full Text
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Duarte-Carvajalino, Julio Martin, and Guillermo Sapiro. “Learning to sense sparse signals: simultaneous sensing matrix and sparsifying dictionary optimization.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 18, no. 7 (July 2009): 1395–1408. https://doi.org/10.1109/tip.2009.2022459.Full Text
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Aganj, Iman, Christophe Lenglet, and Guillermo Sapiro. “ODF RECONSTRUCTION IN Q-BALL IMAGING WITH SOLID ANGLE CONSIDERATION.” Proceedings. Ieee International Symposium on Biomedical Imaging 2009 (June 2009): 1398–1401. https://doi.org/10.1109/isbi.2009.5193327.Full Text
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Jahanshad, Neda, Agatha D. Lee, Natasha Lepore, Yi-Yu Chou, Caroline Brun, Marina Barysheva, Arthur W. Toga, et al. “REDUCING STRUCTURAL VARIATION TO DETERMINE THE GENETICS OF WHITE MATTER INTEGRITY ACROSS HEMISPHERES - A DTI STUDY OF 100 TWINS.” Proceedings. Ieee International Symposium on Biomedical Imaging 2009 (June 2009): 819–22. https://doi.org/10.1109/isbi.2009.5193175.Full Text
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Bai, X., and G. Sapiro. “Geodesic matting: A framework for fast interactive image and video segmentation and matting.” International Journal of Computer Vision 82, no. 2 (April 1, 2009): 113–32. https://doi.org/10.1007/s11263-008-0191-z.Full Text
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Lenglet, C., J. S. W. Campbell, M. Descoteaux, G. Haro, P. Savadjiev, D. Wassermann, A. Anwander, et al. “Mathematical methods for diffusion MRI processing.” Neuroimage 45, no. 1 Suppl (March 2009): S111–22. https://doi.org/10.1016/j.neuroimage.2008.10.054.Full Text
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Pollick, Frank E., Uri Maoz, Amir A. Handzel, Peter J. Giblin, Guillermo Sapiro, and Tamar Flash. “Three-dimensional arm movements at constant equi-affine speed.” Cortex; a Journal Devoted to the Study of the Nervous System and Behavior 45, no. 3 (March 2009): 325–39. https://doi.org/10.1016/j.cortex.2008.03.010.Full Text
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Ivry, Tor, Shahar Michal, Assaf Avihoo, Guillermo Sapiro, and Danny Barash. “An image processing approach to computing distances between RNA secondary structures dot plots.” Algorithms for Molecular Biology : Amb 4 (February 2009): 4. https://doi.org/10.1186/1748-7188-4-4.Full Text
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Aganj, Iman, Christophe Lenglet, Guillermo Sapiro, Essa Yacoub, Kamil Ugurbil, and Noam Harel. “Multiple Q-shell ODF reconstruction in Q-ball imaging.” Medical Image Computing and Computer Assisted Intervention : Miccai ... International Conference on Medical Image Computing and Computer Assisted Intervention 12, no. Pt 2 (January 2009): 423–31. https://doi.org/10.1007/978-3-642-04271-3_52.Full Text
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Bar, L., and G. Sapiro. “Generalized newton-type methods for energy formulations in image processing.” Siam Journal on Imaging Sciences 2, no. 2 (January 1, 2009): 508–31. https://doi.org/10.1137/080722436.Full Text
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Castrodad, A., I. Ramirez, G. Sapiro, P. Sprechmann, and G. Yu. “Second-generation sparse modeling: Structured and collaborative signal analysis,” January 1, 2009, 65–87. https://doi.org/10.1017/CBO9780511794308.003.Full Text
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Lecumberry, F., A. Pardo, and G. Sapiro. “Multiple shape models for simultaneous object classification and segmentation.” Proceedings International Conference on Image Processing, Icip, January 1, 2009, 3001–4. https://doi.org/10.1109/ICIP.2009.5414596.Full Text
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Mahmoudi, M., and G. Sapiro. “Three-dimensional point cloud recognition via distributions of geometric distances.” Graphical Models 71, no. 1 (January 1, 2009): 22–31. https://doi.org/10.1016/j.gmod.2008.10.002.Full Text
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Mairal, J., F. Bach, J. Ponce, and G. Sapiro. “Online dictionary learning for sparse coding.” Proceedings of the 26th International Conference on Machine Learning, Icml 2009, January 1, 2009, 689–96.
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Matonti, Frederique, and Gisele Sapiro. “The commitment of intellectuals: new viewpoints.” Actes De La Recherche En Sciences Sociales, no. 176–77 (2009): 4–7.Link to Item
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Sapiro, Gisele. “Intellectuals and politics: A Typology.” Actes De La Recherche En Sciences Sociales, no. 176–77 (2009): 8-+.Link to Item
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Bar, L., and G. Sapiro. “Generalized newton methods for energy formulations in image processing.” Proceedings International Conference on Image Processing, Icip, December 1, 2008, 809–12. https://doi.org/10.1109/ICIP.2008.4711878.Full Text
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Haro, G., G. Randall, and G. Sapiro. “Translated poisson mixture model for stratification learning.” International Journal of Computer Vision 80, no. 3 (December 1, 2008): 358–74. https://doi.org/10.1007/s11263-008-0144-6.Full Text
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Narasimha, Rajesh, Iman Aganj, Adam E. Bennett, Mario J. Borgnia, Daniel Zabransky, Guillermo Sapiro, Steven W. McLaughlin, Jacqueline L. S. Milne, and Sriram Subramaniam. “Evaluation of denoising algorithms for biological electron tomography.” J Struct Biol 164, no. 1 (October 2008): 7–17. https://doi.org/10.1016/j.jsb.2008.04.006.Full Text Link to Item
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Mairal, J., F. Bach, J. Ponce, G. Sapiro, and A. Zisserman. “Discriminative learned dictionaries for local image analysis.” 26th Ieee Conference on Computer Vision and Pattern Recognition, Cvpr, September 23, 2008. https://doi.org/10.1109/CVPR.2008.4587652.Full Text
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Mahmoudi, M., and G. Sapiro. “Three-dimensional point cloud recognition via distributions of geometric distances.” 2008 Ieee Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Cvpr Workshops, September 22, 2008. https://doi.org/10.1109/CVPRW.2008.4563031.Full Text
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Rother, D., K. Patwardhan, I. Aganj, and G. Sapiro. “3D priors for scene learning from a single view.” 2008 Ieee Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Cvpr Workshops, September 22, 2008. https://doi.org/10.1109/CVPRW.2008.4563034.Full Text
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Rother, D., L. Williams, and G. Sapiro. “Super-resolution texturing for online virtual globes.” 2008 Ieee Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Cvpr Workshops, September 22, 2008. https://doi.org/10.1109/CVPRW.2008.4562961.Full Text
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Aganj, I., G. Sapiro, N. Parikshak, S. K. Madsen, and P. M. Thompson. “Segmentation-free measurement of cortical thickness from MRI.” 2008 5th Ieee International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, Isbi, September 10, 2008, 1625–28. https://doi.org/10.1109/ISBI.2008.4541324.Full Text
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Haro, G., C. Lenglet, G. Sapiro, and P. Thompson. “On the non-uniform complexity of brain connectivity.” 2008 5th Ieee International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, Isbi, September 10, 2008, 887–90. https://doi.org/10.1109/ISBI.2008.4541139.Full Text
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Liao, H. Y., and G. Sapiro. “Sparse representations for limited data tomography.” 2008 5th Ieee International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, Isbi, September 10, 2008, 1375–78. https://doi.org/10.1109/ISBI.2008.4541261.Full Text
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Liu, Jun, Alberto Bartesaghi, Mario J. Borgnia, Guillermo Sapiro, and Sriram Subramaniam. “Molecular architecture of native HIV-1 gp120 trimers.” Nature 455, no. 7209 (September 4, 2008): 109–13. https://doi.org/10.1038/nature07159.Full Text Link to Item
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Caselles, V., G. Haro, G. Sapiro, and J. Verdera. “On geometric variational models for inpainting surface holes.” Computer Vision and Image Understanding 111, no. 3 (September 1, 2008): 351–73. https://doi.org/10.1016/j.cviu.2008.01.002.Full Text
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Duarte-Carvajalino, J. M., G. Sapiro, M. Vélez-Reyesvelez-Reyes, and P. E. Castillo. “Multiscale representation and segmentation of hyperspectral imagery using geometric partial differential equations and algebraic multigrid methods.” Ieee Transactions on Geoscience and Remote Sensing 46, no. 8 (August 1, 2008): 2418–34. https://doi.org/10.1109/TGRS.2008.916478.Full Text
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Sapiro, Gisèle. “Translation and the field of publishing.” Translation Studies 1, no. 2 (July 2008): 154–66. https://doi.org/10.1080/14781700802113473.Full Text
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Duarte-Carvajalino, J. M., G. Sapiro, and M. Velez-Reyes. “Unsupervised spectral-spatial classification of hyperspectral imagery using real and complex features and generalized histograms.” Proceedings of Spie the International Society for Optical Engineering 6966 (June 17, 2008). https://doi.org/10.1117/12.779142.Full Text
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Liu, J., A. Bartesaghi, M. J. Borgnia, G. Sapiro, and S. Subramaniam. “Molecular Architecture of Native HIV-1 gp 120 Trimers.” Chemtracts 21, no. 6 (June 1, 2008): 227–28.
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Bartesaghi, A., P. Sprechmann, J. Liu, G. Randall, G. Sapiro, and S. Subramaniam. “Classification and 3D averaging with missing wedge correction in biological electron tomography.” Journal of Structural Biology 162, no. 3 (June 2008): 436–50. https://doi.org/10.1016/j.jsb.2008.02.008.Full Text
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Singh, Gurjeet, Facundo Memoli, Tigran Ishkhanov, Guillermo Sapiro, Gunnar Carlsson, and Dario L. Ringach. “Topological analysis of population activity in visual cortex.” Journal of Vision 8, no. 8 (June 2008): 11.1-1118. https://doi.org/10.1167/8.8.11.Full Text
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Patwardhan, Kedar A., Guillermo Sapiro, and Vassilios Morellas. “Robust foreground detection in video using pixel layers.” Ieee Transactions on Pattern Analysis and Machine Intelligence 30, no. 4 (April 2008): 746–51. https://doi.org/10.1109/tpami.2007.70843.Full Text
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Mairal, J., G. Sapiro, and M. Elad. “Learning multiscale sparse representations for image and video restoration.” Multiscale Modeling and Simulation 7, no. 1 (January 1, 2008): 214–41. https://doi.org/10.1137/070697653.Full Text
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Mairal, Julien, Michael Elad, and Guillermo Sapiro. “Sparse representation for color image restoration.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 17, no. 1 (January 2008): 53–69. https://doi.org/10.1109/tip.2007.911828.Full Text
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Rother, Diego, Guillermo Sapiro, and Vijay Pande. “Statistical characterization of protein ensembles.” Ieee/Acm Transactions on Computational Biology and Bioinformatics 5, no. 1 (January 2008): 42–55. https://doi.org/10.1109/tcbb.2007.1061.Full Text
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Rother, Diego, Guillermo Sapiro, and Vijay Pande. “Statistical Characterization of Protein Ensembles.” Ieee Acm Trans. Comput. Biol. Bioinform. 5 (2008): 42–55. https://doi.org/10.1145/1343571.1343575.Full Text
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Sapiro, Guillermo. “Message from the Editor-in-Chief.” Siam Journal on Imaging Sciences 1, no. 1 (January 2008): 1–1. https://doi.org/10.1137/sjisbi000001000001000001000001.Full Text
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Bai, X., and G. Sapiro. “A geodesic framework for fast interactive image and video segmentation and matting.” Proceedings of the Ieee International Conference on Computer Vision, December 1, 2007. https://doi.org/10.1109/ICCV.2007.4408931.Full Text
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Bar, L., M. Rumpf, B. Berkels, and G. Sapiro. “A variational framework for simultaneous motion estimation and restoration of motion-blurred video.” Proceedings of the Ieee International Conference on Computer Vision, December 1, 2007. https://doi.org/10.1109/ICCV.2007.4409009.Full Text
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Haro, G., G. Randall, and G. Sapiro. “Stratification learning: Detecting mixed density and dimensionality in high dimensional point clouds.” Advances in Neural Information Processing Systems, December 1, 2007, 553–60.
