Jiayi Shui

Papers

Total Citations

H-Index

About

Jiayi Shui is a researcher advancing the field of computer vision, with a primary focus on human target detection and tracking. Her most cited work, "Human Target Detection and Tracking Algorithm Based on Improved YOLOv7" (2023), tackles critical limitations in real-time object detection, particularly in medical and security applications. By enhancing the YOLOv7 architecture, Shui’s algorithm improves detection accuracy for mobile and dynamic human targets—a challenge that remains central to autonomous surveillance and assistive robotics. Though her citation count is currently modest, her contribution addresses a pressing need for more robust, lightweight models in edge-computing environments. Shui’s research sits at the intersection of deep learning optimization and practical deployment, where efficiency and precision must coexist. Her work signals a promising trajectory in refining state-of-the-art detection frameworks for real-world, human-centric tasks. As the demand for intelligent tracking systems grows, Shui’s innovations in YOLO-based methodologies will likely become increasingly influential in shaping safer, more responsive visual AI systems.