Quansen Sun

Nanjing University of Science and Technology

Papers

Total Citations

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About

Quansen Sun is a researcher whose work spans computer vision and intelligent systems, with a particular focus on scene understanding and 3D motion estimation. His 2022 paper "Scale-flow" represents a notable contribution to the field of normalized scene flow (NSF), tackling the challenging problem of estimating 3D motion from paired RGB video frames — a task that simultaneously addresses optical flow and motion-in-depth estimation. This work has meaningful real-world implications, positioning NSF as a powerful tool for action prediction and autonomous robot navigation, areas of growing importance in modern AI and robotics research. With 6 citations already accrued, the work is gaining traction within the research community. Sun's research sits at a compelling intersection of computer vision, depth estimation, and autonomous systems — domains that are increasingly critical as self-driving technologies and intelligent robots become more prevalent. His contributions reflect a commitment to solving fundamental perception challenges that underpin next-generation autonomous systems, and his focus on normalized representations suggests an interest in making scene flow estimation more robust and generalizable across diverse real-world environments.