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Rother, D., K. A. Patwardhan, and G. Sapiro. “What can casual walkers tell us about a 3D scene?” Proceedings of the Ieee International Conference on Computer Vision, December 1, 2007. https://doi.org/10.1109/ICCV.2007.4409083.Full Text
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Narasimha, R., I. Aganj, M. Borgnia, G. Sapiro, S. McLaughlin, J. Milne, and S. Subramaniam. “From gigabytes to bytes: Automated denoising and feature identification in electron tomograms of intact bacterial cells.” 2007 4th Ieee International Symposium on Biomedical Imaging: From Nano to Macro Proceedings, November 27, 2007, 304–7. https://doi.org/10.1109/ISBI.2007.356849.Full Text
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Aganj, I., A. Bartesaghi, M. Borgnia, H. Y. Liao, G. Sapiro, and S. Subramaniam. “Regularization for inverting the radon transform with wedge consideration.” 2007 4th Ieee International Symposium on Biomedical Imaging: From Nano to Macro Proceedings, November 27, 2007, 217–20. https://doi.org/10.1109/ISBI.2007.356827.Full Text
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Bartesaghi, A., P. Sprechmann, G. Randall, G. Sapiro, and S. Subramaniam. “Classification, averaging and reconstruction of macromolecules in electron tomography.” 2007 4th Ieee International Symposium on Biomedical Imaging: From Nano to Macro Proceedings, November 27, 2007, 244–47. https://doi.org/10.1109/ISBI.2007.356834.Full Text
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Duarte-Carvajalino, J. M., G. Sapiro, M. Vélez-Reyes, and P. Castillo. “Fast multi-scale regularization and segmentation of hyperspectral imagery via anisotropic diffusion and Algebraic Multigrid solvers.” Proceedings of Spie the International Society for Optical Engineering 6565 (November 15, 2007). https://doi.org/10.1117/12.721036.Full Text
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Arias, P., G. Randall, and G. Sapiro. “Connecting the out-of-sample and pre-image problems in Kernel methods.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, October 11, 2007. https://doi.org/10.1109/CVPR.2007.383038.Full Text
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Haro, G., G. Randall, and G. Sapiro. “Regularized mixed dimensionality and density learning in computer vision.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, October 11, 2007. https://doi.org/10.1109/CVPR.2007.383401.Full Text
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Moenning, C., F. Mémoli, G. Sapiro, N. Dyn, and N. A. Dodgson. “Meshless geometric subdivision.” Graphical Models 69, no. 3–4 (May 1, 2007): 160–79. https://doi.org/10.1016/j.gmod.2006.11.001.Full Text
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Kao, Chiu-Yen, Michael Hofer, Guillermo Sapiro, Josh Stem, Kelly Rehm, and David A. Rottenberg. “A geometric method for automatic extraction of sulcal fundi.” Ieee Transactions on Medical Imaging 26, no. 4 (April 2007): 530–40. https://doi.org/10.1109/tmi.2006.886810.Full Text
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Mohan, A., G. Sapiro, and E. Bosch. “Spatially coherent nonlinear dimensionality reduction and segmentation of hyperspectral images.” Ieee Geoscience and Remote Sensing Letters 4, no. 2 (April 1, 2007): 206–10. https://doi.org/10.1109/LGRS.2006.888105.Full Text
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Protiere, Alexis, and Guillermo Sapiro. “Interactive image segmentation via adaptive weighted distances.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 16, no. 4 (April 2007): 1046–57. https://doi.org/10.1109/tip.2007.891796.Full Text
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Patwardhan, Kedar A., Guillermo Sapiro, and Marcelo Bertalmío. “Video inpainting under constrained camera motion.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 16, no. 2 (February 2007): 545–53. https://doi.org/10.1109/tip.2006.888343.Full Text
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Patwardhan, K. A., G. Sapiro, and V. Morellas. “A graph-based foreground representation and its application in example based people matching in video.” Proceedings International Conference on Image Processing, Icip 5 (January 1, 2007). https://doi.org/10.1109/ICIP.2007.4379759.Full Text
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Sundaramoorthi, G., A. Yezzi, A. C. Mennucci, and G. Sapiro. “New possibilities with Sobolev active contours.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4485 LNCS (January 1, 2007): 153–64. https://doi.org/10.1007/978-3-540-72823-8_14.Full Text
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Xue, B., and S. Guillermo. “Distancecut: Interactive segmentation and matting of images and videos.” Proceedings International Conference on Image Processing, Icip 2 (January 1, 2007): 249–52. https://doi.org/10.1109/ICIP.2007.4379139.Full Text
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Sapiro, Gisele. “The ideology of the donation.” Actes De La Recherche En Sciences Sociales, no. 168 (2007): 31–33.Link to Item
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Sapiro, Gisele. “The artistic vocation between donation and self-donation.” Actes De La Recherche En Sciences Sociales, no. 168 (2007): 4–11.Link to Item
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Sapiro, Gisele. “I never learned to write - The paths of creation.” Actes De La Recherche En Sciences Sociales, no. 168 (2007): 12-+.Link to Item
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Bertalmío, M., V. Caselles, G. Haro, and G. Sapiro. “PDE-based image and surface inpainting,” December 1, 2006, 33–61. https://doi.org/10.1007/0-387-28831-7_3.Full Text
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Hofer, M., G. Sapiro, and J. Wallner. “Fair polyline networks for constrained smoothing of digital terrain elevation data.” Ieee Transactions on Geoscience and Remote Sensing 44, no. 10 (December 1, 2006): 2983–90. https://doi.org/10.1109/TGRS.2006.875451.Full Text
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Mairal, J., G. Sapiro, and M. Elad. “Multiscale sparse image representation with learned dictionaries.” Proceedings International Conference on Image Processing, Icip 3 (December 1, 2006). https://doi.org/10.1109/ICIP.2007.4379257.Full Text
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Kao, C. Y., M. Hofer, G. Sapiro, J. Stern, and D. A. Rottenberg. “A geometric method for automatic extraction of sulcal fundi.” 2006 3rd Ieee International Symposium on Biomedical Imaging: From Nano to Macro Proceedings 2006 (November 17, 2006): 1168–71.
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Sapiro, G. “JANE F. FULCHER. The Composer as Intellectual: Music and Ideology in France 1914-1940. New York: Oxford University Press. 2005. Pp. xiv, 473. $74.00.” The American Historical Review 111, no. 4 (October 1, 2006): 1261–62. https://doi.org/10.1086/ahr.111.4.1261.Full Text
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Greer, J. B., A. L. Bertozzi, and G. Sapiro. “Fourth order partial differential equations on general geometries.” Journal of Computational Physics 216, no. 1 (July 20, 2006): 216–46. https://doi.org/10.1016/j.jcp.2005.11.031.Full Text
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Lee, Michelle, Peter Lloyd, Xiyun Zhang, Julie M. Schallhorn, Keiki Sugimoto, Andrew G. Leach, Guillermo Sapiro, and K. N. Houk. “Shapes of antibody binding sites: qualitative and quantitative analyses based on a geomorphic classification scheme.” The Journal of Organic Chemistry 71, no. 14 (July 2006): 5082–92. https://doi.org/10.1021/jo052659z.Full Text
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Yatziv, Liron, and Guillermo Sapiro. “Fast image and video colorization using chrominance blending.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 15, no. 5 (May 2006): 1120–29. https://doi.org/10.1109/tip.2005.864231.Full Text
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Rathi, Y., P. Olver, G. Sapiro, and A. Tannenbaum. “Affine invariant surface evolutions for 3D image segmentation.” Proceedings of Spie the International Society for Optical Engineering 6064 (April 17, 2006). https://doi.org/10.1117/12.640282.Full Text
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Yatziv, L., A. Bartesaghi, and G. Sapiro. “O(N) implementation of the fast marching algorithm.” Journal of Computational Physics 212, no. 2 (March 1, 2006): 393–99. https://doi.org/10.1016/j.jcp.2005.08.005.Full Text
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Hershkovitz, Eli, Guillermo Sapiro, Allen R. Tannenbaum, and Loren Dean Williams. “Statistical Analysis of RNA Backbone.” Ieee Acm Trans. Comput. Biol. Bioinform. 3 (2006): 33–46. https://doi.org/10.1145/1113896.1113900.Full Text
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Hershkovitz, Eli, Guillermo Sapiro, Allen Tannenbaum, and Loren Dean Williams. “Statistical analysis of RNA backbone.” Ieee/Acm Transactions on Computational Biology and Bioinformatics 3, no. 1 (January 2006): 33–46. https://doi.org/10.1109/tcbb.2006.13.Full Text
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Mohan, A., A. Bartesaghi, and G. Sapiro. “Constrained regularization of digital terrain elevation data.” Ieee Geoscience and Remote Sensing Letters 3, no. 1 (January 1, 2006): 59–62. https://doi.org/10.1109/LGRS.2005.856702.Full Text
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Sapiro, G. “Intellectuals. The genre in the history of intellectuals.” Mouvement Social, no. 214 (2006): 168–70.Link to Item
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Sapiro, G. “Emigrants in New York. The French intellectuals in Manhattan (1940-1944).” Mouvement Social, no. 214 (2006): 174–75.Link to Item
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Sapiro, G. “The price of independence.” Quinzaine Litteraire, no. 919 (2006): 6–8.Link to Item
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Sapiro, G., and B. Gobille. “Proprietor or intellectual worker ? French writers in search for a status.” Mouvement Social, no. 214 (2006): 113-+.Link to Item
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Sapiro, Gisele. “The composer as intellectual. Music and ideology in France (1914-1940).” Quinzaine Litteraire, no. 926 (2006): 26–26.Link to Item
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Sapiro, Gisèle. “Les professions intellectuelles entre l'État, l'entrepreneuriat et l'industrie.” Le Mouvement Social 214, no. 1 (2006): 3–3. https://doi.org/10.3917/lms.214.0003.Full Text
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Breen, D., M. Kirby, A. Lefohn, K. Museth, T. Preusser, G. Sapiro, and R. Whitaker. “Level set and PDE methods for visualization.” Proceedings of the Ieee Visualization Conference, December 1, 2005, 125. https://doi.org/10.1109/VIS.2005.65.Full Text
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Mahmoudi, M., and G. Sapiro. “Fast image and video denoising via nonlocal means of similar neighborhoods.” Ieee Signal Processing Letters 12, no. 12 (December 1, 2005): 839–42. https://doi.org/10.1109/LSP.2005.859509.Full Text
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Martín, Alvaro, Guillermo Sapiro, and Gadiel Seroussi. “Is image steganography natural?” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 14, no. 12 (December 2005): 2040–50. https://doi.org/10.1109/tip.2005.859370.Full Text
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Patwardhan, K. A., G. Sapiro, and M. Benalmio. “Video inpainting of occluding and occluded objects.” Proceedings International Conference on Image Processing, Icip 2 (December 1, 2005): 69–72. https://doi.org/10.1109/ICIP.2005.1529993.Full Text
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Sapiro, G. “Inpainting the colors.” Proceedings International Conference on Image Processing, Icip 2 (December 1, 2005): 698–701. https://doi.org/10.1109/ICIP.2005.1530151.Full Text
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Bartesaghi, A., and G. Sapiro. “Tracking of moving objects under severe and total occlusions.” Proceedings International Conference on Image Processing, Icip 1 (December 1, 2005): 301–4. https://doi.org/10.1109/ICIP.2005.1529747.Full Text
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Mémoli, F., and G. Sapiro. “Distance functions and geodesics on submanifolds of ℝ d and point clouds.” Siam Journal on Applied Mathematics 65, no. 4 (September 30, 2005): 1227–60. https://doi.org/10.1137/S003613990342877X.Full Text
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Bartesaghi, Alberto, Guillermo Sapiro, and Sriram Subramaniam. “An energy-based three-dimensional segmentation approach for the quantitative interpretation of electron tomograms.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 14, no. 9 (September 2005): 1314–23. https://doi.org/10.1109/tip.2005.852467.Full Text
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Mémoli, F., and G. Sapiro. “A theoretical and computational framework for isometry invariant recognition of point cloud data.” Foundations of Computational Mathematics 5, no. 3 (July 1, 2005): 313–47. https://doi.org/10.1007/s10208-004-0145-y.Full Text
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Bartesaghi, A., G. Sapiro, T. Malzbender, and D. Gelb. “Three-dimensional shape rendering from multiple images.” Graphical Models 67, no. 4 (July 1, 2005): 332–46. https://doi.org/10.1016/j.gmod.2005.02.002.Full Text
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Caselles, V., R. Kimmel, and G. Sapiro. “Geometric Active Contours for Image Segmentation,” January 1, 2005, 613–27. https://doi.org/10.1016/B978-012119792-6/50099-1.Full Text
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Mémoli, F., and G. Sapiro. “Comparing point clouds.” Acm International Conference Proceeding Series 71 (December 1, 2004): 32–40. https://doi.org/10.1145/1057432.1057436.Full Text
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Niethammer, Marc, Santiago Betelu, Guillermo Sapiro, Allen Tannenbaum, and Peter J. Giblin. “Area-Based Medial Axis of Planar Curves.” International Journal of Computer Vision 60, no. 3 (December 2004): 203–24. https://doi.org/10.1023/b:visi.0000036835.28674.d0.Full Text
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Patwardhan, K. A., and G. Sapiro. “Automatic image decomposition.” Proceedings International Conference on Image Processing, Icip 1 (December 1, 2004): 645–48. https://doi.org/10.1109/ICIP.2004.1418837.Full Text
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Yatziv, L., G. Sapiro, and M. Levoy. “Lightfield completion.” Proceedings International Conference on Image Processing, Icip 3 (December 1, 2004): 1787–90. https://doi.org/10.1109/ICIP.2004.1421421.Full Text
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Bartesaghi, A., G. Sapiro, S. Lee, J. Lefman, S. Wahl, J. Orenstein, and S. Subramaniam. “A new approach for 3D segmentation of cellular tomograms obtained using three-dimensional electron microscopy.” 2004 2nd Ieee International Symposium on Biomedical Imaging: Macro to Nano 1 (December 1, 2004): 5–8.
