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EdwardLeeLPZ/README.md

🌟 Peizheng Li 🌟

Hey there👋 This is Peizheng Li, a PhD student with the Scene Understanding Group at Mercedes-Benz R&D, as well as the Cognitive Systems Group at University of Tübingen, where I am advised by Prof. Andreas Geiger and Prof. Andreas Zell.

  • 🔭 I’m currently working on Open World Model for Autonomous Driving
  • 🌱 I’m currently learning how to produce high quality research
  • 👯 I'm looking for collaboration in computer vision, LiDAR, autonomous driving, etc.
  • 💬 Ask me about
    • Perception and Prediction
    • Autonomous Driving
    • Un- / Self-supervised Learning
    • Machine Learning / Deep Learning
  • 📫 How to reach me: edwardleelpz.github.io

🛠️ Tech & Tools Preference

💻 Languages

📚 Publications

  1. AGO: Adaptive Grounding for Open World 3D Occupancy Prediction
    Peizheng Li, Shuxiao Ding, You Zhou, Qingwen Zhang, Onat Inak, Larissa Triess, Niklas Hanselmann, Marius Cordts, Andreas Zell
    In International Conference on Computer Vision (ICCV), 2025
  2. SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
    Qingwen Zhang, Yi Yang, Peizheng Li, Olov Andersson, Patric Jensfelt
    In European Conference on Computer Vision (ECCV), 2024
  3. PowerBEV: A Powerful yet Lightweight Framework for Instance Prediction in Bird's-Eye View
    Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Jürgen Gall
    In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI), 2023
  4. TQD-Track: Temporal Query Denoising for 3D Multi-Object Tracking
    Shuxiao Ding, Yutong Yang, Julian Wiederer, Markus Braun, Peizheng Li, Jürgen Gall, Bin Yang
    arXiv preprint arXiv:2504.03258, 2025
  5. FAM-HRI: Foundation-Model Assisted Multi-Modal Human-Robot Interaction Combining Gaze and Speech
    Yuzhi Lai, Shenghai Yuan, Boya Zhang, Benjamin Kiefer, Peizheng Li, Andreas Zell
    arXiv preprint arXiv:2503.16492, 2025

📈 Statistics

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  1. PowerBEV PowerBEV Public

    POWERBEV, a novel and elegant vision-based end-to-end framework that only consists of 2D convolutional layers to perform perception and forecasting of multiple objects in BEVs.

    Python 95 15

  2. AGO AGO Public

    [ICCV 2025] AGO: Adaptive Grounding for Open World 3D Occupancy Prediction

    6