Feng Tian

Journal article Engineering Applications of Artificial Intelligence · June 15, 2026 As an effective global optimization method, differential evolution (DE) often faces limitations in search capability due to its differential mutation strategy and control parameters. To effectively address diverse problems, adaptively adjusting the control ... Full text Cite

An Adaptive Boundary Material Point Method With Surface Particle Reconstruction

Journal article Computer Animation and Virtual Worlds · September 1, 2025 The expression of fine details such as fluid flowing through narrow pipes or split by thin plates poses a significant challenge in simulations involving complex boundary conditions. As a hybrid method, the material point method (MPM), which is widely used ... Full text Cite

Image Inpainting Algorithm Based on Structure-Guided Generative Adversarial Network

Journal article Mathematics · August 1, 2025 To address the challenges of image inpainting in scenarios with extensive or irregular missing regions—particularly detail oversmoothing, structural ambiguity, and textural incoherence—this paper proposes an Image Structure-Guided (ISG) framework that hier ... Full text Cite

A Coordination Optimization Framework for Multi-Agent Reinforcement Learning Based on Reward Redistribution and Experience Reutilization

Journal article Electronics Switzerland · June 1, 2025 Cooperative multi-agent reinforcement learning (MARL) has emerged as a powerful paradigm for addressing complex real-world challenges, including autonomous robot control, strategic decision-making, and decentralized coordination in unmanned swarm systems. ... Full text Cite

An autonomous differential evolution based on reinforcement learning for cooperative countermeasures of unmanned aerial vehicles

Journal article Applied Soft Computing · January 1, 2025 In recent years, reinforcement learning has been used to improve differential evolution algorithms due to its outstanding performance in strategy selection. However, most existing improved algorithms treat the entire population as a single reinforcement le ... Full text Cite

Hypernetwork parameter optimization of QMIX based on differential evolution

Journal article Intelligent Data Analysis · January 1, 2025 Q-value Mixing (QMIX) is a widely used algorithm for multi-agent reinforcement learning. However, multi-agent environments are quite complex and have high-dimensional action and state spaces, which leads to lower exploration efficiency and sparse global re ... Full text Cite

Double Reference Guided Interactive 2D and 3D Caricature Generation

Journal article ACM Transactions on Multimedia Computing Communications and Applications · December 16, 2024 In this article, we propose the first geometry and texture (double) referenced interactive two-dimensional (2D) and 3D caricature generating and editing method. The main challenge of caricature generation lies in the fact that it not only exaggerates the f ... Full text Cite

Analytical C2 Continuous Surface Blending

Journal article Mathematics · October 1, 2024 Surface blending is an important topic in geometric modelling and is widely applied in computer-aided design and creative industries to create smooth transition surfaces. Among various surface blending methods, partial differential equation (PDE)-based sur ... Full text Cite

An adaptive population size based Differential Evolution by mining historical population similarity for path planning of unmanned aerial vehicles

Journal article Information Sciences · May 1, 2024 Various variants have been proposed to improve the search ability and efficiency of Differential Evolution (DE). However, the variants ignore the impact caused by the use of accumulated historical information, resulting in unpromising performance of the se ... Full text Cite

Adaptive and robust fractional gain based interpolatory cubature Kalman filter

Journal article Measurement and Control United Kingdom · April 1, 2024 In this study, we put forward the robust fractional gain based interpolatory cubature Kalman filter (FGBICKF) and the adaptive FGBICKF (AFGBICKF) for the development of the state estimators for stochastic nonlinear dynamics system. FGBICKF introduces a fra ... Full text Cite

A differential evolution with autonomous strategy selection and its application in remote sensing image denoising

Journal article Expert Systems with Applications · March 15, 2024 Differential evolution (DE) is an efficient and effective global optimization algorithm, and many DE variants with adaptive strategy selection have been proposed. However, among the existing DE variants with adaptive strategy selection, only a few last gen ... Full text Cite

AG-YOLO: Attention-guided network for real-time object detection

Journal article Multimedia Tools and Applications · March 1, 2024 Existing neural network models directly add attention mechanisms to the network as a plug-and-play component to capture long-range dependencies and reconstruct feature maps. However, most methods do not fully tap the potential of attention in dealing with ... Full text Cite

An adaptive biogeography-based optimization with integrated covariance matrix learning for robust visual object tracking

Journal article Expert Systems with Applications · December 30, 2023 Biogeography-based optimization (BBO) has gained significant popularity as a population-based metaheuristic optimization algorithm. However, the existing variants of BBO encounter difficulties when tackling complex optimization problems with variable coupl ... Full text Cite