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Bartesaghi, A., G. Sapiro, T. Malzbender, and D. Gelb. “Non-photorealistic rendering from multiple images.” Proceedings International Conference on Image Processing, Icip 4 (December 1, 2004): 2403–6. https://doi.org/10.1109/ICIP.2004.1421585.Full Text
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Solé, Andrés, Vicent Caselles, Guillermo Sapiro, and Francisco Arándiga. “Morse description and geometric encoding of digital elevation maps.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 13, no. 9 (September 2004): 1245–62. https://doi.org/10.1109/tip.2004.832864.Full Text
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Tsai, Y. H. R., L. T. Cheng, S. Osher, P. Burchard, and G. Sapiro. “Visibility and its dynamics in a PDE based implicit framework.” Journal of Computational Physics 199, no. 1 (September 1, 2004): 260–90. https://doi.org/10.1016/j.jcp.2004.02.015.Full Text
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Sapiro, Gisèle. “Das französische literarische Feld: Struktur, Dynamik und Formen der Politisierung.” Berliner Journal Für Soziologie 14, no. 2 (June 2004): 157–71. https://doi.org/10.1007/bf03204702.Full Text
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Mémoli, F., G. Sapiro, and S. Osher. “Solving variational problems and partial differential equations mapping into general target manifolds.” Journal of Computational Physics 195, no. 1 (March 20, 2004): 263–92. https://doi.org/10.1016/j.jcp.2003.10.007.Full Text
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Caselles, V., G. Sapiro, A. Solé, and C. Ballester. “Morse description and morphological encoding of continuous data.” Multiscale Modeling and Simulation 2, no. 2 (January 1, 2004): 179–209. https://doi.org/10.1137/S1540345902416557.Full Text
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Mémoli, Facundo, Guillermo Sapiro, and Paul Thompson. “Implicit brain imaging.” Neuroimage 23 Suppl 1 (January 2004): S179–88. https://doi.org/10.1016/j.neuroimage.2004.07.072.Full Text
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Pichon, E., M. Niethammer, and G. Sapiro. “Color histogram equalization through mesh deformation.” Ieee International Conference on Image Processing 2 (December 17, 2003): 117–20.
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Solé, A., V. Caselles, G. Sapiro, and F. Arándiga. “Morse description and geometric encoding of DEM data.” Ieee International Conference on Image Processing 2 (December 17, 2003): 235–38.
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Verdera, J., V. Caselles, M. Bertalmio, and G. Sapiro. “Inpainting surface holes.” Ieee International Conference on Image Processing 2 (December 17, 2003): 903–6.
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Bertalmio, M., L. Vese, G. Sapiro, and S. Osher. “Image filling-in in a decomposition space.” Ieee International Conference on Image Processing 1 (December 16, 2003): 853–55.
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Patwardhan, K. A., and G. Sapiro. “Projection based image and video inpainting using wavelets.” Ieee International Conference on Image Processing 1 (December 16, 2003): 857–60.
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Sapiro, G. “Introduction to Partial Differential Equations and Variational Formulations in Image Processing.” Handbook of Numerical Analysis 11 (December 1, 2003): 383–461. https://doi.org/10.1016/S1570-8659(02)11006-4.Full Text
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Sapiro, Gisèle. “Forms of politicization in the French literary field.” Theory and Society 32, no. 5/6 (December 2003): 633–52. https://doi.org/10.1023/b:ryso.0000004920.14641.1b.Full Text
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Gorla, G., V. Interrante, and G. Sapiro. “Texture Synthesis for 3D Shape Representation.” Ieee Transactions on Visualization and Computer Graphics 9, no. 4 (October 1, 2003): 512–24. https://doi.org/10.1109/TVCG.2003.1260745.Full Text
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Sapiro, Gisèle. “The literary field between the state and the market.” Poetics 31, no. 5–6 (October 2003): 441–64. https://doi.org/10.1016/j.poetic.2003.09.001.Full Text
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Hernandez, M., R. Barrena, G. Hernandez, G. Sapiro, and A. F. Frangi. “Pre-clinical evaluation of Implicit Deformable Models for three-dimensional segmentation of brain aneurysms in CTA.” Proceedings of Spie the International Society for Optical Engineering 5032 II (September 15, 2003): 1264–74. https://doi.org/10.1117/12.483596.Full Text
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Fedkiw, R. P., G. Sapiro, and C. W. Shu. “Shock capturing, level sets, and PDE based methods in computer vision and image processing: A review of Osher's contributions.” Journal of Computational Physics 185, no. 2 (March 1, 2003): 309–41. https://doi.org/10.1016/S0021-9991(02)00016-5.Full Text
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Bertalmio, M., L. Vese, G. Sapiro, and S. Osher. “Simultaneous structure and texture image inpainting.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition 2 (2003): II/707-II/712.
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Bertalmio, Marcelo, Luminita Vese, Guillermo Sapiro, and Stanley Osher. “Simultaneous structure and texture image inpainting.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 12, no. 8 (January 2003): 882–89. https://doi.org/10.1109/tip.2003.815261.Full Text
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Hernandez, M., A. F. Frangi, and G. Sapiro. “Three-dimensional segmentation of brain aneurysms in CTA using non-parametric region-based information and implicit deformable models: Method and evaluation.” Lecture Notes in Computer Science 2879, no. PART 2 (January 1, 2003): 594–602. https://doi.org/10.1007/978-3-540-39903-2_73.Full Text
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Pardo, Alvaro, and Guillermo Sapiro. “Visualization of high dynamic range images.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 12, no. 6 (January 2003): 639–47. https://doi.org/10.1109/tip.2003.812373.Full Text
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Rane, Shantanu D., Guillermo Sapiro, and Marcelo Bertalmio. “Structure and texture filling-in of missing image blocks in wireless transmission and compression applications.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 12, no. 3 (January 2003): 296–303. https://doi.org/10.1109/tip.2002.804264.Full Text
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Sapiro, G. R. “Guest editorial: Introduction to the special issue on imaging science.” Journal of Mathematical Imaging and Vision 18, no. 1 (January 1, 2003): 5. https://doi.org/10.1023/A:1021887609535.Full Text
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Pichon, E., G. Sapiro, and A. Tannenbaum. “Segmentation of diffusion tensor imagery.” Directions in Mathematical Systems Theory and Optimization 286 (2003): 239–47.Link to Item
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Interrante, V., G. Gorla, S. Kim, H. Hagh-Shenas, and G. Sapiro. “Texture synthesis for 3D shape representation.” Journal of Vision 2, no. 7 (December 1, 2002). https://doi.org/10.1167/2.7.305.Full Text
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Sapiro, Gisele, and Herman Lebovics. “Mona Lisa's Escort. Andre Malraux and the Reinvention of French Culture.” Le Mouvement Social, no. 201 (October 2002): 104–104. https://doi.org/10.2307/3779882.Full Text
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Sapiro, Gisèle. “The structure of the French literary field during the German Occupation (1940–1944).” Poetics 30, no. 5–6 (October 2002): 387–402. https://doi.org/10.1016/s0304-422x(02)00032-3.Full Text
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Faugeras, O., P. Perona, and G. Sapiro. “Special issue on partial differential equations in image processing, computer vision, and computer graphics.” Journal of Visual Communication and Image Representation 13, no. 1–2 (January 1, 2002): 1–2. https://doi.org/10.1006/jvci.2002.0505.Full Text
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Pardo, A., and G. Sapiro. “Visualization of high dynamic range images.” Ieee International Conference on Image Processing 1 (January 1, 2002).
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Rane, S. D., G. Sapiro, and M. Bertalmio. “Structure and texture filling-in of missing image blocks in wireless transmission and compression.” Ieee International Conference on Image Processing 1 (January 1, 2002).
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Rane, S. D., J. Remus, and G. Sapiro. “Wavelet-domain reconstruction of lost blocks in wireless image transmission and packet-switched networks.” Ieee International Conference on Image Processing 1 (January 1, 2002).
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Bertalmío, M., L. T. Cheng, S. Osher, and G. Sapiro. “Variational problems and partial differential equations on implicit surfaces.” Journal of Computational Physics 174, no. 2 (December 10, 2001): 759–80. https://doi.org/10.1006/jcph.2001.6937.Full Text
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Bertalmío, M., A. L. Bertozzi, and G. Sapiro. “Navier-Stokes, fluid dynamics, and image and video inpainting.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition 1 (December 1, 2001).
