Xueping Su

Papers

Total Citations

H-Index

About

Xueping Su is a leading researcher in computer vision, with a primary focus on pedestrian detection and autonomous safety systems. Her most influential work, the 2020 survey "Survey of pedestrian detection with occlusion," has garnered 76 citations and stands as a critical resource for the field. In this comprehensive review, Su systematically addresses one of the most persistent challenges in real-world detection: occlusion. By categorizing occlusion types and evaluating state-of-the-art solutions, her work provides a foundational roadmap for researchers working on surveillance, autonomous robotic navigation, and automotive safety. Her contributions directly impact the reliability of perception systems in dense, dynamic environments where partial or full occlusion often leads to detection failures. Su’s survey is widely cited for its clarity and practical insights, helping to bridge the gap between academic research and real-world deployment. Her ongoing work continues to push the boundaries of robust object detection, making her a key figure in advancing the safety and efficacy of autonomous systems.