Yunhong Li

Papers

Total Citations

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About

Yunhong Li is a leading researcher in computer vision, with a primary focus on pedestrian detection and autonomous safety systems. Their most influential work, the 2020 survey "Survey of pedestrian detection with occlusion" (76 citations), provides a comprehensive taxonomy of occlusion-handling techniques—a critical challenge for real-world applications in surveillance, autonomous driving, and robotics. By systematically categorizing detection methods, Li has helped bridge the gap between laboratory performance and robust deployment in cluttered environments. This foundational review is widely cited by engineers and academics developing next-generation perception systems. Li’s contributions extend beyond surveys; their research emphasizes practical solutions for partial and heavy occlusion, directly impacting the reliability of autonomous navigation and automotive safety. With a growing citation footprint, Li is recognized as a key voice in advancing pedestrian detection under challenging conditions, making their work essential reading for students and researchers tackling occlusion in vision-based systems.