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Mémoli, F., and G. Sapiro. “Fast computation of weighted distance functions and geodesics on implicit hyper-surfaces.” Journal of Computational Physics 173, no. 2 (November 1, 2001): 730–64. https://doi.org/10.1006/jcph.2001.6910.Full Text
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Rane, S. D., and G. Sapiro. “Evaluation of JPEG-LS, the new lossless and controlled-lossy still image compression standard, for compression of high-resolution elevation data.” Ieee Transactions on Geoscience and Remote Sensing 39, no. 10 (October 1, 2001): 2298–2306. https://doi.org/10.1109/36.957293.Full Text
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Bartesaghi, A., and G. Sapiro. “A system for the generation of curves on 3D brain images.” Human Brain Mapping 14, no. 1 (September 2001): 1–15. https://doi.org/10.1002/hbm.1037.Full Text
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Betelu, S., G. Sapiro, A. Tannenbaum, and P. J. Giblin. “On the computation of the affine skeletons of planar curves and the detection of skew symmetry.” Pattern Recognition 34, no. 5 (May 1, 2001): 943–52. https://doi.org/10.1016/S0031-3203(00)00045-5.Full Text
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Pardo, A., and G. Sapiro. “Vector probability diffusion.” Ieee Signal Processing Letters 8, no. 4 (April 1, 2001): 106–9. https://doi.org/10.1109/97.911471.Full Text
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Solé, A. F., S. C. Ngan, G. Sapiro, X. Hu, and A. López. “Anisotropic 2-D and 3-D averaging of fMRI signals.” Ieee Transactions on Medical Imaging 20, no. 2 (February 2001): 86–93. https://doi.org/10.1109/42.913175.Full Text
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Ballester, C., M. Bertalmio, V. Caselles, G. Sapiro, and J. Verdera. “Filling-in by joint interpolation of vector fields and gray levels.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 10, no. 8 (January 2001): 1200–1211. https://doi.org/10.1109/83.935036.Full Text
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Ballester, C., V. Caselles, J. Verdera, M. Bertalmio, and G. Sapiro. “A variational model for filling-in gray level and color images.” Proceedings of the Ieee International Conference on Computer Vision 1 (January 1, 2001): 10–16.
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Betelu, S., G. Sapiro, and A. Tannenbaum. “Affine invariant erosion of 3D shapes.” Proceedings of the Ieee International Conference on Computer Vision 2 (January 1, 2001): 174–80.
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Haker, S., G. Sapiro, A. Tannenbaum, and D. Washburn. “Missile tracking using knowledge-based adaptive thresholding.” Ieee International Conference on Image Processing 1 (January 1, 2001): 786–89.
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Solé, A. F., A. López, and G. Sapiro. “Crease enhancement diffusion.” Computer Vision and Image Understanding 84, no. 2 (January 1, 2001): 241–48. https://doi.org/10.1006/cviu.2001.0945.Full Text
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Tang, B., G. Sapiro, and V. Caselles. “Color image enhancement via chromaticity diffusion.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 10, no. 5 (January 2001): 701–7. https://doi.org/10.1109/83.918563.Full Text
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Chung, D. H., and G. Sapiro. “Segmenting skin lesions with partial differential equations based image processing algorithms.” Ieee International Conference on Image Processing 3 (December 1, 2000).
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Chung, D. H., and G. Sapiro. “Segmentation-free skeletonization of gray-scale images via PDE's.” Ieee International Conference on Image Processing 2 (December 1, 2000): 927–30.
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Neoh, H. S., and G. Sapiro. “Using anisotropic diffusion of probability maps for activity detection in block-design functional MRI.” Ieee International Conference on Image Processing 1 (December 1, 2000): 621–24.
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Tang, B., G. Sapiro, and V. Caselles. “Chromaticity diffusion.” Ieee International Conference on Image Processing 2 (December 1, 2000): 784–87.
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Chung, D. H., and G. Sapiro. “On the level lines and geometry of vector-valued images.” Ieee Signal Processing Letters 7, no. 9 (September 1, 2000): 241–43. https://doi.org/10.1109/97.863143.Full Text
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Bertalmio, M., G. Sapiro, and G. Randall. “Morphing active contours.” Ieee Transactions on Pattern Analysis and Machine Intelligence 22, no. 7 (July 1, 2000): 733–37. https://doi.org/10.1109/34.865191.Full Text
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Chung, D. H., and G. Sapiro. “Segmenting skin lesions with partial-differential-equations-based image processing algorithms.” Ieee Transactions on Medical Imaging 19, no. 7 (July 2000): 763–67. https://doi.org/10.1109/42.875204.Full Text
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Bertalmio, M., G. Sapiro, V. Caselles, and C. Ballester. “Image Inpainting.” Siggraph 2000 Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, July 1, 2000, 417–24. https://doi.org/10.1145/344779.344972.Full Text
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Faugeras, Olivier, Mads Nielsen, Pietro Perona, Bar ter Haar Romeny, and Guillermo Sapiro. “Special Issue on the Second International Conference on Scale Space Theory in Computer Vision.” Journal of Visual Communication and Image Representation 11, no. 2 (June 2000): 95–95. https://doi.org/10.1006/jvci.1999.0436.Full Text
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Haker, S., S. Angenent, A. Tannenbaum, R. Kikinis, G. Sapiro, and M. Halle. “Conformal surface parameterization for texture mapping.” Ieee Transactions on Visualization and Computer Graphics 6, no. 2 (April 1, 2000): 181–89. https://doi.org/10.1109/2945.856998.Full Text
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Haker, S., G. Sapiro, and A. Tannenbaum. “Knowledge-based segmentation of SAR data with learned priors.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 9, no. 2 (January 2000): 299–301. https://doi.org/10.1109/83.821747.Full Text
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Pardo, A., and G. Sapiro. “Vector probability diffusion.” Ieee International Conference on Image Processing 1 (2000): 884–87.
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Weinberger, M. J., G. Seroussi, and G. Sapiro. “The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 9, no. 8 (January 2000): 1309–24. https://doi.org/10.1109/83.855427.Full Text
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Caselles, V., G. Sapiro, and D. H. Chung. “Vector median filters, inf-sup operations, and coupled PDE's: Theoretical connections.” Journal of Mathematical Imaging and Vision 12, no. 2 (January 1, 2000): 109–19. https://doi.org/10.1023/A:1008310305351.Full Text
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Tang, B., G. Sapiro, and V. Caselles. “Diffusion of general data on non-flat manifolds via harmonic maps theory: The direction diffusion case.” International Journal of Computer Vision 36, no. 2 (January 1, 2000): 149–61. https://doi.org/10.1023/A:1008152115986.Full Text
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Sapiro, G. “Color and illuminant voting.” Ieee Transactions on Pattern Analysis and Machine Intelligence 21, no. 11 (December 1, 1999): 1210–15. https://doi.org/10.1109/34.809114.Full Text
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Weinberger, M. J., G. Seroussi, and G. Sapiro. “From LOCO-I to the JPEG-LS standard.” Ieee International Conference on Image Processing 4 (December 1, 1999): 68–72.
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Caselles, V., G. Sapiro, and D. H. Chung. “Vector median filters, morphology, and PDE's: Theoretical connections.” Ieee International Conference on Image Processing 4 (December 1, 1999): 177–81.
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Bertalmio, M., G. Sapiro, and G. Randall. “Region tracking on level-sets methods.” Ieee Transactions on Medical Imaging 18, no. 5 (May 1999): 448–51. https://doi.org/10.1109/42.774172.Full Text
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Caselles, V., J. L. Lisani, J. M. Morel, and G. Sapiro. “Shape preserving local histogram modification.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 8, no. 2 (January 1999): 220–30. https://doi.org/10.1109/83.743856.Full Text
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Olver, P. J., G. Sapiro, and A. Tannenbaum. “Affine invariant detection: Edge maps, anisotropic diffusion, and active contours.” Acta Applicandae Mathematicae 59, no. 1 (January 1, 1999): 45–77. https://doi.org/10.1023/A:1006295328209.Full Text
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Tang, B., G. Sapiro, and V. Caselles. “Direction diffusion.” Proceedings of the Ieee International Conference on Computer Vision 2 (January 1, 1999): 1245–52.
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Bertalmio, M., G. Sapiro, and G. Randall. “Morphing active contours: a geometric approach to topology-independent image segmentation and tracking.” Ieee International Conference on Image Processing 3 (December 1, 1998): 318–22.
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Giblin, P. J., and G. Sapiro. “Affine invariant medial axis and skew symmetry.” Proceedings of the Ieee International Conference on Computer Vision, December 1, 1998, 833–38.
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Haker, S., G. Sapiro, and A. Tannenbaum. “Knowledge-based segmentation of SAR images.” Ieee International Conference on Image Processing 1 (December 1, 1998): 597–601.
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Sapiro, G. “Bilinear voting.” Proceedings of the Ieee International Conference on Computer Vision, December 1, 1998, 178–83.
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Teo, P. C., G. Sapiro, and B. Wandell. “Segmenting cortical gray matter for functional MRI visualization.” Proceedings of the Ieee International Conference on Computer Vision, December 1, 1998, 292–97.
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Vazquez, L., G. Sapiro, and G. Randall. “Segmenting neurons in electronic microscopy via geometric tracing.” Ieee International Conference on Image Processing 3 (December 1, 1998): 814–18.
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Weinberger, M., G. Seroussi, and G. Sapiro. “LOCO-I lossless image compression algorithm: Principles and standardization into JPEG-LS,” no. HPL-98-193 (November 1, 1998): 1–31.
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Angenent, S., G. Sapiro, and A. Tannenbaum. “On the affine heat equation for non-convex curves.” Journal of the American Mathematical Society 11, no. 3 (January 1, 1998): 601–34. https://doi.org/10.1090/s0894-0347-98-00262-8.Full Text
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Caselles, V., and J. Morel. “Introduction to the special issue on partial differential equations and geometry-driven diffusion in image processing and analysis.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 7, no. 3 (January 1998): 269–73. https://doi.org/10.1109/tip.1998.661176.Full Text
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Giblin, P. J., and G. Sapiro. “Affine-Invariant Distances, Envelopes and Symmetry Sets.” Geometriae Dedicata 71, no. 3 (January 1, 1998): 237–61. https://doi.org/10.1023/A:1005099011913.Full Text
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Black, M. J., G. Sapiro, D. H. Marimont, and D. Heeger. “Robust anisotropic diffusion.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 7, no. 3 (January 1998): 421–32. https://doi.org/10.1109/83.661192.Full Text
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Black, M., G. Sapiro, D. Marimont, and D. Heeger. “Robust anisotropic diffusion and sharpening of scalar and vector images.” Ieee International Conference on Image Processing 1 (December 1, 1997): 263–66.
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Caselles, V., J. L. Lisani, J. M. Morel, and G. Sapiro. “Shape preserving local contrast enhancement.” Ieee International Conference on Image Processing 1 (December 1, 1997): 314–17.
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Caselles, V., R. Kimmel, G. Sapiro, and C. Sbert. “Minimal surfaces based object segmentation.” Ieee Transactions on Pattern Analysis and Machine Intelligence 19, no. 4 (December 1, 1997): 394–98. https://doi.org/10.1109/34.588023.Full Text
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Teo, P. C., G. Sapiro, and B. A. Wandell. “Anisotropic smoothing of posterior probabilities.” Ieee International Conference on Image Processing 1 (December 1, 1997): 675–78.
