Zhejun Zhang


I am a PhD student advised by Prof. Luc Van Gool at the Computer Vision Lab (CVL) of ETH Zurich. My project is funded by Toyota Research on Automated Cars in Europe (TRACE, TRACE Zurich). Before joining CVL I received my BSc in ITET from TU Munich and my MSc in ITET from ETH Zurich. As master thesis topic I worked on vision-based control and considered that as my research interest since then.

My current research interests include imitation learning, reinforcement learning, world models, neural rendering and their applications to autonomous driving. In particular, I’m trying to tackle the problem of autonomous driving from a data-driven perspective by combining end-to-end policy learning and neural simulation.

selected publications

  1. TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction
    In International Conference on Robotics and Automation (ICRA) 2023
  2. A Multiplicative Value Function for Safe and Efficient Reinforcement Learning
    Nick Bührer, Zhejun ZhangAlexander LinigerFisher Yu, and Luc Van Gool
    Under Review 2023
  3. End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2021