Adaptive Masreliez–Martin fractional interpolatory cubature Kalman filter with recursive noise estimation

Journal article JVC Journal of Vibration and Control · September 1, 2023 In this study, we propose a Masreliez–Martin fractional interpolatory cubature Kalman filter and an adaptive Masreliez–Martin fractional interpolatory cubature Kalman filter to design the estimators for fractional-order discrete-time nonlinear systems unde ... Full text Cite

Ventral-Dorsal Attention Capsule Network for facial expression recognition

Journal article Digital Signal Processing A Review Journal · May 1, 2023 Recent deep learning-based approaches on facial expression recognition face challenges on achieving optimal solution due to ineffective extraction of semantic expression features and difficulty in perceiving the positional relationship among facial express ... Full text Cite

Facial expression recognition based on strong attention mechanism and residual network

Journal article Multimedia Tools and Applications · April 1, 2023 Most facial expression recognition (FER) algorithms are based on shallow features, and the deep networks tend to lose some key features in the expression, such as eyes, nose and mouth. To address the limitations, we present in this paper a novel approach, ... Full text Cite

Foreword to AniNex workshop 2022

Journal article Computers and Graphics Pergamon · April 1, 2023 Full text Cite

An adaptive biogeography-based optimization with cumulative covariance matrix for rule-based network intrusion detection

Journal article Swarm and Evolutionary Computation · December 1, 2022 Biogeography-based optimization (BBO) is a well-known population-based metaheuristic optimization algorithm. The historical population distribution information is so underutilized that the global optimal value may not be searched efficiently in existing va ... Full text Cite

Adaptive Masreliez–Martin Fractional Embedded Cubature Kalman Filter

Journal article Circuits Systems and Signal Processing · November 1, 2022 In this paper, two fractional embedded cubature Kalman filters are proposed. Based on Masreliez–Martin (M–M) method, the first filter named M–M fractional embedded cubature Kalman filter (MMFECKF) increases the robustness of estimation under the situations ... Full text Cite

Robust Fractional Embedded Cubature Kalman Filter for Fractional Nonlinear Stochastic System

Journal article International Journal of Control Automation and Systems · November 1, 2022 In this study, the fractional embedded cubature Kalman filter (FECKF) and robust fractional embedded cubature Kalman filter (RoFECKF) are proposed to design the estimate the states for fractional-order nonlinear discrete systems with Gaussian and non-Gauss ... Full text Cite

An adaptive differential evolution framework based on population feature information

Journal article Information Sciences · August 1, 2022 Differential Evolution (DE) is an effective global optimization algorithm, and many existing adaptive variants of it have been proposed to solve engineering problems. It is well known that population feature information that refers to some mathematical sta ... Full text Cite

Infrared and low-light-level image registration based on neighborhood difference chain code

Journal article Journal of Intelligent and Fuzzy Systems · May 8, 2022 The registration of the infrared (IR) image and the low-light-level (LLL) image remains a challenging problem due to poor dispersion of feature points, low correlation of structure and texture information. In this paper, we propose a method based on neighb ... Full text Cite

Differential Evolution with Autonomous Selection of Mutation Strategies and Control Parameters and Its Application

Journal article Complexity · January 1, 2022 The existing numerous adaptive variants of differential evolution (DE) have been improved the search ability of classic DE to certain extent. Nevertheless, those variants of DE do not obtain the promising performance in solving black box problems with unkn ... Full text Cite

An Improved SAC-IA Algorithm Based on Voxel Nearest Neighbor Search.

Journal article Critical reviews in biomedical engineering · January 2022 To construct a three-dimensional (3D) model of a tooth, multiple charge coupled device (CCD) cameras should be deployed in practice. Each CCD camera captures part of the tooth from a different angle. The images captured by different cameras must be registe ... Full text Cite

An Enhanced Moth-Flame Optimization with Multiple Flame Guidance Mechanism for Parameter Extraction of Photovoltaic Models

Journal article Mathematical Problems in Engineering · January 1, 2022 How to accurately and efficiently extract photovoltaic (PV) model parameters is the primary problem of photovoltaic system optimization. To accurately and efficiently extract the parameters of PV models, an enhanced moth-flame optimization (EMFO) with mult ... Full text Cite

An integrated neural network model for pupil detection and tracking

Journal article Soft Computing · August 1, 2021 The accurate detection and tracking of pupil is important to many applications such as human–computer interaction, driver’s fatigue detection and diagnosis of brain diseases. Existing approaches however face challenges in handing low quality of pupil image ... Full text Cite

Skeleton-Based Parametric 2-D Region Representation: Disk B-Spline Curves.

