Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model
Publication
, Conference
Zhang, L; Dunn, T; Marshall, JD; Ölveczky, BP; Linderman, S
2021
Duke Scholars
Publication Date
2021
Conference Name
Artificial Intelligence and Statistics (AISTATS) 2021
Citation
APA
Chicago
ICMJE
MLA
NLM
Zhang, L., Dunn, T., Marshall, J. D., Ölveczky, B. P., & Linderman, S. (2021). Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model. Presented at the Artificial Intelligence and Statistics (AISTATS) 2021.
Zhang, Libby, Timothy Dunn, Jesse D. Marshall, Bence P. Ölveczky, and Scott Linderman. “Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model,” 2021.
Zhang L, Dunn T, Marshall JD, Ölveczky BP, Linderman S. Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model. In 2021.
Zhang, Libby, et al. Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model. 2021.
Zhang L, Dunn T, Marshall JD, Ölveczky BP, Linderman S. Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model. 2021.
Publication Date
2021
Conference Name
Artificial Intelligence and Statistics (AISTATS) 2021