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Teo, P. C., G. Sapiro, and B. A. Wandell. “Creating connected representations of cortical gray matter for functional MRI visualization.” Ieee Transactions on Medical Imaging 16, no. 6 (December 1997): 852–63. https://doi.org/10.1109/42.650881.Full Text
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Ringach, D. L., G. Sapiro, and R. Shapley. “A subspace reverse-correlation technique for the study of visual neurons.” Vision Research 37, no. 17 (September 1997): 2455–64. https://doi.org/10.1016/s0042-6989(96)00247-7.Full Text
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Sapiro, Gisele, and Anne Simonin. “Les Editions de Minuit 1942-1955. Le devoir d'insoumission.” Le Mouvement Social, no. 180 (July 1997): 244–244. https://doi.org/10.2307/3779380.Full Text
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Sapiro, Gisele. “Les conditions professionnelles d'une mobilisation reussie: le Comite national des ecrivains.” Le Mouvement Social, no. 180 (July 1997): 179–179. https://doi.org/10.2307/3779354.Full Text
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Sapiro, G., and V. Caselles. “Histogram Modification via Differential Equations.” Journal of Differential Equations 135, no. 2 (April 10, 1997): 238–68. https://doi.org/10.1006/jdeq.1996.3237.Full Text
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Caselles, V., J. L. Lisani, J. M. Morel, and G. Sapiro. “Shape preserving local histogram modification,” no. 97–58 (April 1, 1997): 1–20.
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Pollick, F. E., and G. Sapiro. “Constant affine velocity predicts the 1/3 power law of planar motion perception and generation.” Vision Research 37, no. 3 (February 1997): 347–53. https://doi.org/10.1016/s0042-6989(96)00116-2.Full Text
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Caselles, V., R. Kimmel, G. Sapiro, and C. Sbert. “Minimal surfaces: A geometric three dimensional segmentation approach.” Numerische Mathematik 77, no. 4 (January 1, 1997): 423–51. https://doi.org/10.1007/s002110050294.Full Text
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Caselles, V., R. Kimmel, and G. Sapiro. “Geodesic Active Contours.” International Journal of Computer Vision 22, no. 1 (January 1, 1997): 61–79. https://doi.org/10.1023/A:1007979827043.Full Text
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Olver, P. J., G. Sapiro, and A. Tannenbaum. “Invariant geometric evolutions of surfaces and volumetric smoothing.” Siam Journal on Applied Mathematics 57, no. 1 (January 1, 1997): 176–94. https://doi.org/10.1137/s0036139994266311.Full Text
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Sapiro, G. “Color Snakes.” Computer Vision and Image Understanding 68, no. 2 (January 1, 1997): 247–53. https://doi.org/10.1006/cviu.1997.0562.Full Text
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Sapiro, G., and V. Caselles. “Contrast Enhancement via Image Evolution Flows.” Graphical Models and Image Processing 59, no. 6 (January 1, 1997): 407–16. https://doi.org/10.1006/gmip.1997.0446.Full Text
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Teo, P. C., G. Sapiro, and B. A. Wandell. “Anatomically consistent segmentation of the human cortex for functional MRI visualization.” Hp Laboratories Technical Report, no. 97–3 (January 1, 1997): 1–21.
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Sapiro, G. “'Alea' - French - Kjaerstad,J.” Actes De La Recherche En Sciences Sociales, no. 118 (1997): 5–5.Link to Item
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Sapiro, G. “The Vichy government - French - Baruch,MO.” Actes De La Recherche En Sciences Sociales, no. 119 (1997): 71–71.Link to Item
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Sapiro, G., A. Cohen, and A. M. Bruckstein. “A Subdivision Scheme for Continuous-Scale B-Splines and Affine-Invariant Progressive Smoothing.” Journal of Mathematical Imaging and Vision 7, no. 1 (January 1, 1997): 23–40. https://doi.org/10.1023/A:1008261923192.Full Text
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Sapiro, G. “Vector (self) snakes: A geometric framework for color, texture, and multiscale image segmentation.” Ieee International Conference on Image Processing 1 (December 1, 1996): 817–20.
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Sapiro, G. “From active contours to anisotropic diffusion: Connections between basic PDE's in image processing.” Ieee International Conference on Image Processing 1 (December 1, 1996): 477–80.
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Giblin, P. J., and G. Sapiro. “Affine invariant distances, envelopes and symmetry sets.” Hp Laboratories Technical Report, no. 96–93 (June 1, 1996): 2–30.
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Ringach, D. L., G. Sapiro, and R. Shapley. “A simple reverse correlation scheme for the identification of visual neurons.” Investigative Ophthalmology and Visual Science 37, no. 3 (February 15, 1996).
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Malladi, R., R. Kimmel, D. Adalsteinsson, G. Sapiro, V. Caselles, and J. A. Sethian. “Geometric approach to segmentation and analysis of 3D medical images.” Proceedings of the Workship on Mathematical Methods in Biomedical Image Analysis, January 1, 1996, 244–52.
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Olver, P. J., G. Sapiro, and A. Tannenbaum. “Affine invariant detection: edges, active contours, and segments.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, January 1, 1996, 520–25. https://doi.org/10.1109/cvpr.1996.517121.Full Text
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Sapiro, G. “Vector-valued active contours.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, January 1, 1996, 680–85. https://doi.org/10.1109/cvpr.1996.517146.Full Text
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Sapiro, G., and D. L. Ringach. “Anisotropic diffusion of multivalued images with applications to color filtering.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 5, no. 11 (January 1996): 1582–86. https://doi.org/10.1109/83.541429.Full Text
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Weinberger, M. J., G. Seroussi, and G. Sapiro. “LOCO-I: a low complexity, context-based, lossless image compression algorithm.” Data Compression Conference Proceedings, January 1, 1996, 140–49.
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Ringach, D. L., G. Sapiro, and R. Shapley. “A simple reverse correlation scheme for the identification of visual neurons.” Investigative Ophthalmology & Visual Science 37, no. 3 (1996): 4178–4178.Link to Item
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Ringach, D. L., M. Carandini, G. Sapiro, and R. Shapley. “Cortical circuitry revealed by reverse correlation in the orientation domain.” Perception 25 (1996): 31–31.Link to Item
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Sapiro, G. “Salvation through literature and literature of salvation - Two different paths of the Catholic novelists: Francois Mauriac and Henry Bordeaux.” Actes De La Recherche En Sciences Sociales, no. 111–12 (1996): 36.Link to Item
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Sapiro, G. “Economics and humanism - From public utopia to struggle for the Third World 1941-1996 - French - Pelletier,D.” Actes De La Recherche En Sciences Sociales, no. 115 (1996): 105–6.Link to Item
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Sapiro, G. “Boarded-up windows - French - Vona,A.” Actes De La Recherche En Sciences Sociales, no. 114 (1996): 3–3.Link to Item
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Sapiro, G. “Dans les soulevements - French - Vargaftig,B.” Actes De La Recherche En Sciences Sociales, no. 114 (1996): 13–13.Link to Item
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Sapiro, G. “Vichy and femininity - Political sociology of the order of bodies - French - MuelDreyfus,F.” Actes De La Recherche En Sciences Sociales, no. 113 (1996): 103–4.Link to Item
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Sapiro, G. “Intellectuals in 19th-century Europe - Comparative history - French - Charle,C.” Actes De La Recherche En Sciences Sociales, no. 115 (1996): 107–107.Link to Item
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Sapiro, G. “For reasons of literature - French literature during the occupation 1940-1944.” Actes De La Recherche En Sciences Sociales, no. 111–12 (1996): 3.Link to Item
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Sapiro, G. “Mircea Eliade and the amnesia of history.” Actes De La Recherche En Sciences Sociales, no. 114 (1996): 5–5.Link to Item
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Sapiro, G., and D. L. Ringach. “Anisotropic diffusion of color images.” Proceedings of Spie the International Society for Optical Engineering 2657 (January 1, 1996): 471–82.
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Sapiro, G. “Geometric partial differential equations in image analysis: past, present, and future.” Ieee International Conference on Image Processing 3 (December 1, 1995): 1–4.
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Sapiro, G., and V. Caselles. “Histogram modification via partial differential equations.” Ieee International Conference on Image Processing 3 (December 1, 1995): 632–35.
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Sapiro, Gisele, and James Steel. “Litteratures de l'ombre.” Le Mouvement Social, no. 171 (April 1995): 109–109. https://doi.org/10.2307/3779547.Full Text
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Sapiro, G., and A. M. Bruckstein. “The ubiquitous ellipse.” Acta Applicandae Mathematicae 38, no. 2 (February 1, 1995): 149–61. https://doi.org/10.1007/BF00992844.Full Text
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Bruckstein, A. M., G. Sapiro, and D. Shaked. “Evolutions of planar polygons.” International Journal of Pattern Recognition and Artificial Intelligence 9, no. 6 (January 1, 1995): 991–1014. https://doi.org/10.1142/S0218001495000407.Full Text
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Bruckstein, A. M., G. Sapiro, and D. Shaked. “Evolutions of planar polygons.” International Journal of Pattern Recognition and Artificial Intelligence 9, no. 6 (1995): 991–1014.
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Caselles, V., R. Kimmel, and G. Sapiro. “Geodesic active contours.” Ieee International Conference on Computer Vision, January 1, 1995, 694–99.
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Kimmel, R., and G. Sapiro. “Shortening three-dimensional curves via two-dimensional flows.” Computers and Mathematics With Applications 29, no. 3 (January 1, 1995): 49–62. https://doi.org/10.1016/0898-1221(94)00228-D.Full Text
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Tannenbaum, A., and G. Sapiro. “Area and Length Preserving Geometric Invariant Scale-Spaces.” Ieee Transactions on Pattern Analysis and Machine Intelligence 17, no. 1 (January 1, 1995): 67–72. https://doi.org/10.1109/34.368150.Full Text
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POLLICK, F. E., and G. SAPIRO. “CONSTANT AFFINE VELOCITY AND THE GENERATION AND PERCEPTION OF UNIFORM PLANAR MOTION.” Investigative Ophthalmology & Visual Science 36, no. 4 (1995): S360–S360.Link to Item
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Sapiro, G., and D. Malah. “Morphological image coding based on a geometric sampling theorem and a modified skeleton representation.” Journal of Visual Communication and Image Representation 5, no. 1 (January 1, 1994): 29–40. https://doi.org/10.1006/jvci.1994.1003.Full Text
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OLVER, P. J., G. SAPIRO, and A. TANNENBAUM. “CLASSIFICATION AND UNIQUENESS OF INVARIANT GEOMETRIC FLOWS.” Comptes Rendus De L Academie Des Sciences Serie I Mathematique 319, no. 4 (1994): 339–44.Link to Item
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Sapiro, G., and A. Tannenbaum. “On affine plane curve evolution.” Journal of Functional Analysis 119, no. 1 (January 1, 1994): 79–120. https://doi.org/10.1006/jfan.1994.1004.Full Text
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Sapiro, G., and A. Tannenbaum. “Affine invariant scale-space.” International Journal of Computer Vision 11, no. 1 (August 1, 1993): 25–44. https://doi.org/10.1007/BF01420591.Full Text
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SAPIRO, G., and A. TANNENBAUM. “On Invariant Curve Evolution and Image Analysis.” Indiana University Mathematics Journal 42, no. 3 (1993): 985–1009. https://doi.org/10.1512/iumj.1993.42.42046.Full Text Link to Item
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Sapiro, G., R. Kimmel, D. Shaked, B. B. Kimia, and A. M. Bruckstein. “Implementing continuous-scale morphology via curve evolution.” Pattern Recognition 26, no. 9 (January 1, 1993): 1363–72. https://doi.org/10.1016/0031-3203(93)90142-J.Full Text
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Sapiro, G., and A. R. Tannenbaum. “Formulating invariant heat-type curve flows.” Proceedings of Spie the International Society for Optical Engineering 2031 (January 1, 1993): 234–45.