Journal article IEEE computer graphics and applications · May 2021 The skeleton, or medial axis, is an important attribute of 2-D shapes. The disk B-spline curve (DBSC) is a skeleton-based parametric freeform 2-D region representation, which is defined in the B-spline form. The DBSC describes not only a 2-D region, which ... Full text Cite

Colorization of fusion image of infrared and visible images based on parallel generative adversarial network approach

Journal article Journal of Intelligent and Fuzzy Systems · January 1, 2021 Fusing the infrared (IR) and visible images has many advantages and can be applied to applications such as target detection and recognition. Colors can give more accurate and distinct features, but the low resolution and low contrast of fused images make t ... Full text Cite

Infrared and visible image fusion using two-layer generative adversarial network

Journal article Journal of Intelligent and Fuzzy Systems · January 1, 2021 Infrared (IR) images can distinguish targets from their backgrounds based on difference in thermal radiation, whereas visible images can provide texture details with high spatial resolution. The fusion of the IR and visible images has many advantages and c ... Full text Cite

Interaction design for paediatric emergency VR training

Journal article Virtual Reality and Intelligent Hardware · August 1, 2020 Background: Virtual reality (VR) in healthcare training has increased adoption and support, but efforts are still required to mitigate usability concerns. Methods: This study conducted a usability study of an in-use emergency medicine VR training applicati ... Full text Cite

Affinity matrix with large eigenvalue gap for graph-based subspace clustering and semi-supervised classification

Journal article Engineering Applications of Artificial Intelligence · August 1, 2020 In the graph-based learning method, the data graph or similarity matrix reveals the relationship between data, and reflects similar attributes within a class and differences between classes. Inspired by Davis–Kahan Theorem that the stability of matrix eige ... Full text Cite

Editorial

Journal article Computer Animation and Virtual Worlds · July 1, 2020 Full text Cite

C2 Continuous Blending of Time-Dependent Parametric Surfaces

Journal article Journal of Computing and Information Science in Engineering · December 1, 2019 Surface blending is widely applied in mechanical engineering. Creating a smooth transition surface of C2 continuity between time-dependent parametric surfaces that change their positions and shapes with time is an important and unsolved topic in surface bl ... Full text Cite

Highly efficient facial blendshape animation with analytical dynamic deformations

Journal article Multimedia Tools and Applications · September 30, 2019 Adding physics to facial blendshape animation is an active research topic. Existing physics-based approaches of facial blendshape animation are numerical, so they require special knowledge and skills, additional preprocess, large computer capacity, and exp ... Full text Cite

A level set method for image segmentation based on Bregman divergence and multi-scale local binary fitting

Journal article Multimedia Tools and Applications · August 15, 2019 Image segmentation is an important processing in many applications such as image retrieval and computer vision. The level set method based on local information is one of the most successful models for image segmentation. However, in practice, these models ... Full text Cite

Huber- L1 -based non-isometric surface registration

Journal article Visual Computer · June 1, 2019 Non-isometric surface registration is an important task in computer graphics and computer vision. It, however, remains challenging to deal with noise from scanned data and distortion from transformation. In this paper, we propose a Huber-L1-base ... Full text Cite

Sign correlation subspace for face alignment

Journal article Soft Computing · January 24, 2019 Face alignment is an essential task for facial performance capture and expression analysis. Current methods such as random subspace supervised descent method, stage-wise relational dictionary and coarse-to-fine shape searching can ease multi-pose face alig ... Full text Cite

Diverse Non-Negative Matrix Factorization for Multiview Data Representation.

Journal article IEEE transactions on cybernetics · September 2018 Non-negative matrix factorization (NMF), a method for finding parts-based representation of non-negative data, has shown remarkable competitiveness in data analysis. Given that real-world datasets are often comprised of multiple features or views which des ... Full text Cite

Image segmentation based on multi-region multi-scale local binary fitting and Kullback–Leibler divergence

Journal article Signal Image and Video Processing · July 1, 2018 The inhomogeneity of intensity and the noise of image are the two major obstacles to accurate image segmentation by region-based level set models. To provide a more general solution to these challenges and address the difficulty of image segmentation metho ... Full text Cite

Constrained Low-Rank Representation for Robust Subspace Clustering.

