Xuezhi Xiang

Papers

Total Citations

187

H-Index

About

Xuezhi Xiang is a leading researcher in computer vision, with a primary focus on motion estimation, scene understanding, and deep learning for visual perception. Their most influential contribution is the comprehensive survey "Optical flow and scene flow estimation: A survey" (2021), which has garnered 187 citations and serves as a foundational reference for researchers exploring dense motion fields and 3D scene flow. This work systematically reviews classical and learning-based methods, bridging gaps between optical flow, scene flow, and their applications in autonomous navigation and video analysis. Xiang’s research has significantly advanced the understanding of how to extract accurate motion information from visual data, impacting fields like robotics and augmented reality. Their work is widely recognized for its clarity and depth, making it essential reading for students and practitioners alike. By synthesizing decades of progress, Xiang has helped shape the trajectory of motion estimation research, establishing themselves as a key voice in the computer vision community.