Peizheng Li

Ph.D. student | Machine Learning, Vision, Robotics and Autonomous Driving

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Hey there! This is Peizheng Li, a PhD student with the Scene Understanding Group at Mercedes-Benz R&D, as well as the Explainable Machine Learning Group at University of Tübingen, where I am advised by Prof. Zeynep Akata.

Previously I was a master’s student majoring in Electromobility at the University of Stuttgart, where I completed my research thesis at the Institute of Signal Processing and System Theory, supervised by Prof. Bin Yang. Before that, I received my undergraduate degree in Automotive Studies at Tongji University.

Currently my research interests lie in the intersection of machine learning, robotics and computer vision. In particular, I am interested in extending autonomous driving capability, such as perception, prediction, etc., to real-life open world scenarios.

news

Aug 7, 2023 I will be presenting PowerBEV at ROAD++: The Second Workshop & Challenge on Event Detection for Situation Awareness in Autonomous Driving @ ICCV 2023. Looking forward to meeting you.
Apr 19, 2023 PowerBEV, Our paper on camera-based end-to-end instance prediction in bird’s-eye view, has been accepted to the 32nd International Joint Conference on Artificial Intelligence!

selected publications

2023

  1. powerbev_thumbnail_w_time.gif
    PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird’s-Eye View
    Peizheng LiShuxiao DingXieyuanli ChenNiklas Hanselmann, and 2 more authors
    In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23, Aug 2023
    Main Track