Benjin ZHU
Computer Vision, Robotics. Here is my CV.

SHB 304, CUHK, Hong Kong SAR, China
Currently, I’m a 3rd-year Ph.D. candidate at 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.
My research interests mainly lies in computer vision and robotics, especially the 3D scene understanding, object detection and self-supervised learning. At present, my main focus is to build a general and efficient framework for 3D object detection and tracking. To facilitate research, I have built and maintained many codebases: a general 3D object detection codebse Det3D, a versatile and efficient codebase for many computer vision tasks named cvpods.
news
Jul 28, 2023 | 1 paper is accepted by ICCV 2023. |
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Mar 21, 2023 |
Release of an Efficient, Flexible, and General deep learning framework for Research EFG that retains minimal. ![]() |
Feb 28, 2023 |
ConQueR is accepted by CVPR 2023, and selected as a Highlight (Top 2.5%). ![]() |
Sep 4, 2022 | MPPNet ranks 1st on WOD 3D Object Detection, and is accepted by ECCV 2022. |
Dec 8, 2020 | A collection of self-supervised methods has been release at SelfSup. |
Oct 8, 2020 | EqCo is available on arXiv. Code. |