Journal article IEEE transactions on cybernetics · December 2017 Subspace clustering aims to partition the data points drawn from a union of subspaces according to their underlying subspaces. For accurate semisupervised subspace clustering, all data that have a must-link constraint or the same label should be grouped in ... Full text Cite

Graph-regularized concept factorization for multi-view document clustering

Journal article Journal of Visual Communication and Image Representation · October 1, 2017 We propose a novel multi-view document clustering method with the graph-regularized concept factorization (MVCF). MVCF makes full use of multi-view features for more comprehensive understanding of the data and learns weights for each view adaptively. It al ... Full text Cite

Perceptually inspired real-time artistic style transfer for video stream

Journal article Journal of Real Time Image Processing · September 1, 2017 This study presents a real-time texture transfer method for artistic style transfer for video stream. We propose a parallel framework using a T-shaped kernel to enhance the computational performance. With regard to accelerated motion estimation, which is n ... Full text Cite

Interactive illustration of collage for children with folktale e-book

Journal article Journal of Visualization · August 1, 2017 Abstract: It is always challenging to teach children foreign languages, due to the difficulty of learning and their short attention span. To address the challenge and take advantage of the popularity of touchable tablets and smartphones, we propose an educ ... Full text Cite

Active contour driven by multi-scale local binary fitting and Kullback-Leibler divergence for image segmentation

Journal article Multimedia Tools and Applications · April 1, 2017 Image segmentation is an important processing in many applications such as image retrieval and computer vision. One of the most successful models for image segmentation is the level set methods which are based on local context. The methods, though comparat ... Full text Cite

Transition contour synthesis with dynamic patch transitions

Journal article Computers in Entertainment · February 1, 2017 In this article, we present a novel approach formodulating the shape of transitions between terrain materials to produce detailed and varied contours where blend resolution is limited. Whereas texture splatting and blend mapping add detail to transitions a ... Full text Cite

Critical analysis of vendor lock-in and its impact on cloud computing migration: a business perspective

Journal article Journal of Cloud Computing · December 1, 2016 Vendor lock-in is a major barrier to the adoption of cloud computing, due to the lack of standardization. Current solutions and efforts tackling the vendor lock-in problem are predominantly technology-oriented. Limited studies exist to analyse and highligh ... Full text Cite

Foreword to the Special Section on the International Conference on E-Learning and Games 2016 (Edutainment ’16)

Journal article Computers and Graphics Pergamon · December 1, 2016 Full text Cite

Tourists as Mobile Gamers: Gamification for Tourism Marketing

Journal article Journal of Travel and Tourism Marketing · October 12, 2016 ABSTRACT: Gaming as a cutting-edge concept has recently been used by some innovative tourism sectors as a marketing tool and as a method of deeper engagement with visitors. This research aims to explore the gamification trend and its potential for experien ... Full text Cite

Novel correspondence-based approach for consistent human skeleton extraction

Journal article Multimedia Tools and Applications · October 1, 2016 This paper presents a novel base-points-driven shape correspondence (BSC) approach to extract skeletons of articulated objects from 3D mesh shapes. The skeleton extraction based on BSC approach is more accurate than the traditional direct skeleton extracti ... Full text Cite

An analysis of performance in a hierarchical structured vehicular Ad Hoc network

Journal article International Journal of Distributed Sensor Networks · January 1, 2014 With the rapid development of vehicle technology and wireless communication technology, a vehicular ad hoc network (VANET) has come into sight as a vehicular application of the well-known mobile ad hoc networks (MANETs). In this paper, we consider the perf ... Full text Cite

Painterly rendering techniques: A state-of-the-art review of current approaches

Journal article Computer Animation and Virtual Worlds · January 1, 2013 In this publication we will look at the different methods presented over the past few decades which attempt to recreate digital paintings. While previous surveys concentrate on the broader subject of non-photorealistic rendering, the focus of this paper is ... Full text Cite

Reducing location map in prediction-based difference expansion for reversible image data embedding

Journal article Signal Processing · March 1, 2012 In this paper, we present a reversible data embedding scheme based on an adaptive edge-directed prediction for images. It is known that the difference expansion is an efficient data embedding method. Since the expansion on a large difference will cause a s ... Full text Cite

Crowd modeling and simulation technologies

Journal article ACM Transactions on Modeling and Computer Simulation · October 1, 2010 As a collective and highly dynamic social group, the human crowd is a fascinating phenomenon that has been frequently studied by experts from various areas. Recently, computer-based modeling and simulation technologies have emerged to support investigation ... Full text Cite

Style learning with feature-based texture synthesis

Journal article Computers in Entertainment · December 1, 2008 The objective of artistic style learning is to synthesize a new image from a source image with the style learnt from example images. Existing example-based texture synthesis (EBTS) techniques model style with low-level statistical properties. These methods ... Full text Cite

