Jie Wang(王杰)

I'm a 3rd-year Master student at Beijing Institute of Technology(BIT), advised by Prof.Jianan Li and Prof. Tingfa Xu. I got my B.S. from BIT in 2021.

Email  /  Google Scholar  /  Github  /  CV(2023.9.2)

profile photo
Research

I'm interested in 3D computer vision, including point cloud backbone and robustness model. Feel free to contact me if there is any question on my research.

News

  • 2023-07: One paper is accepted to ICCV 2023.
  • 2022-09: We won 3-rd place in ECCV2022 The 1st Challenge on Point Cloud Robustness under Corruptions: Classification Track.
  • 2022-09: We won 3-rd place in ECCV2022 The 1st Challenge on Point Cloud Robustness under Corruptions: Part Segmentation Track.
  • 2022-09: One paper is accepted to NIPS 2022.
  • 2022-07: One paper is accepted to ECCV 2022.
  • Publications
    (* means equal contribution, means corresponding author )
    APCT: Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions
    Jie Wang, Tingfa Xu, Lihe Ding, Jianan Li

    In Submission


    Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions
    Jie Wang, Lihe Ding, Tingfa Xu, Shaocong Dong, Xinli Xu, Long Bai, Jianan Li
    ICCV, 2023
    paper / code

    PointGL: A Simple Global-Local Framework for Efficient Point Cloud Analysis
    Jianan Li*, Jie Wang*, Shenwang Jiang, Lihe Ding, Shaocong Dong, Xinli Xu, Tingfa Xu
    (co-first author with my advisor)

    In Submission

    PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds
    Jie Wang, Tingfa Xu, Lihe Ding, Ying Wang, Jianan Li
    prepint, 2022
    arXiv / code

    In Submission

    FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-world Point Clouds
    Lihe Ding*, Shaocong Dong*, Tingfa Xu, Xinli Xu, Jie Wang, Jianan Li
    ECCV, 2022   (Oral Presentation)
    paper / code

    MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds
    Shaocong Dong*, Lihe Ding*, Haiyang Wang, Tingfa Xu, Xinli Xu, Ziyang Bian, Ying Wang, Jie Wang, Jianan Li
    NIPS, 2022
    paper / code

    Competition
    dise 3-rd place in ECCV2022 The 1st Challenge on Point Cloud Robustness under Corruptions: Classification Track.
    Jie Wang, Shenwang Jiang, Tingfa Xu, Lihe Ding, Shaocong Dong, Xinli Xu, Peifu Liu, Shengyu Gu, Jianan Li

    dise 3-rd place in ECCV2022 The 1st Challenge on Point Cloud Robustness under Corruptions: Part Segmentation Track.
    Jie Wang, Shenwang Jiang, Tingfa Xu, Lihe Ding, Shaocong Dong, Xinli Xu, Peifu Liu, Shengyu Gu, Jianan Li

    Experiences

    Zhejiang University, Zhejiang, China
    Nov 2022 – Mar 2023

    Research Intern (Remote)

    Honors and Awards

  • 2020 National Encouragement Scholarship, Ministry of Education of P.R. China
  • 2019 National Encouragement Scholarship, Ministry of Education of P.R. China
  • 2018 National Encouragement Scholarship, Ministry of Education of P.R. China
  • Academic Services

  • Conference Reviewer: CVPR, ECCV, ICRA

  • Code stolen from Jon Barron 0v0.