Yunsheng Pang
Papers
1
Total Citations
29
H-Index
1
About
Yunsheng Pang is a leading researcher in computer vision and human-robot interaction, with a primary focus on skeleton-based action recognition and interactive behavior understanding. His most notable contribution is the development of the Interactive Spatiotemporal Token Attention Network (ISTTAN), a novel framework that addresses the fundamental challenge of recognizing interactive actions between multiple entities. Unlike previous approaches that relied on late fusion or co-attention mechanisms with limited learning capacity, Pang’s work introduces a more efficient and scalable token-based attention architecture that can adapt to varying numbers of interacting agents. This innovation has significant implications for human-robot collaboration, enabling robots to better understand and predict human actions in real-time. His 2023 paper on this topic has already garnered 29 citations, demonstrating its immediate impact on the field. Pang’s research bridges the gap between theoretical advances in spatiotemporal modeling and practical applications in robotics, making him a key figure in the development of more intuitive and responsive human-robot interaction systems.
Research Focus
Key Achievements
Top Papers
- 1