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.

Prof. Fisher Yu

Fisher Yu is an Assistant Professor at ETH Zurich in Switzerland. He obtained his Ph.D. degree from Princeton University and became a postdoctoral researcher at UC Berkeley afterwards. He directs the Visual Intelligence and Systems Group in the Computer Vision Lab.

His goal is to build perceptual systems capable of performing complex tasks in complex environments. His research is at the junction of machine learning, computer vision, and robotics. He currently works on closing the loop between vision and action.

Dr. Christos Sakaridis

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.

Dr. Deng-Ping Fan

Deng-Ping Fan is a Postdoctoral Researcher working with Prof. Luc Van Gool in Computer Vision Lab @ ETH Zurich . His research interest is in Computer Vision, Medical Image Analysis. Specifically, he focuses on Dichotomous Image Segmentation (General Object Segmentation, Camouflaged Object Segmentation, Saliency Detection), Multi-Modal AI, etc. He is a member of the TRACE-Zurich project on automated driving.

He received his Ph.D. degree from Nankai University in 2019 under the supervision of Prof. Ming-Ming Cheng. From 2019 to 2021, he was a research scientist (PI) and team lead of IIAI-CV&Med at the Inception Institute of Artificial Intelligence (IIAI).

Dr. Dengxin Dai

Dengxin Dai is an External Lecturer with the Computer Vision Lab at ETH Zurich. From 2016 to 2021, he was the leader of TRACE-Zurich. His research interests lie in autonomous driving, robust perception in adverse weather and illumination conditions, automotive sensors and computer vision under limited supervision. In 2016, he obtained his PhD in Computer Vision at ETH Zurich.

He has organized a CVPR'19 Workshop on Vision for All Seasons: Bad Weather and Nighttime , and is organizing an ICCV'19 workshop on Autonomous Driving. He has been a program committee member of several major computer vision conferences and received multiple outstanding reviewer awards. He is a guest editor for the IJCV special issue Vision for All Seasons and is an area chair for WACV 2020.

Dr. Alex Liniger

Alex Liniger is an External Lecturer with the Computer Vision Lab at ETH Zurich. From 2019 to 2021, he was a postdoctoral researcher at Computer Vision Lab, working in TRACE-Zurich. 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.

Martin Hahner

Martin Hahner is a PhD Student at the Computer Vision Lab of ETH Zurich, supervised by Prof. Luc Van Gool. His main research interest is scene understanding in adverse weather conditions.

Before joining the Computer Vision Lab in May 2018, he received his BSc in Mathematics at HfT Stuttgart and his MSc in Computer Science at the IT University of Copenhagen. In between those two study programs, he used to work three years in the automotive industry as Software Engineer focusing on Software Testing.

Anton Obukhov

I am a PhD student at the Computer Vision Lab, ETH Zurich, supervised by Professor Luc Van Gool. The focus of my research is on the high-level efficiency of general machine learning techniques: neural network compression, multitask learning, optimization. I received MSc in Computer Science and Applied Mathematics from Moscow State University, the Faculty of Computational Mathematics and Cybernetics in 2008. During the decade of industrial experience between MSc and PhD, I helped NVIDIA build the CUDA ecosystem in the role of Developer Technology Engineer. Later I joined Ubiquiti Networks as a Product Architect to help with the design and development of video products.

Vaishakh Patil

Vaishakh Patil is a PhD Student at the Computer Vision Lab at ETH Zurich, under supervision of Prof. Luc Van Gool. Before joining CVL, He received his M.Sc. in Geodesy and Geo Information Science from Technical University of Berlin in 2017 and Bachelor of Engineering in Information Technology from Goa Engineering College in 2012. He was also a part of M.Tech at Goa University.

He is associated with the TRACE Zurich group for autonomous driving. His main focus is on Depth estimation and Sensor fusion.

Ren Yang

Ren Yang joined the Computer Vision Lab in February 2019. His current research interests include end-to-end learned image/video compression, image/video enhancement and super-resolution and unsupervised video anomaly detection.

Ren received his M.Sc. degree in 2019 at the School of Electronics and Information Engineering, Beihang University, China, and obtained his B.Sc. degree at the same university in 2016. Before joining CVL, Ren also worked as a Research Intern at Microsoft Research on quality enhancement of compressed video.

Jan-Nico Zaech

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 on radio 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 University.

Zhejun Zhang

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.