Jingyu Song

Jingyu Song | ๅฎ‹้–ๅฎ‡ - PhD Candidate @ U-M Robotics

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Monterey Bay, CA, 2024.05

I am a third year PhD candidate at the University of Michigan Robotics Department, working with Prof. Katie Skinner at the Field Robotics Group and the Ford Center for Autonomous Vehicle. Before that, I graduated from the University of Michigan with an M.S. in Electrical and Computer Engineering in 2022, where I worked with Prof. Maani Ghaffari. I obtained my B.E. in Electronics and Electrical Engineering jointly from the University of Electronic Science and Technology of China and the University of Glasgow in 2020.

I was honored to receive the Rackham Predoctoral Fellowship in 2025 and be named a Qualcomm Innovation Fellowship (QIF) Finalist in 2024. I was a research intern at NVIDIA in 2024, a research intern at Bosch Corporate Research in 2020, and an undergraduate research intern at Intel in 2018.

I am interested in the intersection of robotics, computer vision, and deep learning, with a focus on multi-modal perception, state estimation and mapping for 3D scene understanding. I am also interested in the application of these technologies in autonomous driving and field robotics.

news

Apr 03, 2025 Our latest work, OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework, has been released. Excited to see to see itโ€™s featured by NVIDIA, Open Robotics, and many others! Check it out on LinkedIn and X/Twitter!
Mar 24, 2025 I will return to NVIDIA and join the Autonomous Vehicles Applied Research Group led by Dr. Jose M. Alvarez as a research intern in summer 2025! ๐Ÿš—๐Ÿค–
Mar 10, 2025 I was selected to receive the Rackham Predoctoral Fellowship! ๐ŸŽ‰
Feb 28, 2025 I gave a keynote presentation at the 3rd Workshop on Maritime Computer Vision (MaCVi) at WACV 2025 on Scalable Underwater Perception: Building the Foundations for Embodied Marine Autonomy. Check the recording here!
Oct 28, 2024 Our paper MemFusionMap is accepted at WACV 2025! ๐ŸŽ‰
Oct 14, 2024 We present our work ๐Ÿข TURTLMap at IROS 2024! Check our LinkedIn Post!

selected publications

  1. arXiv
    OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework
    Jingyu Song*, Haoyu Ma*, Onur Bagoren, Advaith V Sethuraman, Yiting Zhang, and Katherine A Skinner
    arXiv preprint arXiv:2503.01074, 2025
  2. WACV
    MemFusionMap: Working Memory Fusion for Online Vectorized HD Map Construction
    Jingyu Song, Xudong Chen, Liupei Lu, Jie Li, and Katherine A Skinner
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
  3. IROS
    TURTLMap: Real-time Localization and Dense Mapping of Low-texture Underwater Environments with a Low-cost Unmanned Underwater Vehicle
    Jingyu Song*, Onur Bagoren*, Razan Andigani, Advaith Venkatramanan Sethuraman, and Katherine A. Skinner
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
  4. CVPR
    CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation
    Lingjun Zhao*Jingyu Song*, and Katherine A Skinner
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  5. ICRA
    LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object Detection
    Jingyu Song, Lingjun Zhao, and Katherine A Skinner
    IEEE International Conference on Robotics and Automation (ICRA), 2024