Yongping Guo
Papers
1
Total Citations
30
H-Index
1
About
Yongping Guo is a leading researcher in computer vision and human pose estimation, with a particular focus on advancing thermal imaging technologies. His most cited work, "Identity-Preserved Human Posture Detection in Infrared Thermal Images: A Benchmark" (2022, 30 citations), addresses a critical gap in the field: while most pose estimation systems rely on RGB images, they fail in low-light or privacy-sensitive environments. Guo’s benchmark provides the first comprehensive dataset and evaluation framework for identity-preserved human posture detection in thermal infrared images, enabling robust performance in applications such as human action recognition, AI-powered personal trainers, robotics, motion capture, augmented reality, and video surveillance. This work has been instrumental in expanding the practical utility of pose estimation beyond conventional settings, offering solutions for nighttime monitoring and privacy-compliant systems. Guo’s contributions are shaping the next generation of vision-based human-computer interaction, and his research continues to influence both academic and industrial efforts to make AI systems more adaptable to real-world, challenging conditions.
Research Focus
Key Achievements
Top Papers
- 1