Longhui Wei
Papers
1
Total Citations
7
H-Index
1
About
Dr. Longhui Wei is a leading researcher in computer vision and affective computing, with a focus on advancing human-robot interaction through emotion understanding. His major contributions include pioneering the task of temporal emotion localization in videos, addressing the critical gap between trimmed video-level emotion classification and real-world, untrimmed video analysis. In his influential 2022 work, "Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos," Dr. Wei introduced a novel framework that integrates dilated context and cross-modal consensus to precisely identify emotional temporal windows. This work has garnered 7 citations, establishing a foundation for subsequent research in dynamic emotion recognition. Dr. Wei’s research is instrumental in enabling intelligent robots to perceive and respond to human emotions in real-time, enhancing the naturalness and effectiveness of human-robot interactions. His innovative approach to combining visual and contextual information continues to inspire new directions in affective computing and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1