Team

Luc Van Gool is a full professor for Computer Vision at ETH Zurich and the KU Leuven. He leads research and teaches at both places.

He has authored over 300 papers. Luc Van Gool has been a program committee member of several, major computer vision conferences (e.g. Program Chair ICCV'05, Beijing, General Chair of ICCV'11, Barcelona, and of ECCV'14, Zurich). His main interests include 3D reconstruction and modeling, object recognition, and autonomous driving.

He received several Best Paper awards (eg. David Marr Prize '98, Best Paper CVPR'07). He was the holder of an ERC Advanced Grant (VarCity). Currently, he leads computer vision research for autonomous driving in the context of the Toyota TRACE labs in Leuven and at ETH.

Christos Sakaridis is a Postdoctoral Researcher at Computer Vision Lab, ETH Zurich. Since 2021, he is the Principal Engineer in TRACE-Zurich, leading the project team in developing computer vision technologies for autonomous cars.

His broad research fields are Computer Vision and Machine Learning. The focus of his research is on high-level visual perception, involving adverse visual conditions, domain adaptation, semantic segmentation, depth estimation, object detection, synthetic data generation, and fusion of multiple sensors including lidar, radar and event cameras, with emphasis on their application to autonomous cars and robots.

Christos obtained his PhD in Electrical Engineering and Information Technology from ETH Zurich in June 2021, working at Computer Vision Lab and supervised by Prof. Luc Van Gool. Prior to joining Computer Vision Lab, he received his MSc in Computer Science from ETH Zurich in 2016 and his Diploma in Electrical and Computer Engineering from National Technical University of Athens in 2014, conducting his Diploma thesis at CVSP Group under the supervision of Prof. Petros Maragos.

Zhejun Zhang joins the Computer Vision Lab in January 2020. His current research interests lie in the area of end-to-end learning for autonomous driving in photo realistic simulation. In particular he's focusing on imitation learning and reinforcement learning methods for vision based urban driving.

Before joining CVL Zhejun received BSc in ITET from TU Munich and MsC in ITET from ETH Zurich. As master thesis topic he worked on vision based control and considered that as his mean research interest since then.

His current research focuses on language driven 3D perception problems within the scope of social perception, in specific, on referral based indoor 3D panoptic segmentation.

Before joining TRACE in 2022, Ozan worked on data efficient LiDAR semantic segmentation for autonomous driving, developing both weakly- and semi-supervised methods to reduce the annotation burden. Before starting his PhD, Ozan received a BSc and MSc from the Department of Electrical Engineering and Information Technology at ETH Zurich.

Luigi is currently a PhD student at ETH Zurich, supervised by Professor Fisher Yu. The topic of his research is 3D perception, with emphasis on monocular images and videos.

Luigi received the BSc in Automation Enngineering from University of Bologna in 2019, while the MSc in Electrical Engineering and Information Technology from ETH Zurich, in 2019 and 2022, respectively. Before joining TRACE in 2022, Luigi worked on Domain Adaptation applied to medical image analysis at IBM Inc., and to human pose estimation at Second Spectrum Inc.

Tim Broedermann is a PhD candidate at ETH Zurich. His current research focuses on multi-sensor scene understanding in adverse weather conditions. Specifically, he works on multi-modal fusion for robust semantic understanding of driving scenes. Before joining the Computer Vision Lab, Tim recieved an MSc in "Robotics, Systems and Control" and a BSc in "Mechanical Engineering" at ETH Zurich.