About me

I am a Ph.D. student of MMLab (Multimedia Laboratory), The Chinese University of Hong Kong, supervised by Dahua Lin. Previously I spent four wonderful years and obtained my Bachelor’s Degree at Zhejiang University. I am excited about all the vision or AI technologies that can really change people’s lifestyle, for example, building intelligent agents that can interact with us. My current research is mainly focused on general 3D perception, including different modalities, tasks and scenarios. I am also interested in other 3D vision tasks, such as 3D mesh generation, point cloud completion and general 3D representation learning.



 The Chinese University of Hong Kong (CUHK)
  August 2019 - July 2023 (Expected)
  Ph.D. in Information Engineering
 Zhejiang University (ZJU)
  August 2015 - July 2019
  Major: B.E. in Information Engineering
  Minor: Advanced Honor Class of Engineering Education (ACEE), Chu Kochen Honors College


Vision-Only 3D Detection
 Probabilistic and Geometric Depth: Detecting Objects in Perspective
  Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin
  Conference on Robot Learning (CoRL) 2021
  [Paper] [Code] (To be released) [Bibtex]
 FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
  Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin
  ICCV Workshop on 3D Object Detection from Images (ICCVW) 2021, Best Paper Award
  1st place solution of vision-only methods in the nuScenes 3D detection challenge, NeurIPS 2020
  [Paper] [Code] [Zhihu] [Bibtex]
 SIDE: Center-Based Stereo 3D Detector with Structure-Aware
 Instance Depth Estimation
  Xidong Peng, Xinge Zhu, Tai Wang, Yuexin Ma
  IEEE Winter Conference on Applications of Computer Vision (WACV) 2022
  [Paper] [Bibtex]

Voxel Representation Learning in LiDAR-Based Perception
 Cylindrical and Asymmetrical 3D Convolution Networks for
 LiDAR Segmentation
  Xinge Zhu*, Hui Zhou*, Tai Wang, Fangzhou Hong, Yuexin Ma, Wei Li, Hongsheng Li, Dahua Lin
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021, Oral
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021
  [Paper] [Code] [TPAMI version] [Bibtex]
 Reconfigurable Voxels: A New Representation for LiDAR-Based
 Point Clouds
  Tai Wang, Xinge Zhu, Dahua Lin
  Conference on Robot Learning (CoRL) 2020
  [Paper] [Spotlight Talk] [Bibtex]
 SSN: Shape Signature Networks for Object Detection from
 Point Clouds
  Xinge Zhu, Yuexin Ma, Tai Wang, Yan Xu, Jianping Shi, Dahua Lin,
  European Conference on Computeer Vision (ECCV) 2020
  [Paper] [Code] [Bibtex]

Efficient Annotation of LiDAR Point Clouds
 FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-based
 Point Clouds
  Tai Wang, Conghui He, Zhe Wang, Jianping Shi, Dahua Lin
  ACM Symposium on User Interface Software and Technology (UIST) 2020, Poster
  [Full Tech Report] [Poster] [Poster Summary] [Demo] [Bibtex]

Research Projects

 MMDetection3D: The Next Generation Platform for General 3D detection
  A versatile, open-source 3D object detection toolbox based on PyTorch
  MMDetection3D Contributors
  May 2020 – Now
  [Code] [Doc] [Bibtex]
 Spherical Convolutional Networks for 3D Mesh Processing
  New approaches to generating 3D meshes from scratch with S2 parametrization & extended spherical CNNs
  Tai Wang, Weiwei Zhou and Zicheng Liao
  Under revision and further development
  Mar 2018 – Nov 2018


 Adjunct Researcher, Sensetime & Visiting Scholar, Shanghai AI Laboratory
  July 2020 - June 2021 & July 2021 - Now.  Advisor: Jiangmiao Pang, Kai Chen
  Focus: The next-generation platform for general 3D object detection
 Adjunct Researcher, Sensetime
  Nov. 2019 - June 2020.  Advisor: Conghui He, Zhe Wang, Jianping Shi
  Focus: Efficient annotation of LiDAR point clouds, development of LiDAR perception system
 Junior Research Assistant, The Chinese University of Hong Kong (CUHK)
  Feb. 2019 - May 2020.  Advisor: Dahua Lin
  Focus: Real-time 3D object detection in autonomous driving
 Research Intern, Alibaba-ZJU Joint Institute of Frontier Technologies (AZFT)
  Dec. 2017 - June 2019.  Advisor: Zicheng Liao, Gang Wang. I also worked with Dr. Lechao Cheng.
  Focus: Joint analysis of 2D Images and 3D Shapes with machine learning approaches

Selected Awards

  • 1st place of vision-only track and best PKL award of overall track, NuScenes 3D Detection Challenge, NeurIPS 2020
  • Runner-up of NuScenes LiDAR Segmentation Challenge, NeurIPS 2020
  • Gold Medal of Kaggle Competition (Top 1% of Lyft 3D Detection Challenge), NeurIPS 2019
  • Hong Kong PhD Fellowship (HKPFS), 2019
  • Chu Kochen Scholarship (Highest scholarship at Zhejiang University), 2018
  • Top 10 Students of ZJU (Highest honor for 5 undergraduates/graduates), 2018
  • National Scholarship (1.5%), 2017-2018
  • First Prize in Physics Competition for Undergraduate, 2017


  • Computer Vision (Undergraduate Course), Winter 2018 @ ZJU
  • IERG2080: Introduction to Systems Programming, Fall 2020 @ CUHK
  • IERG2470B/ESTR2308: Probability Models and Applications (Elite Students), Spring 2021 @ CUHK


Academic Services
I served as a reviewer for CVPR, ICCV, ECCV, ICLR, WACV.

Love: 🏀Basketball (I am a big fan of Stephen Curry and Tracy McGrady), 🎵music/🎤singing and good at 🖌️Chinese calligraphy (learned from MA Liangchen and MA Shanshuang).