Hao Yuan

Papers

Total Citations

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About

Hao Yuan is a leading researcher in computer vision, with a primary focus on pedestrian detection and occlusion handling—a critical challenge for autonomous driving, surveillance, and robotics. His most-cited work, the 2020 survey "Survey of pedestrian detection with occlusion" (76 citations), provides a comprehensive taxonomy of occlusion types and systematically reviews state-of-the-art detection methods, from part-based models to deep learning approaches. This survey has become an essential reference for researchers tackling real-world occlusion scenarios where pedestrians are partially hidden. Yuan’s contributions bridge the gap between theoretical detection algorithms and practical deployment in safety-critical systems. By identifying key challenges—such as inter-object occlusion and self-occlusion—and evaluating solutions like multi-scale feature fusion and attention mechanisms, his work has directly influenced subsequent advances in robust pedestrian detection. His research continues to shape the development of more reliable perception systems, making autonomous vehicles and surveillance networks safer and more effective in complex, crowded environments.