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,
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 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.
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 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 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 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
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.