Wenwei Zhang, 张文蔚

Wenwei Zhang is a final year Ph.D. student at the School of Computer Science and Engineering, Nanyang Technological University, Singapore. He is a member of NTU MMLab, affiliated with the NTU S-Lab, supervised by Professor Chen Change (Cavan) Loy. He also works closely with Jiangmiao Pang and Kai Chen, focusing on object recognition and scene understanding tasks. Before that, he received his bachelor degree at the Computer Science School, Wuhan University. You can find his CV here.

His main works lie in Unified Framework for X, which include unified image, video, and point segmentation, Dense Unsupervised Learning, and robust multi-modality multi-object tracking.

He led the initial release of MMEngine, the core of OpenMMLab 2.0. He built and released MMDetection3D, and has been leading the development of MMDetection and MMDetection3D since 2020, respectively. He has been a core maintainer of OpenMMLab projects since 2019.

Recent News

3 papers (BARON, MV-JAR, and DDQ) are accepted by CVPR2023. (Mar. 2023)

We release OpenMMLab 2.0 with a new core, MMEngine. (Sept. 2022)

DenseSiam is accepted by ECCV 2022. (Jul., 2022)

Video K-Net is accepted by CVPR 2022 (oral). (May., 2022)

K-Net is accepted by NeurIPS 2021. Code has been released at here. (Oct., 2021)

MMDet3D team obtains Best PKL Award and best vision-only results in the 3rd nuScenes detection challenge of 5th AI Driving Olympics, NeurIPS 2020. Paper of our multi-modality method is released in arxiv. (Dec., 2020)

Second runner up in LVIS2020 Challenge. Paper can be found in arxiv.

We release MMDetection3D, OpenMMLab’s next-generation platform for general 3D object detection. (July, 2020)

One paper is accepted by ECCV 2020 (spotlight). (July, 2020)

Win the 1st prize in COCO 2019 Object Detection Challenge (no external data). (Team: MMDet)

Academic Service

Conference Reviewer: CVPR2020-2023, ICCV2021-2023, ECCV2020-2022, ICLR2022-2023, NeurIPS2021-2022, ICML2023, ACM MM2020.

Committee member and speaker of OpenMMLab Tutorials in CVPR 2021/2022, and AAAI2023