Department of Electronic Engineering, The Chinese University of Hong Kong
Shatin, Hong Kong SAR, China
Currently, I’m a Ph.D. student in the MMLab @ The Chinese University of Hong Kong, supervised by Prof. Hongsheng Li and Prof. Xiaogang Wang. I got my B.Eng. degree from Software Engineering College (Excellent Engineer Class) of the South China University of Technology (one of the “Project 985” of China) in July 2018.
Before joining MMLab, I was a full-time researcher at the BaseDetection Team of MEGVII Technology, focusing on computer vision (e.g., object detection, classification, unsupervised learning, and 3D scene understanding). At MEGVII, I was mentored by Zeming Li and previously by Dr. Gang Yu, under the supervision of Dr. Jian Sun. Many thanks to the amazing days and people at MEGVII!
My research interests mainly lies in computer vision and robotics, especially the 3D scene understanding, object detection and self-supervised learning. Apart from research, I have built and maintained many codebases for research. Make research more systematic is also exciting.
In my spare time, I like to travel and take photos of the beautiful world. I have an American Shorthair cat named PiPi and a Munchkin cat named BoBo.
|Dec 8, 2020||A collection of self-supervised methods has been release at SelfSup.|
|Oct 8, 2020||EqCo is available on arXiv.|
|Jul 8, 2020||The multi task computer vision toolkit cvpods is released! Stay tuned for updates!!!|
|Jul 7, 2020||AutoAssign is available on arXiv.|
|Aug 8, 2019||World’s first general 3D object detection codebase Det3D is released!|
|Jun 15, 2019||We win the nuScenes 3D object Detection challenge of WAD, CVPR 2019, by a large margin.|
|Feb 18, 2019||I join MEGVII Research!|
|Jan 10, 2019||My work - the LiDAR sensing demo at Horizon is demonstrated on CES 2019.|
|Jun 30, 2018||I graduate with B.E. in Software Engineering (Excellent Engineer Class), SCUT.|
arXivEqCo: Equivalent Rules for Self-supervised Contrastive LearningIn submission. 2020
arXivAutoAssign: Differentiable Label Assignment for Dense Object DetectionIn submission. 2020