Qingwen Zhang

Ph.D. student, School of Electrical Engineering and Computer Science, KTH

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Hi there 👋. Welcome to Qingwen Zhang (张清文)/ Kin Zhang (张聪明) Page. I’m a Ph.D. student at the DIVISION OF ROBOTICS, PERCEPTION AND LEARNING at KTH Royal Institute of Technology, supervised by Prof. Patric Jensfelt and Prof. Olov Andersson. My Ph.D. research interests mainly focus on dynamic awareness in point clouds supported by WASP.

I graduated with an MPhil from the Robotics Institute RAMLAB of Hong Kong University of Science and Technology, supervised by Prof. Ming Liu and Prof. Wei Zhang. My MPhil research interests mainly include planning and imitation learning (IL) in autonomous driving. Because of lab cooperation, I know other aspects, like SLAM, Segmentation, and elevation mapping etc.

I’m also looking for a short internship/visiting position, the visiting fee will be covered by WASP study abroad. If you are interested in my research, please feel free to contact me.

News

Jul 3, 2024 Our SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving paper is accepted by ECCV 2024. The 1st ranking on Argoverse 2 Self-supervised scene flow leaderboard. :sparkles:.
Jun 5, 2024 BeautyMap accepted by RA-L; Hard Cases Detection in Motion Prediction by Vision-Language Foundation Models accepted and presented in IV 2024 :sparkles:.
Apr 18, 2024 Paper accepted by RA-L 2024 “DUFOMap: Efficient Dynamic Awareness Mapping” code available, project page :sparkles:.
Jan 30, 2024 Paper accepted by ICRA 2024 “DeFlow: Decoder of Scene Flow Network in Autonomous Driving” code available. The 1st ranking on Argoverse 2 scene flow leaderboard. :sparkles:.

Selected Publications

* means co-first authors

2024

  1. seflow.png
    ECCV 2024
    SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
    Qingwen Zhang, Yi Yang, Peizheng Li, Olov Andersson, and Patric Jensfelt
    In European Conference on Computer Vision (ECCV), 2024
  2. dufomap.png
    RA-L 2024
    DUFOMap: Efficient Dynamic Awareness Mapping
    Daniel Duberg*, Qingwen Zhang*, MingKai Jia, and Patric Jensfelt
    IEEE Robotics and Automation Letters, 2024
  3. deflow.png
    ICRA 2024
    DeFlow: Decoder of Scene Flow Network in Autonomous Driving
    Qingwen Zhang, Yi Yang, Heng Fang, Ruoyu Geng, and Patric Jensfelt
    In 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024

2023

  1. dynaben.png
    ITSC 2023
    A Dynamic Points Removal Benchmark in Point Cloud Maps
    Qingwen Zhang, Daniel Duberg, Ruoyu Geng, Mingkai Jia, Lujia Wang, and Patric Jensfelt
    In IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023
  2. ndem.png
    RAL 2023
    Real-Time Neural Dense Elevation Mapping for Urban Terrain With Uncertainty Estimations
    Bowen YangQingwen Zhang, Ruoyu Geng, Lujia Wang, and Ming Liu
    IEEE Robotics and Automation Letters, 2023

2022

  1. mmfn.png
    IROS 2022
    MMFN: Multi-Modal-Fusion-Net for End-to-End Driving
    Qingwen Zhang, Mingkai Tang, Ruoyu Geng, Feiyi Chen, Ren Xin, and Lujia Wang
    In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022

Service

  • KTH-RPL GPU Cluster Admin Group Member, Check our cluster-wiki
  • Reviewer for IEEE Robotics and Automation Letters (RA-L)
  • Reviewer for IEEE International Conference on Robotics and Automation (ICRA)
  • Reviewer for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Awards

Bachelor
National Scholarships and First-Class Scholarships for THREE consecutive years
Bachelor
TOP 10 Students for 2020 graduation at Civil Aviation University of China.
Bachelor

2019 Outstanding college students and 2017 Outstanding athletes in Tianjin, China