Zixian Zhao

Tianjin University of Technology, Imperial College London

Papers

Total Citations

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About

Zixian Zhao is a rising researcher at the intersection of computer vision, privacy-preserving AI, and computer-assisted intervention. His work addresses two critical challenges in intelligent systems: advancing automated surgical analysis and protecting pedestrian privacy in transportation. Zhao’s primary contributions lie in surgical gesture recognition for open surgery—a domain previously neglected in favor of robotic surgery. He pioneered the use of 3D convolutional neural networks (3DCNN) and SlowFast architectures, and further enhanced recognition accuracy by fusing R3D with multi-head attention mechanisms. These innovations, published in 2024, have already garnered 4 and 2 citations respectively, signaling growing interest in his approach. In parallel, Zhao introduced 3PFS (Protecting Pedestrian Privacy Through Face Swapping), a novel method designed to anonymize pedestrians captured by vehicle-mounted cameras in intelligent transportation systems, addressing a pressing privacy concern in the AI era. His work demonstrates a dual commitment to both advancing medical technology and safeguarding individual privacy, marking him as a versatile and impactful contributor to applied AI research.