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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

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Prof. Dr. Daniel Cremers

Professor of Informatics and Mathematics
Chair of Computer Vision & Artificial Intelligence

Technical University of Munich

Department of Informatics
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17755
Fax: +49-89-289-17757
Office: 02.09.054
Mail: cremers@tum.de

Research Interests

Computer vision, machine learning & deep networks, mathematical image analysis (segmentation, motion estimation, multiview reconstruction, visual SLAM), shape analysis, autonomous systems & self-driving cars, variational methods and partial differential equations, convex and combinatorial optimization & statistical inference.

Brief Bio

Daniel Cremers received Bachelor degrees in Mathematics (1994) and Physics (1994), and a Master's degree in Theoretical Physics (1997) from the University of Heidelberg. In 2002 he obtained a PhD in Computer Science from the University of Mannheim, Germany. Subsequently he spent two years as a postdoctoral researcher at the University of California at Los Angeles (UCLA) and one year as a permanent researcher at Siemens Corporate Research in Princeton, NJ. From 2005 until 2009 he was associate professor at the University of Bonn, Germany. Since 2009 he holds the Chair of Computer Vision and Artificial Intelligence at the Technical University of Munich. His publications received several awards, including the 'Best Paper of the Year 2003' (Int. Pattern Recognition Society), the 'Olympus Award 2004' (now called 'German Pattern Recognition Award') and the '2005 UCLA Chancellor's Award for Postdoctoral Research'. For pioneering research he received a Starting Grant (2009), two Proof of Concept Grants (2014 & 2018), a Consolidator Grant (2015) and an Advanced Grant (2020) by the European Research Council. Professor Cremers has served as associate editor for several journals including the International Journal of Computer Vision, the IEEE Transactions on Pattern Analysis and Machine Intelligence and the SIAM Journal of Imaging Sciences. He has served as area chair (associate editor) for ICCV, ECCV, CVPR, ACCV, IROS, etc, and as program chair for ACCV 2014. In 2018 he organized the largest ever European Conference on Computer Vision in Munich with 3300 delegates. He is member of the Bavarian Academy of Sciences and Humanities. He is honorary member of the Dagstuhl Scientific Directorate. In December 2010 he was listed among "Germany's top 40 researchers below 40" (Capital). On March 1st 2016, Prof. Cremers received the Gottfried Wilhelm Leibniz Award, the biggest award in German academia. According to Google Scholar, Prof. Cremers has an h-index of 110 and his papers have been cited 55194 times. According to Guide2Research he is among the most influential computer scientists in Germany. In April 2022, he was listed among the top 10 most influential scholars in robotics of the last decade. He is co-founder of several companies, most recently the high-tech startup Artisense.

Watch his recent TEDx talk on 3D Computer Vision. And public lectures on Machine Intelligence for Self-Driving Cars and in German on Recent Developments in Computer Vision, on Past and Future of Artificial Intelligence, and on Recent Advances in 3D Shape Analysis.

Rechte Seite

Informatik IX
Computer Vision Group

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

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News

17.07.2022

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.

17.07.2022

AI Symposium

On July 22nd 2022, we are organizing a Symposium on AI within the Technology Forum of the Bavarian Academy of Sciences.

05.07.2022

We are organizing a workshop on Map-Based Localization for Autonomous Driving at ECCV 2022, Tel Aviv, Israel.

03.04.2022

In April 2022 Jürgen Sturm and Daniel Cremers were featured among the top 6 most influential scholars in robotics of the last decade.

31.03.2022

We have open PhD and postdoc positions! To apply, please use our application form.

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