Jiawei He

About Me

I am Jiawei He, a final-year PhD student in BRAVE group of CRIPAC, NLPR, Institute of Automation, Chinese Academy of Sciences, supervised by Prof. Zhaoxiang Zhang. Before this, I got my BS degree from Xi'an Jiaotong University in 2019. During my undergraduate years, I joined X-Plan project and was a research intern at Institute of Artificial Intelligence and Robotics (IAIR) in XJTU from 2017 to 2018.

From 2020 to 2022, I was a research intern at TuSimple, mentored by Zehao Huang and Naiyan Wang, focusing on Multiple Object Tracking and 3D Object Detection.

CV / Google Scholar / GitHub / Research Statement

I am looking for a full-time job in the summer of 2024. Please contact me by email if you have an interest.

Research Interests

I am interested in AI4Science, especially for AI/robotics-supported self-driving labs. I am also interested in computer vision, deep learning, learning-based combinatorial optimization, video analysis, multiple object tracking, 3D perception, reconstruction, etc.

Publications

  • Jiawei He, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang. Learnable Graph Matching: A Practical Paradigm for Data Association. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. [paper] [arXiv] [code][bibtex]

  • Yuqi Wang*, Jiawei He*, Lue Fan*, Hongxin Li*, Yuntao Chen†, Zhaoxiang Zhang†. Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024. [arXiv] [project page] [code]

  • Jiawei He, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang. 2D Supervised Monocular 3D Object Detection by Global-to-Local 3D Reconstruction. (In submission.) [arXiv] [project page]

  • Jiawei He, Lue Fan, Yuqi Wang, Yuntao Chen, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang. Tracking Objects with 3D Representation from Videos. (In submission.) [arXiv]

  • Jiawei He, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang. 3D Video Object Detection with Learnable Object-Centric Global Optimization. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023. [pdf] [arXiv] [code][bibtex]

  • Yingyan Li, Yuntao Chen, Jiawei He, Zhaoxiang Zhang. Densely Constrained Depth Estimator for Monocular 3D Object Detection. In European Conference on Computer Vision (ECCV) 2022. [pdf] [code][bibtex]

  • Jiawei He, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang. Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021. [pdf] [code] [bibtex] [poster] [YouTube] [bilibili]

  • Zhixiong Nan, Yang Feng, Jiawei He, Ping Wei, Linhai Xu, Hongbin Sun, Nanning Zheng. Scene-Guided Region Proposal Re-ranking Method for On-road Vehicle Candidate Generation. In IEEE Intelligent Vehicles Symposium (IV) 2019. [paper] [bibtex]

Presentations

  • Reconstruction-based 3D Perception. In CRIPAC Summer Symposium. July 16, 2023. [Slides]

Professional Services

  • Conference reviewer: ICLR, CVPR, ECCV, ICCV, ACCV
  • Journal reviewer: IJCV, TIP, TNNLS, TCSVT, Information Fusion

Contact Details

Institute of Automation, Chinese Academy of Sciences
95 Zhongguancun East Road, 100190, BEIJING, CHINA

中国科学院自动化研究所
北京市海淀区中关村东路95号
100190

E-mail: [email protected]; [email protected]

Last update: Feb. 27, 2024.