33 citations · 35 across the 10 of their papers we have counts for
10 papers
De-biasing Skeleton-based Action Recognition with Convex Hull Adaptive Shift
Mengyuan Liu, Yuhang Wen, Yi Zhang +4
Skeleton sequences can represent both individual actions and multi-entity interactions, encompassing human bodies, hands, objects, and robots. Existing approaches to recognize skel…
STAR: Skeletal Token Alignment and Rearrangement for Interaction Recognition
Yuhang Wen, Mengyuan Liu, Zixuan Tang +3
Understanding physical human-robot and human-human interactions is a challenging yet emerging topic in 3D vision. While most existing methods rely on skeleton sequences--effective…
Search Self-play: Pushing the Frontier of Agent Capability without Supervision
Hongliang Lu, Yuhang Wen, Pengyu Cheng +7
Reinforcement learning with verifiable rewards (RLVR) has become the mainstream technique for training LLM agents. However, RLVR highly depends on well-crafted task queries and cor…
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
Yuhang Wen, Mengyuan Liu, Songtao Wu +1
Skeleton-based multi-entity action recognition is a challenging task aiming to identify interactive actions or group activities involving multiple diverse entities. Existing models…
A Survey on Backbones for Deep Video Action Recognition
Zixuan Tang, Youjun Zhao, Yuhang Wen +1
Action recognition is a key technology in building interactive metaverses. With the rapid development of deep learning, methods in action recognition have also achieved great advan…
Explore Human Parsing Modality for Action Recognition
Jinfu Liu, Runwei Ding, Yuhang Wen +4
Multimodal-based action recognition methods have achieved high success using pose and RGB modality. However, skeletons sequences lack appearance depiction and RGB images suffer irr…
Facial Prior Based First Order Motion Model for Micro-expression Generation
Yi Zhang, Youjun Zhao, Yuhang Wen +3
Spotting facial micro-expression from videos finds various potential applications in fields including clinical diagnosis and interrogation, meanwhile this task is still difficult d…
Integrating Human Parsing and Pose Network for Human Action Recognition
Runwei Ding, Yuhang Wen, Jinfu Liu +3
Human skeletons and RGB sequences are both widely-adopted input modalities for human action recognition. However, skeletons lack appearance features and color data suffer large amo…
Interactive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action Recognition
Yuhang Wen, Zixuan Tang, Yunsheng Pang +2
Recognizing interactive action plays an important role in human-robot interaction and collaboration. Previous methods use late fusion and co-attention mechanism to capture interact…
Surfer: Progressive Reasoning with World Models for Robotic Manipulation
Pengzhen Ren, Kaidong Zhang, Hetao Zheng +5
Considering how to make the model accurately understand and follow natural language instructions and perform actions consistent with world knowledge is a key challenge in robot man…