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

Christos Sakaridis is a PhD candidate at Computer Vision Lab, ETH Zurich, 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.

Simon Hecker

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

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.

Anton Obukhov

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 video products.

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.

Martin Hahner

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 Copenhagen.

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

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.