Biography

My research interests are mainly in the field of computer vision and robotics, including but not limited to object detection, classification, unsupervised learning, 3D scene understanding, etc.

At present, I’m a researcher at MEGVII(Face++) Research, focusing on computer vision related tasks such as 2D/3D object detection, and unsupervised learning. I’m mentored by Zeming Li and Dr. Gang Yu, under the supervision of of Dr. Jian Sun. More information can be found at CV.

I got my B.E. from Software Engineering College (Distinguished Engineer Program) of South China University of Technology (one of the “Project 985” of China) with the First-Class Honor in July 2018.

The most recent AutoAssign proposes a novel label assignment paradigm for object detection and achieves SOTA(52.1% AP) on MS COCO. More information releated to research can be found at Publications or Google Scholar.

I build the world’s first 3D object detection framework Det3D, and won the 1st place of nuScenes 3D object detection challenge (CVPR 2019). At Megvii Research, I write an efficient and general computer vision toolkit named cvpack2 (cvpods). It supports many computer vision tasks, and is now widely used at MEGVII Research.

Activities

Conference Reviewer: CVPR’21

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