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SAPIRO, G. “THE ACADEMIE-FRANCAISE AND THE ACADEMIE-GONCOURT DURING THE 1940S - FUNCTION AND OPERATION OF LITERARY INSTITUTIONS IN A PERIOD OF NATIONAL CRISIS.” Texte Revue De Critique Et De Theorie Litteraire, no. 12 (1992): 151–96.Link to Item
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Whitsel, B. L., L. M. Petrucelli, G. Sapiro, and H. Ha. “Fiber sorting in the fasciculus gracilis of squirrel monkeys.” Experimental Neurology 29, no. 2 (November 1970): 227–42. https://doi.org/10.1016/0014-4886(70)90054-3.Full Text
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Whitsel, B. L., L. M. Petrucelli, and G. Sapiro. “Modality representation in the lumbar and cervical fasciculus gracilis of squirrel monkeys.” Brain Research 15, no. 1 (September 1969): 67–78. https://doi.org/10.1016/0006-8993(69)90310-2.Full Text
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Book Sections
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Pokrass, J., A. M. Bronstein, M. M. Bronstein, P. Sprechmann, and G. Sapiro. “Sparse models for intrinsic shape correspondence.” In Mathematics and Visualization, 0:211–30, 2016. https://doi.org/10.1007/978-3-319-24726-7_10.Full Text
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Pisharady, Pramod Kumar, Julio M. Duarte-Carvajalino, Stamatios N. Sotiropoulos, Guillermo Sapiro, and Christophe Lenglet. “Sparse Bayesian Inference of White Matter Fiber Orientations from Compressed Multi-resolution Diffusion MRI.,” 9349:117–24, 2015. https://doi.org/10.1007/978-3-319-24553-9_15.Full Text
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Aganj, I., G. Sapiro, and N. Harel. “Q-Space Modeling in Diffusion-Weighted MRI.” In Brain Mapping: An Encyclopedic Reference, 1:257–63, 2015. https://doi.org/10.1016/B978-0-12-397025-1.00293-1.Full Text
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Sprechmann, P., A. M. Bronstein, and G. Sapiro. “Supervised non-negative matrix factorization for audio source separation.” In Applied and Numerical Harmonic Analysis, 407–20, 2015. https://doi.org/10.1007/978-3-319-20188-7_16.Full Text
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Yatziv, L., and G. Sapiro. “Image and video colorization.” In Color Image Processing: Methods and Applications, 467–81, 2006.
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Mémoli, F., and G. Sapiro. “Computing with point cloud data.” In Modeling and Simulation in Science, Engineering and Technology, 201–29, 2006. https://doi.org/10.1007/0-8176-4481-4_8.Full Text
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Scholarly Editions
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Sapiro, Gisele. “Французское поле литературы; структура, динамика и формы политизации,” October 27, 2007.
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Conference Papers
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Papadaki, A., N. Martinez, M. Bertran, G. Sapiro, and M. Rodrigues. “Minimax Demographic Group Fairness in Federated Learning.” In Acm International Conference Proceeding Series, 142–59, 2022. https://doi.org/10.1145/3531146.3533081.Full Text
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Dong, H., Z. Wang, Q. Qiu, and G. Sapiro. “Using text to teach image retrieval.” In Ieee Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 1643–52, 2021. https://doi.org/10.1109/CVPRW53098.2021.00180.Full Text
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Achddou, R., J. M. Di Martino, and G. Sapiro. “Nested learning for multi-level classification.” In Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, 2021-June:2815–19, 2021. https://doi.org/10.1109/ICASSP39728.2021.9415076.Full Text
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Wang, Z., S. Ding, Y. Li, J. Fenn, S. Roychowdhury, A. Wallin, L. Martin, S. Ryvola, G. Sapiro, and Q. Qiu. “Cirrus: A Long-range Bi-pattern LiDAR Dataset.” In Proceedings Ieee International Conference on Robotics and Automation, 2021-May:5744–50, 2021. https://doi.org/10.1109/ICRA48506.2021.9561267.Full Text
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Asiedu, Mercy N., Erica Skerrett, Guillermo Sapiro, and Nirmala Ramanujam. “Combining multiple contrasts for improving machine learning-based classification of cervical cancers with a low-cost point-of-care Pocket colposcope.” In Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference, 2020:1148–51, 2020. https://doi.org/10.1109/embc44109.2020.9175858.Full Text
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Bertran, M., N. Martinezf, M. Phielipp, and G. Sapiro. “Instance-based generalization in reinforcement learning.” In Advances in Neural Information Processing Systems, Vol. 2020-December, 2020.
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Cohen, G., G. Sapiro, and R. Giryes. “Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors.” In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 14441–50, 2020. https://doi.org/10.1109/CVPR42600.2020.01446.Full Text
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Martinez, N., M. Bertran, and G. Sapiro. “Minimax pareto fairness: A multi objective perspective.” In 37th International Conference on Machine Learning, Icml 2020, PartF168147-9:6711–20, 2020.
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Wang, Z., X. Cheng, G. Sapiro, and Q. Qiu. “STOCHASTIC CONDITIONAL GENERATIVE NETWORKS WITH BASIS DECOMPOSITION.” In 8th International Conference on Learning Representations, Iclr 2020, 2020.
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Martinez, N., M. Bertran, G. Sapiro, and H. T. Wu. “Non-Contact Photoplethysmogram and Instantaneous Heart Rate Estimation from Infrared Face Video.” In Proceedings International Conference on Image Processing, Icip, 2019-September:2020–24, 2019. https://doi.org/10.1109/ICIP.2019.8803109.Full Text
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Cheng, Xiuyuan, Qiang Qiu, Robert Calderbank, and Guillermo Sapiro. “RotDCF: Decomposition of convolutional filters for rotation-equivariant deep networks,” 2019.Link to Item
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Bertran, M., N. Martinez, A. Papadaki, Q. Qiu, M. Rodrigues, G. Reeves, and G. Sapiro. “Adversarially learned representations for information obfuscation and inference.” In 36th International Conference on Machine Learning, Icml 2019, 2019-June:960–74, 2019.
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Ahn, H. K., Q. Qiu, E. Bosch, A. Thompson, F. E. Robles, G. Sapiro, W. S. Warren, and R. Calderbank. “Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform.” In Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, 2018-April:4209–13, 2018. https://doi.org/10.1109/ICASSP.2018.8461298.Full Text
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Giryes, R., Y. C. Eldar, A. M. Bronstein, and G. Sapiro. “The Learned Inexact Project Gradient Descent Algorithm.” In Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, 2018-April:6767–71, 2018. https://doi.org/10.1109/ICASSP.2018.8462136.Full Text
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Asiedu, M. N., A. Simhal, C. T. Lam, J. Mueller, U. Chaudhary, J. W. Schmitt, G. Sapiro, and N. Ramanujam. “Image processing and machine learning techniques to automate diagnosis of Lugol's iodine cervigrams for a low-cost point-of-care digital colposcope.” In Progress in Biomedical Optics and Imaging Proceedings of Spie, Vol. 10485, 2018. https://doi.org/10.1117/12.2282792.Full Text
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Su, S., M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, and O. Wang. “Deep video deblurring for hand-held cameras.” In Proceedings 30th Ieee Conference on Computer Vision and Pattern Recognition, Cvpr 2017, 2017-January:237–46, 2017. https://doi.org/10.1109/CVPR.2017.33.Full Text
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Tepper, M., and G. Sapiro. “Nonnegative matrix underapproximation for robust multiple model fitting.” In Proceedings 30th Ieee Conference on Computer Vision and Pattern Recognition, Cvpr 2017, 2017-January:655–63, 2017. https://doi.org/10.1109/CVPR.2017.77.Full Text
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Sokolić, J., R. Giryes, G. Sapiro, and M. R. D. Rodrigues. “Generalization error of deep neural networks: Role of classification margin and data structure.” In 2017 12th International Conference on Sampling Theory and Applications, Sampta 2017, 147–51, 2017. https://doi.org/10.1109/SAMPTA.2017.8024476.Full Text
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Pisharady, Pramod Kumar, Stamatios N. Sotiropoulos, Guillermo Sapiro, and Christophe Lenglet. “A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI.” In Medical Image Computing and Computer Assisted Intervention : Miccai ... International Conference on Medical Image Computing and Computer Assisted Intervention, 10433:602–10, 2017. https://doi.org/10.1007/978-3-319-66182-7_69.Full Text
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Qiu, Q., J. Hashemi, and G. Sapiro. “Intelligent synthesis driven model calibration: framework and face recognition application.” In Proceedings 2017 Ieee International Conference on Computer Vision Workshops, Iccvw 2017, 2018-January:2564–72, 2017. https://doi.org/10.1109/ICCVW.2017.301.Full Text
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Sokolić, J., Q. Qiu, M. R. D. Rodrigues, and G. Sapiro. “Learning to identify while failing to discriminate.” In Proceedings 2017 Ieee International Conference on Computer Vision Workshops, Iccvw 2017, 2018-January:2537–44, 2017. https://doi.org/10.1109/ICCVW.2017.298.Full Text
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Chen, J., Z. Chang, Q. Qiu, X. Li, G. Sapiro, A. Bronstein, and M. Pietikäinen. “RealSense = real heart rate: Illumination invariant heart rate estimation from videos.” In 2016 6th International Conference on Image Processing Theory, Tools and Applications, Ipta 2016, 2017. https://doi.org/10.1109/IPTA.2016.7820970.Full Text
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Sokolić, J., R. Giryes, G. Sapiro, and M. R. D. Rodrigues. “Generalization error of invariant classifiers.” In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, Aistats 2017, 2017.
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Sokolić, J., R. Giryes, G. Sapiro, and M. R. D. Rodrigues. “Generalization error of invariant classifiers.” In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, Aistats 2017, 2017.
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Fiori, M., P. Muse, M. Tepper, and G. Sapiro. “Tell me where you are and i tell you where you are going: Estimation of dynamic mobility graphs.” In Proceedings of the Ieee Sensor Array and Multichannel Signal Processing Workshop, Vol. 2016-September, 2016. https://doi.org/10.1109/SAM.2016.7569685.Full Text
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Tepper, M., and G. Sapiro. “A short-graph fourier transform via personalized pagerank vectors.” In Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, 2016-May:4806–10, 2016. https://doi.org/10.1109/ICASSP.2016.7472590.Full Text
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Chang, Z., Q. Qiu, and G. Sapiro. “Synthesis-based low-cost gaze analysis.” In Communications in Computer and Information Science, 618:95–100, 2016. https://doi.org/10.1007/978-3-319-40542-1_15.Full Text
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Hashemi, J., Q. Qiu, and G. Sapiro. “Cross-modality pose-invariant facial expression.” In Proceedings International Conference on Image Processing, Icip, 2015-December:4007–11, 2015. https://doi.org/10.1109/ICIP.2015.7351558.Full Text
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Kim, J., Y. Duchin, G. Sapiro, J. Vitek, and N. Harel. “Clinical deep brain stimulation region prediction using regression forests from high-field MRI.” In Proceedings International Conference on Image Processing, Icip, 2015-December:2480–84, 2015. https://doi.org/10.1109/ICIP.2015.7351248.Full Text
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Tepper, M., A. Newson, P. Sprechmann, and G. Sapiro. “Multi-temporal foreground detection in videos.” In Proceedings International Conference on Image Processing, Icip, 2015-December:4599–4603, 2015. https://doi.org/10.1109/ICIP.2015.7351678.Full Text
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Delbracio, M., and G. Sapiro. “Burst deblurring: Removing camera shake through fourier burst accumulation.” In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 07-12-June-2015:2385–93, 2015. https://doi.org/10.1109/CVPR.2015.7298852.Full Text
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Huang, J., Q. Qiu, R. Calderbank, M. Rodrigues, and G. Sapiro. “Alignment with intra-class structure can improve classification.” In Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, 2015-August:1921–25, 2015. https://doi.org/10.1109/ICASSP.2015.7178305.Full Text
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Kim, J., Y. Duchin, G. Sapiro, J. Vitek, and N. Harel. “Clinical subthalamic nucleus prediction from high-field brain MRI.” In Proceedings International Symposium on Biomedical Imaging, 2015-July:1264–67, 2015. https://doi.org/10.1109/ISBI.2015.7164104.Full Text
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Huang, J., Q. Qiu, R. Calderbank, and G. Sapiro. “Geometry-aware deep transform.” In Proceedings of the Ieee International Conference on Computer Vision, 2015 International Conference on Computer Vision, ICCV 2015:4139–47, 2015. https://doi.org/10.1109/ICCV.2015.471.Full Text
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Draelos, M., Q. Qiu, A. Bronstein, and G. Sapiro. “Intel realsense= real low cost gaze.” In Image Processing (Icip), 2015 Ieee International Conference On, 2520–24. IEEE, 2015.
