Department of Computer Science
The University of Hong Kong
My research interest is computer vision in 2D and 3D. I did some works about instance-level detection and self/semi/weak-supervised learning. I developed a few well-known computer vision algorithms including PolarMask, which was selected as CVPR 2020 Top-10 Influential Papers. I co-developed OpenSelfSup(1k+ star), a popular self-supervised learning framework.