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cs.CV2025

Gait Recognition via Collaborating Discriminative and Generative Diffusion Models

Haijun Xiong, Bin Feng, Bang Wang +2

Gait recognition offers a non-intrusive biometric solution by identifying individuals through their walking patterns. Although discriminative models have achieved notable success i…

cs.CV2025

CGTGait: Collaborative Graph and Transformer for Gait Emotion Recognition

Junjie Zhou, Haijun Xiong, Junhao Lu +2

Skeleton-based gait emotion recognition has received significant attention due to its wide-ranging applications. However, existing methods primarily focus on extracting spatial and…

cs.CV2025

STP4D: Spatio-Temporal-Prompt Consistent Modeling for Text-to-4D Gaussian Splatting

Yunze Deng, Haijun Xiong, Bin Feng +2

Text-to-4D generation is rapidly developing and widely applied in various scenarios. However, existing methods often fail to incorporate adequate spatio-temporal modeling and promp…

cs.CV2024

Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition

Haijun Xiong, Bin Feng, Xinggang Wang +1

Gait recognition is a biometric technology that distinguishes individuals by their walking patterns. However, previous methods face challenges when accurately extracting identity f…

cs.CV2024

LiCAF: LiDAR-Camera Asymmetric Fusion for Gait Recognition

Yunze Deng, Haijun Xiong, Bin Feng

Gait recognition is a biometric technology that identifies individuals by using walking patterns. Due to the significant achievements of multimodal fusion in gait recognition, we c…