Prof. Luc Van Gool
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.
Dr. Stamatios Georgoulis
Stamatios Georgoulis is a post-doctoral researcher at the CVL group of ETH Zurich, working within the R&D project
"TRACE: Toyota Research on Automated Cars in Europe". His current research interests are in the area of autonomous driving, including image generation, semantic segmentation, and multi-task learning.
Before joining TRACE, he was a doctoral student at the PSI group of KU Leuven, where he received his PhD under the supervision of Prof.
Van Gool and Prof. Tuytelaars, focusing on extracting surface characteristics and lighting from images. Further back, he received his diploma in Electrical and Computer Engineering
from the Aristotle University of Thessaloniki, where he also worked as a student research assistant and participated in Microsoft's Imagine Cup Software Design
Competition with the research project "Epione: An Innovative Pain Management Solution".
He regularly serves as a reviewer in major Machine Learning and Computer Vision conferences (NeurIPS, CVPR, ICCV, etc.) with distinctions.
Dr. Alex Liniger
Alex Liniger is a postdoctoral researcher at the Computer Vision Lab at ETH Zurich, working within the TRACE project (Toyota Research on Automated Cars in Europe). His current research interests lie in the area of autonomous driving and include
end-to-end policy learning, safe decision making, and motion planning for at-limit handling.
Before joining the TRACE project in 2019, he was a member of the Automatic Control Lab at ETH Zurich, where he obtained his PhD under the supervision of Prof. John Lygeros in 2018. His PhD mainly
focused on safe motion and path planning for autonomous cars at the limit of handling (Video explaining his research). However, also included topics such as, game-theoretic planning, learning in
control, optimization-based collision avoidance and the application of these methods.
Before starting his PhD, Alex Liniger received the B.Sc. and M.Sc. degrees in mechanical engineering from the Department of Mechanical and Process Engineering, ETH Zurich, Switzerland, in 2010 and 2013.
Arun Balajee Vasudevan
Arun Balajee Vasudevan is a Ph.D student at the CVL group, ETH Zurich. Before joining in the lab, he received his MSc in Computer Science from EPFL and Bachlors in Electrical Engineering in Indian Institute of Technology Jodhpur.
He is part of the Toyota TRACE project focussing on the driver-car interaction. His research interests are in Natural language understanding, visual-audio perception and navigation.
Christos Sakaridis is a PhD candidate at
Computer Vision Lab,
supervised by Prof. Luc Van Gool.
His broad research fields are Computer Vision and Machine Learning, while his current focus is on
Computer Vision for autonomous cars in adverse conditions, domain adaptation, and segmentation.
Prior to joining Computer Vision Lab, he received his MSc in Computer Science from ETH Zurich in 2016
and his Diploma in Electrical & Computer Engineering
from National Technical University of Athens in 2014,
conducting his Diploma thesis at CVSP Group
under the supervision of Prof. Petros Maragos.
I am a PhD student at the Computer Vision Lab of ETH Zurich, advised by Prof. Luc Van Gool. I received my MsC in Electrical Engineering and Information Technology from ETH, Zurich in 2016 and my BASc in Computer Engineering from the University
of British Columbia, Vancouver in 2014.
I am part of the TRACE Zurich group for autonomous driving. With my main focus being on end-to-end learning for driving, perception, route planning and navigation.
Vaishakh Patil is a PhD Student at the Computer Vision Lab at ETH Zurich
Before joining PhD, He received M.Sc. degree from the TU Berlin, Germany in 2016.
Before joining the Computer Vision Lab in May 2018, Anton Obukhov received his MSc in Computer Science from Moscow State University, the Faculty of Computational Mathematics and Cybernetics in 2008.
During almost a decade of industrial experience, he helped NVIDIA to build CUDA ecosystem in the role of Developer Technology Engineer, and later joined Ubiquiti Networks in the role of Product Architect to help with design and development of
Now, he is doing his PhD in the field of autonomous driving. His main research interests include multitask learning, sensor fusion, and efficiency of machine learning techniques.
Before joining the Computer Vision Lab in May 2018, Martin Hahner received his BSc in Mathematics at HfT Stuttgart and his MSc in Computer Science at the IT University of
In between those two study programs he was working three years in the automotive industry as Software Engineer focusing on Software Testing.
Now, he is doing his PhD in the field of autonomous driving. His main research interests are domain adaptation for semantic image segmentation, in particular synthetic to real images, and the interpretability of deep neural nets.
More recently, his main focus has shifted towards sensor fusion and 3D object detection.
Jan-Nico Zaech is a PhD student at the Computer Vision Lab at ETH Zurich interested in vision for autonomous systems. His research focuses on robust decission making via proactive sensing.
Before joining ETH Zurich, Jan-Nico graduated from Friedrich-Alexander-Universität Erlangen-Nürnberg and has been involved in multiple international research projects. He previously worked
astronomy imaging for the Square Kilometre Array and on algorithms for image guided surgery at the Laboratory for Computational Sensing and Robotics at Johns Hopkins