1 citations · 1 across the 3 of their papers we have counts for
4 papers
Who Remains, What Changes: Identity Anchored Composed Gait Retrieval
Jingchen Fei, Zengbin Wang, Yukun Liu +3
Gait recognition has achieved remarkable progress, yet existing methods remain confined to rigid visual matching and often overlook the potential of natural language instructions f…
StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation Framework
Yiheng Huang, Hui Yang, Chuanchen Luo +5
Thanks to the powerful generative capacity of diffusion models, recent years have witnessed rapid progress in human motion generation. Existing diffusion-based methods employ dispa…
QAGait: Revisit Gait Recognition from a Quality Perspective
Zengbin Wang, Saihui Hou, Man Zhang +5
Gait recognition is a promising biometric method that aims to identify pedestrians from their unique walking patterns. Silhouette modality, renowned for its easy acquisition, simpl…
FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes
Genghao Zhang, Yuxi Wang, Chuanchen Luo +4
Indoor scene generation has attracted significant attention recently as it is crucial for applications of gaming, virtual reality, and interior design. Current indoor scene generat…