Style-learning with feature-based texture synthesis

Journal article Computers in Entertainment · July 1, 2008 The objective of artistic style learning is to synthesize a new image from a source image with the style learnt from example images. Existing example-based texture synthesis (EBTS) techniques model style with low-level statistical properties. These methods ... Full text Cite

Method for modeling plant root morphology based on ball splines skeleton

Journal article Journal of Information and Computational Science · March 1, 2008 Plant growth modeling is very important in plant nutrition study. Based on the reconstructed 3D images of plant roots, the skeleton points and their radii are extracted by the Mini-crossing Section Algorithm (MCSA). Then the Many-knot Spline method is appl ... Cite

An effective illustrative visualization framework based on photic extremum lines (PELs).

Journal article IEEE transactions on visualization and computer graphics · November 2007 Conveying shape using feature lines is an important visualization tool in visual computing. The existing feature lines (e.g., ridges, valleys, silhouettes, suggestive contours, etc.) are solely determined by local geometry properties (e.g., normals and cur ... Full text Cite

DBSC-based animation enhanced with feature and motion

Journal article Computer Animation and Virtual Worlds · July 1, 2006 Disk B-spline curve (DBSC) is previously proposed for drawing and animation. To generate inbetweens, linear interpolation is applied between points evenly taken in parametric domain of two DBSCs without incorporating characteristics of shape or motion, whi ... Full text Cite

Feature- and region-based auto painting for 2D animation

Journal article Visual Computer · October 1, 2005 This paper presents a novel approach to automating the entire coloring process in traditional cel animation production. A feature-based region-matching algorithm is proposed. It first matches a set of master frames to construct correspondences between regi ... Full text Cite

Computer-assisted coloring by matching line drawings

Journal article Visual Computer · January 1, 2000 An approach to automatically color line drawings based on feature matching is proposed. The motivation is that coloring 2D animation is still a labor-intensive process in current cartoon film production. The objective of our work is to investigate how to a ... Full text Cite

3-D measuring system based on spatial coordinate transformation

Journal article Guangxue Xuebao Acta Optica Sinica · December 1, 1998 Many kinds of 3-D profilometry share the drawbacks of not having enough measuring range (especially for the testing of a big object) and of existing shadow problems. A new approach is proposed, which can fit the measurement of big objects and small ones wi ... Cite

Three-dimensional profilometry using a single mode optical fiber phase-shifting method

Journal article Zhongguo Jiguang Chinese Journal of Lasers · January 1, 1998 A novel three-dimensional profilometric measurement system based on a computer aided image processing technique is presented. This system consists of a single mode optical fiber coupler with phase shifting as the grating projector. A piezoelectric (PZT) cy ... Cite

Research on the laser photoelectronic 3-dimensional displacements measurement system

Journal article Chinese Journal of Lasers B English Edition · August 1, 1997 New and simple methods for measuring 3-D line and angle displacements of rigid body are proposed. Laser diodes (LD) and CMOS image sensors (CIS) are used as light sources and photodetectors, respectively. The experimental results show that the new methods ... Cite

Novel profilometry based grating projection composite

Journal article Guangdianzi Jiguang Journal of Optoelectronics Laser · February 1, 1997 A novel technology for measuring three-dimensional (3-D) profile is proposed. Traditional method of grating projecting exist the problems such as shades and limit of size of objects. The technique can effectively solve the preceding drawbacks by composite ... Cite

Three-dimensional rigid body line displacement and 3D rigid body angle displacement measurements

Journal article Proceedings of SPIE the International Society for Optical Engineering · December 1, 1996 Two new and simple methods for measuring the 3D rigid body line displacements and 3D rigid body angle displacements are proposed. And at the same time, two laser diodes and two new CMOS image sensors are used as light sources and photodetectors, respective ... Cite

Novel profilometry with projecting grating

Journal article Guangxue Xuebao Acta Optica Sinica · October 1, 1996 A novel optical whole-field profilometry was presented. In the optical whole-field profilometry, a new kind of moire fringe projector controlled by computer was used for changing the spatial frequency to adapt the contour of the object to be measured. Besi ... Cite

Novel measurement method for measuring 3-D contour

Journal article Guangdianzi Jiguang Journal of Optoelectronics Laser · June 1, 1996 When a straight-line grating with sinusoidal intensity distribution is projected on an object, the surface height distribution is translated into a phase distribution of the deformed grating. A novel, simple and effective method was put forward to demodula ... Cite