Jie Wang(王杰)

I'm currently a 1st-year Ph.D. student in Beijing Institute of Technology (BIT), advised by Prof. Jianan Li and Prof. Tingfa Xu. I got my M.S. and B.S. from BIT in 2024 and 2021, respectively.

Email  /  Google Scholar  /  Github  /  CV(2024.9.26)

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Research

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

News

  • 2024-09: One paper is accepted to NeurIPS 2024.
  • 2024-07: One paper is accepted to ECCV 2024.
  • 2024-02: One paper is accepted to TMM 2024.
  • 2024-02: One paper is accepted to ICRA 2024.
  • 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 NeurIPS 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†
    NeurIPS, 2024
    paper / code

    		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)
    TMM, 2024
    paper / code

    		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
    		Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken
    Peifu Liu, Tingfa Xu†, Jie Wang, Huan Chen, Huiyan Bai, Jianan Li†
    ECCV, 2024
    paper / code

    		OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery
    Long Bai*, Guankun Wang*, Jie Wang, Xiaoxiao Yang, Huxin Gao, Xin Liang, An Wang, Mobarakol Islam, Hongliang Ren†
    ICRA, 2024   (Oral Presentation)
    paper / code

    		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†
    NeurIPS, 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, NeurIPS, ICLR, ICRA, IROS


    • Code stolen from Jon Barron 0v0.