WANG Bing

Assistant Professor @ Faculty of Engineering, The Hong Kong Polytechnic University

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I am an Assistant Professor in Robotics and Autonomous Systems at the Faculty of Engineering, The Hong Kong Polytechnic University (PolyU). Before joining PolyU, I was recognized as a TopMinds (天才少年) by Huawei, where I led a research team in the Optical Product Line and developed advanced solutions for Autonomous Driving and AR-HUD.

I completed my DPhil in Computer Science at the University of Oxford, under the supervision of Prof. Niki Trigoni and Prof. Andrew Markham. Prior to this, I was supervised by Prof. Qingquan Li in Spatial Information.

My research focuses on Spatial Intelligence, a dynamic field where I aim to advance human-level spatial perception and world understanding on mobile robotics platforms such as drones, ground robots and underwater vehicles. My work addresses the critical need for robust and efficient spatial perception solutions that substantially improve the reliability, intelligence, and security of intelligent machines in real-world settings. At the core of my research are four pivotal dimensions: Multi-modal Learning, 3D Reconstruction, Scene Understanding, and Pose Estimation. Discover more about my research on my Projects page.

News

Aug 25, 2024 Several fully funded Postdoc/PhD/RA positions for 3D Vision/Robot Learning are available now. Email me with your CV and transcripts!
Jul 02, 2024 Two papers, Mini-Splatting and Equi-GSPR, have been accepted to ECCV 2024 as a Poster and an Oral, respectively. See you at Milano!
Jun 20, 2024 Our paper LAWS is accepted by ISPRS J!
Jan 16, 2024 Our paper FreeReg is accepted by ICLR 2024!

Selected Publications

  1. ECCV
    Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians
    Guangchi Fang, and Bing Wang
    In The European Conference on Computer Vision, 2024
  2. ECCV
    Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration
    Xueyang Kang, Zhaoliang Luan, Kourosh Khoshelham, and Bing Wang
    In The European Conference on Computer Vision, 2024
    ECCV’24 Oral
  3. ISPRS J
    Look at the Whole Scene: General Point Cloud Place Recognition by Classification Proxy
    Yue Xie, Bing Wang, Haiping Wang, Fuxun Liang, and 3 more authors
    ISPRS Journal of Photogrammetry and Remote Sensing, 2024
  4. TNNLS
    Deep Learning for Visual Localization and Mapping: A Survey
    Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, and 1 more author
    IEEE Transactions on Neural Networks and Learning Systems, 2023
  5. ICLR
    DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images
    Bing Wang, Lu Chen, and Bo Yang
    In The International Conference on Learning Representations, 2023
  6. ICRA
    AutoPlace: Robust Place Recognition with Single-Chip AutomotiveRadar
    Kaiwen Cai, Bing Wang, and Chris Xiaoxuan Lu
    In IEEE International Conference on Robotics and Automation, 2022
  7. Preprint
    RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds
    Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, and 4 more authors
    arXiv, 2022
  8. ICCV
    P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
    Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, and 7 more authors
    In The IEEE/CVF International Conference on Computer Vision, 2021
  9. AAAI
    AtLoc: Attention Guided Camera Localization
    Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, and 2 more authors
    In The AAAI Conference on Artificial Intelligence, 2020
    AAAI’20 Oral