Xinchao Wei
Papers
1
Total Citations
6
H-Index
1
About
Xinchao Wei is a researcher specializing in computer vision and edge computing, with a particular focus on multi-human pose estimation in challenging environments. His major contribution lies in advancing infrared-based pose estimation, addressing the limitations of RGB-based systems in low-light and adverse weather conditions. Wei’s most-cited work, "InfPose: Real-Time Infrared Multi-Human Pose Estimation for Edge Devices Based on Encoder-Decoder CNN Architecture" (2023, 6 citations), introduces a novel encoder-decoder CNN architecture that enables efficient, real-time pose estimation on resource-constrained edge devices. This work is notable for bridging the gap between infrared imaging and practical deployment, offering a robust solution for nighttime and smoggy scenarios where traditional RGB methods fail. By prioritizing computational efficiency without sacrificing accuracy, Wei’s research has implications for surveillance, autonomous systems, and human-computer interaction. His work demonstrates a keen understanding of real-world constraints, making him a promising voice in the field of efficient, application-driven computer vision.
Research Focus
Key Achievements
Top Papers
- 1