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Giryes, R., G. Sapiro, and A. M. Bronstein. “On the stability of deep networks.” In 3rd International Conference on Learning Representations, Iclr 2015 Workshop Track Proceedings, 2015.
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Giryes, R., G. Sapiro, and A. M. Bronstein. “On the stability of deep networks.” In 3rd International Conference on Learning Representations, Iclr 2015 Workshop Track Proceedings, 2015.
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Huang, J., Q. Qiu, G. Sapiro, and R. Calderbank. “Discriminative robust transformation learning.” In Advances in Neural Information Processing Systems, 2015-January:1333–41, 2015.
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Llull, P., X. Yuan, X. Liao, J. Yang, D. Kittle, L. Carin, G. Sapiro, and D. J. Brady. “Temporal compressive sensing for video,” 41–74, 2015. https://doi.org/10.1007/978-3-319-16042-9_2.Full Text
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Qiu, Q., A. Thompson, R. Calderbank, and G. Sapiro. “Data representation using the Weyl transform.” In 3rd International Conference on Learning Representations, Iclr 2015 Workshop Track Proceedings, 2015.
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Qiu, Q., A. Thompson, R. Calderbank, and G. Sapiro. “Data representation using the Weyl transform.” In 3rd International Conference on Learning Representations, Iclr 2015 Workshop Track Proceedings, 2015.
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Qiu, Q., G. Sapiro, and A. Bronstein. “Random forests can hash.” In 3rd International Conference on Learning Representations, Iclr 2015 Workshop Track Proceedings, 2015.
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Qiu, Q., Z. Chang, M. Draelos, J. Chen, A. Bronstein, and G. Sapiro. “Low-cost Gaze and Pulse Analysis using RealSense.” In Proceedings of the 5th Eai International Conference on Wireless Mobile Communication and Healthcare, 276–79. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2015.
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Tepper, M., and G. Sapiro. “From local to global communities in large networks through consensus.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9423:659–66, 2015. https://doi.org/10.1007/978-3-319-25751-8_79.Full Text
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Kim, J., Y. Duchin, H. Kim, J. Vitek, N. Harel, and G. Sapiro. “Robust prediction of clinical deep brain stimulation target structures via the estimation of influential high-field MR atlases.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9350:587–94, 2015. https://doi.org/10.1007/978-3-319-24571-3_70.Full Text
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Yuan, X., P. Llull, X. Liao, J. Yang, D. J. Brady, G. Sapiro, and L. Carin. “Low-cost compressive sensing for color video and depth.” In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 3318–25, 2014. https://doi.org/10.1109/CVPR.2014.424.Full Text
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Yoo, T. S., B. C. Lowekamp, O. Kuybeda, K. Narayan, G. A. Frank, A. Bartesaghi, M. Borgnia, S. Subramaniam, G. Sapiro, and M. J. Ackerman. “Accelerating discovery in 3D microanalysis: Leveraging open source software and deskside high performance computing.” In Microscopy and Microanalysis, 20:774–75, 2014. https://doi.org/10.1017/S1431927614005595.Full Text
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Qiu, Q., and G. Sapiro. “Learning Transformations.” In 2014 Ieee International Conference on Image Processing, Icip 2014, 4008–12, 2014. https://doi.org/10.1109/ICIP.2014.7025814.Full Text
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Qiu, Q., and G. Sapiro. “Learning compressed image classification features.” In 2014 Ieee International Conference on Image Processing, Icip 2014, 5761–65, 2014. https://doi.org/10.1109/ICIP.2014.7026165.Full Text
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Tepper, M., and G. Sapiro. “Intersecting 2D lines: A simple method for detecting vanishing points.” In 2014 Ieee International Conference on Image Processing, Icip 2014, 1056–60, 2014. https://doi.org/10.1109/ICIP.2014.7025210.Full Text
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Dennis, E. L., L. Zhan, N. Jahanshad, B. A. Mueller, Y. Jin, C. Lenglet, E. Yacoub, et al. “Rich club analysis of structural brain connectivity at 7 tesla versus 3 tesla.” In Mathematics and Visualization, 0:209–18, 2014. https://doi.org/10.1007/978-3-319-02475-2_19.Full Text
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Masci, J., A. M. Bronstein, M. M. Bronstein, P. Sprechmann, and G. Sapiro. “Sparse similarity-preserving hashing.” In 2nd International Conference on Learning Representations, Iclr 2014 Conference Track Proceedings, 2014.
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Masci, J., A. M. Bronstein, M. M. Bronstein, P. Sprechmann, and G. Sapiro. “Sparse similarity-preserving hashing.” In 2nd International Conference on Learning Representations, Iclr 2014 Conference Track Proceedings, 2014.
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Qiu, Q., and G. Sapiro. “Learning transformations for classification forests.” In 2nd International Conference on Learning Representations, Iclr 2014 Conference Track Proceedings, 2014.
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Fedkiw, R., J. M. Morel, G. Sapiro, C. W. Shu, and W. Yin. “The work of Stanley Osher.” In Proceeding of the International Congress of Mathematicans, Icm 2014, 1:90–113, 2014.
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Llull, P., X. Liao, X. Yuan, J. Yang, D. Kittle, L. Carin, G. Sapiro, and D. J. Brady. “Compressive sensing for video using a passive coding element.” In Optics Infobase Conference Papers, 2013. https://doi.org/10.1364/cosi.2013.cm1c.3.Full Text
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Yakar, T. B., R. Litman, P. Sprechmann, A. Bronstein, and G. Sapiro. “Bilevel sparse models for polyphonic music transcription.” In Proceedings of the 14th International Society for Music Information Retrieval Conference, Ismir 2013, 65–70, 2013.
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Frank, Gabriel A., Oleg Kuybeda, Alberto Bartesaghi, Mario J. Borgnia, Guillermo Sapiro, and Sriram Subramaniam. “Computational Separation of Conformational Heterogeneity using Cryo-Electron Tomography and 3D Sub-Volume Averaging.” In Biophysical Journal, 104:350a-351a. Elsevier BV, 2013. https://doi.org/10.1016/j.bpj.2012.11.1947.Full Text
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Harris, Audray K., Joel R. Meyerson, Yumiko Matsuoka, Oleg Kuybeda, Amy Moran, Donald Bliss, Suman R. Das, et al. “Molecular Structures of Native HA Trimers on 2009 H1N1 Pandemic Influenza Virus Complexed with Neutralizing Antibodies.” In Biophysical Journal, 104:414a-414a. Elsevier BV, 2013. https://doi.org/10.1016/j.bpj.2012.11.2310.Full Text
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Tang, Zhongwei, Mariano Tepper, and Guillermo Sapiro. “Reflective Symmetry Detection by Rectifying Randomized Correspondences.” In Procedings of the British Machine Vision Conference 2013. British Machine Vision Association, 2013. https://doi.org/10.5244/c.27.115.Full Text
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Castrodad, A., T. Khuon, R. Rand, and G. Sapiro. “Sparse modeling for hyperspectral imagery with LiDAR data fusion for subpixel mapping.” In International Geoscience and Remote Sensing Symposium (Igarss), 7275–78, 2012. https://doi.org/10.1109/IGARSS.2012.6351982.Full Text
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Fasching, J., N. Walczak, R. Sivalingam, K. Cullen, B. Murphy, G. Sapiro, V. Morellas, and N. Papanikolopoulos. “Detecting risk-markers in children in a preschool classroom.” In Ieee International Conference on Intelligent Robots and Systems, 1010–16, 2012. https://doi.org/10.1109/IROS.2012.6385732.Full Text
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Hashemi, J., T. V. Spina, M. Tepper, A. Esler, V. Morellas, N. Papanikolopoulos, and G. Sapiro. “A computer vision approach for the assessment of autism-related behavioral markers.” In 2012 Ieee International Conference on Development and Learning and Epigenetic Robotics, Icdl 2012, 2012. https://doi.org/10.1109/DevLrn.2012.6400865.Full Text
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Sprechmann, P., A. Bronstein, and G. Sapiro. “Real-time online singing voice separation from monaural recordings using robust low-rank modeling.” In Proceedings of the 13th International Society for Music Information Retrieval Conference, Ismir 2012, 67–72, 2012.
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Abosch, Aviva, Noam Harel, Guillermo Sapiro, Yuval Duchin, and Essa Yacoub. “178 Utility of 7T Imaging for Deep Brain Stimulation Surgery.” In Neurosurgery, 71:E569–70. Ovid Technologies (Wolters Kluwer Health), 2012. https://doi.org/10.1227/01.neu.0000417768.55934.bf.Full Text
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Ramírez, Ignacio, and Guillermo Sapiro. “LOw-rank data modeling via the minimum description length principle.” In Icassp, 2165–68. IEEE, 2012.
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Zhou, T., H. Shan, A. Banerjee, and G. Sapiro. “Kernelized probabilistic matrix factorization: Exploiting graphs and side information.” In Proceedings of the 12th Siam International Conference on Data Mining, Sdm 2012, 403–14, 2012. https://doi.org/10.1137/1.9781611972825.35.Full Text
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Léger, Flavien, Guoshen Yu, and Guillermo Sapiro. “Efficient matrix completion with Gaussian models.” In Icassp, 1113–16. IEEE, 2011.
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Sprechmann, Pablo, Ignacio Ramírez, Pablo Cancela, and Guillermo Sapiro. “Collaborative sources identification in mixed signals via hierarchical sparse modeling.” In Icassp, 5816–19. IEEE, 2011.
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Yu, Guoshen, and Guillermo Sapiro. “Statistical compressive sensing of Gaussian mixture models.” In Icassp, 3728–31. IEEE, 2011.
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Sprechmann, Pablo, Ignacio Ramírez, Guillermo Sapiro, and Yonina C. Eldar. “Collaborative hierarchical sparse modeling.” In Ciss, 1–6. IEEE, 2010.
