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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich




Research Interest

My main research interests include semantic image segmentation and image registration. Recently I have mainly focused on developing semantic segmentation methods via probabilistic graphical models (e.g., Conditional Random Fields) and deep learning.

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Short Bio

Csaba Domokos received the M.S. degree in Computer Science, the M.S. degree in Informatics and the M.S. degree in Mathematics from the University of Szeged, Hungary in 2004, 2006 and 2010, respectively. He made his Ph.D. research under the supervision of Prof. Zoltan Kato and received the Ph.D. degree (summa cum laude) from the University of Szeged in 2011. He spent two years (2012-2014) as a Research Fellow in the Learning and Vision Research Group, headed by Prof. Shuicheng Yan, at the National University of Singapore. He worked for a year as a post-doctoral researcher in the Computer Vision and Machine Learning Group, directed by Prof. Christoph H. Lampert at the IST Austria. Since 2015 he is an Alexander von Humboldt Fellow (postdoc) in the Computer Vision Group, directed by Prof. Dr. Daniel Cremers, at the Technical University of Munich.

Please visit my webpage https://sites.google.com/site/cdomokosres/

Rechte Seite

Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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CVPR 2023

We have six papers accepted to CVPR 2023.


NeurIPS 2022

We have two papers accepted to NeurIPS 2022.


WACV 2023

We have two papers accepted at WACV 2023.


Fulbright PULSE podcast on Prof. Cremers went online on Apple Podcasts and Spotify.


MCML Kick-Off

On July 27th, we are organizing the Kick-Off of the Munich Center for Machine Learning in the Bavarian Academy of Sciences.