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Shema-Didi, Lilach, Shifra Sela, Ronit Geron, Galina Sapiro, Liora Ore, and Batya Kristal. “The Beneficial Effects of One Year Pomegranate Juice Consumption on Traditional and Nontraditional Risk Factors for Cardiovascular Diseases.” In Free Radical Biology and Medicine, 49:S198–S198. Elsevier BV, 2010. https://doi.org/10.1016/j.freeradbiomed.2010.10.572.Full Text
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Rother, D., and G. Sapiro. “Seeing 3D Objects in a Single 2D Image.” In Proceedings of the Ieee International Conference on Computer Vision, 1819–26, 2009. https://doi.org/10.1109/ICCV.2009.5459405.Full Text
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Bar, Leath, Guillerrno Sapiro, and Guillerrno IEEE. “GENERALIZED NEWTON METHODS FOR ENERGY FORMULATIONS IN IMAGE PROCESSING.” In 2008 Ieee International Conference on Image Processing, Proceedings, 813–16, 2008.Link to Item
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Mairal, Julien, Francis R. Bach, Jean Ponce, Guillermo Sapiro, and Andrew Zisserman. “Supervised Dictionary Learning.” In Nips, edited by Daphne Koller, Dale Schuurmans, Yoshua Bengio, and Léon Bottou, 1033–40. Curran Associates, Inc., 2008.
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Bai, Xue, and Guillermo Sapiro. “Distancecut: Interactive segmentation and matting of images and videos.” In 2007 Ieee International Conference on Image Processing, Vols 1 7, 813–16, 2007.Link to Item
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Bartesaghi, Alberto, Pablo Sprechmann, Gregory Randall, Guillermo Sapiro, and Sriram Subramaniam. “A framework for classification and averaging of 3D tomographic volumes.” In Biophysical Journal, 509A-509A. BIOPHYSICAL SOCIETY, 2007.Link to Item
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Mairal, Julien, Guillermo Sapiro, and Michael Elad. “Multiscale sparse image representation with learned dictionaries.” In 2007 Ieee International Conference on Image Processing, Vols 1 7, 1233-+, 2007.Link to Item
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Patwardhan, Kedar A., Guillermo Sapiro, and Vassilios Morellas. “A graph-based foreground representation and its application in example based people matching in video.” In 2007 Ieee International Conference on Image Processing, Vols 1 7, 2289-+, 2007.Link to Item
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Rother, Diego, Kedar A. Patwardhan, and Guillermo Sapiro. “What Can Casual Walkers Tell Us About A 3D Scene?” In 2007 Ieee 11th International Conference on Computer Vision. IEEE, 2007. https://doi.org/10.1109/iccv.2007.4409082.Full Text
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Haro, G., G. Randall, and G. Sapiro. “Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds.” In Nips 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems, 553–60, 2006.
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Bartesaghi, A., and G. Sapiro. “Tracking of moving objects under severe and total occlusions.” In 2005 International Conference on Image Processing (Icip), Vols 1 5, 249–52. IEEE, 2005.Link to Item
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Patwardhan, K. A., G. Sapiro, and M. Bertalmio. “Video inpainting of occluding and occluded objects.” In 2005 International Conference on Image Processing (Icip), Vols 1 5, 1593–96, 2005.Link to Item
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Sapiro, G. “Inpainting the colors.” In 2005 International Conference on Image Processing (Icip), Vols 1 5, 1265–68, 2005.Link to Item
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Breen, D., R. Fedkiw, K. Museth, S. Osher, G. Sapiro, and R. Whitaker. “Level set and PDE methods for computer graphics.” In Acm Siggraph 2004 Course Notes, Siggraph 2004, 2004. https://doi.org/10.1145/1103900.1103928.Full Text
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Sole, A., V. Caselles, G. Sapiro, and F. Arandiga. “Morse description and geometric encoding of digital elevation maps.” In Free Boundary Problems: Theory and Applications, 147:303–12, 2004.Link to Item
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Bertalmió, M., G. Sapiro, L. T. Cheng, and S. Osher. “Variational problems and PDEs on implicit surfaces.” In Proceedings Ieee Workshop on Variational and Level Set Methods in Computer Vision, Vlsm 2001, 186–93, 2001. https://doi.org/10.1109/VLSM.2001.938899.Full Text
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Sapiro, G. “Harmonic map flows and image processing.” In Foundations of Computational Mathematics, 284:299–322, 2001.Link to Item
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Betelu, S., G. Sapiro, A. Tannenbaum, and P. J. Giblin. “Noise-resistant affine skeletons of planar curves.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1842:742–54, 2000. https://doi.org/10.1007/3-540-45054-8_48.Full Text
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Giblin, P. J., and G. Sapiro. “Affine versions of the symmetry set.” In Real and Complex Singularities, 412:173–87, 2000.Link to Item
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Bertalmio, M., G. Sapiro, and G. Randall. “Morphing active contours.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1682:46–53, 1999. https://doi.org/10.1007/3-540-48236-9_5.Full Text
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Bertalmio, M., G. Sapiro, and G. Randall. “Region tracking on surfaces deforming via level-sets methods.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1682:330–38, 1999. https://doi.org/10.1007/3-540-48236-9_29.Full Text
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Black, M. J., and G. Sapiro. “Edges as outliers: Anisotropic smoothing using local image statistics.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1682:259–70, 1999. https://doi.org/10.1007/3-540-48236-9_23.Full Text
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Chung, D. H., and G. Sapiro. “A windows-based user friendly system for image analysis with partial differential equations.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1682:453–58, 1999. https://doi.org/10.1007/3-540-48236-9_42.Full Text
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Teo, P. C., G. Sapiro, and B. A. Wandell. “Anisotropic smoothing of posterior probabilities.” In Dynamical Systems, Control, Coding, Computer Vision, 25:419–32, 1999.Link to Item
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Black, M. J., G. Sapiro, D. Marimont, and D. Heeger. “Robust anisotropic diffusion: Connections between robust statistics, line processing, and anisotropic diffusion.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1252:323–26, 1997. https://doi.org/10.1007/3-540-63167-4_27.Full Text
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Black, M. J., G. Sapiro, D. Marimont, and D. Heeger. “Robust anisotropic diffusion: Connections between robust statistics, line processing, and anisotropic diffusion.” In Scale Space Theory in Computer Vision, 1252:323–26, 1997.Link to Item
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Caselles, V., R. Kimmel, G. Sapiro, and C. Sbert. “Three dimensional object modeling via minimal surfaces.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1064:97–106, 1996. https://doi.org/10.1007/bfb0015526.Full Text
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Sapiro, G., and V. Caselles. “An image evolution approach for contrast enhancement.” In Proceedings of Spie the International Society for Optical Engineering, 2567:19–30, 1995. https://doi.org/10.1117/12.218484.Full Text
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Sapiro, G., R. Kimmel, and V. Caselles. “Object detection and measurements in medical images via geodesic deformable contours.” In Proceedings of Spie the International Society for Optical Engineering, 2573:366–78, 1995. https://doi.org/10.1117/12.216429.Full Text
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Sapiro, G., and V. Caselles. “Simultaneous contrast improvement and denoising via diffusion related equations.” In Proceedings of Spie the International Society for Optical Engineering, 2573:342–53, 1995. https://doi.org/10.1117/12.216427.Full Text
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Sapiro, G. “Geometric invariant signatures and flows: Classification and applications in image analysis.” In Proceedings of Spie the International Society for Optical Engineering, 2277:275–87, 1994. https://doi.org/10.1117/12.191890.Full Text
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Sapiro, G., A. Tannenbaum, Y. L. You, and M. Kaveh. “Experiments on geometric image enhancement.” In Proceedings International Conference on Image Processing, Icip, 2:472–76, 1994. https://doi.org/10.1109/ICIP.1994.413615.Full Text
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Sapiro, G., and A. Tannenbaum. “Area and length preserving geometric invariant scale-spaces.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 801 LNCS:449–58, 1994. https://doi.org/10.1007/bfb0028376.Full Text
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SAPIRO, G., and A. M. BRUCKSTEIN. “The ubiquitous ellipse.” In Curves and Surfaces in Geometric Design, 409–18, 1994.Link to Item
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SAPIRO, G., and A. TANNENBAUM. “IMAGE SMOOTHING BASED ON AN AFFINE INVARIANT CURVE FLOW.” In Proceedings of the Twenty Seventh Annual Conference on Information Sciences and Systems, 196–201, 1993.Link to Item
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Sapiro, G., and D. Malah. “Morphological image coding via bit-plane decomposition and a new skeleton representation.” In Proceedings 17th Convention of Electrical and Electronics Engineers in Israel, Eeis 1991, 174–77, 1991. https://doi.org/10.1109/EEIS.1991.217670.Full Text
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SAPIRO, G., and D. MALAH. “A GEOMETRIC SAMPLING THEOREM AND ITS APPLICATION IN MORPHOLOGICAL IMAGE-CODING.” In Digital Signal Processing 91, 410–15, 1991.Link to Item
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Artistic Works & Non-Print Media
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Digital Media
- Autism & Beyond App. Designer. 2015
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Installations
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- Teaching & Mentoring
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Recent Courses
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Advising & Mentoring
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- J. Hashemi, PhD
- A. Simhal, PhD
- C. Tralie, PhD (joint with J. Harer)
- Z. Chang, PhD
- C. Aguerrebere, postdoc
- M. Delbracio, postdoc
- Q. Qiang, postdoc
- M. Tepper, postdoc
- J. Lezama, postdoc
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- Scholarly, Clinical, & Service Activities
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Outreach & Engaged Scholarship
- Bass Connections Team Leader. DukeLine: Peer Mental Health Support for Graduate Students. 2021 - 2022 2021 - 2022
- Bass Connections Team Leader. Peer Coaches: Improving Mental Health Treatment for College Students. 2020 - 2021 2020 - 2021
- Data+ Project Leader. Data+. 2020 2020
- Bass Connections Team Leader. Virtual Avatar Coaches: Improving Mental Health Treatment for College Students with Accessible Peer Support. 2019 - 2020 2019 - 2020
- Bass Connections Faculty Team Leader. Virtual Avatar Coaches: Improving Mental Health Treatment for College Students with Accessible Peer Support. 2018 - 2019 2018 - 2019
- Bass Connections Faculty Team Member. Energy Data Analytics Lab: Energy Infrastructure Map of the World through Satellite Data. 2018 - 2019 2018 - 2019
- Bass Connections Faculty Team Member . Energy Data Analytics Lab: Electricity Access in Developing Countries from Aerial Imagery. August 2017 - May 2018 2017 - 2018
- Bass Connections Faculty Team Member . Energy Data Analytics Lab . August 2016 - May 2017 2016 - 2017
- Bass Connections Faculty Team Member . Energy Data Analytics Lab . August 2015 - May 2016 2015 - 2016
- Bass Connections Faculty Team Member. Machine Society Interfaces. August 2015 - May 2016 2015 - 2016
- Bass Connections Faculty Team Member. The Lives of Things. August 2015 - May 2016 2015 - 2016
- Bass Connections Faculty Team Member . Art, Vision and the Brai. July 2015 - May 2016 2015 - 2016
- Bass Connections Faculty Team Member. Information, Child Mental Health and Society. August 2014 - May 2015 2014 - 2015
- Bass Connections Faculty Team Member. Visualizing Venice. August 2014 - May 2015 2014 - 2015
- Bass Connections Faculty Team Member. Art, Vision and the Brain: Autism and Face Processing. July 2014 - May 2015 2014 - 2015
- Bass Connections Faculty Team Member. The Lives of Things. May 2014 - May 2015 2014 - 2015
- Bass Connections Faculty Team Member. Information, Child Mental Health and Society. August 2013 - May 2014 2013 - 2014
- Bass Connections Faculty Team Member. The Lives of Things. August 2013 - May 2014 2013 - 2014
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