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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich





This semester I will offer a lecture on "Convex Optimization for Computer Vision".

Also, students are more than welcome to contact me regarding final theses, IDPs, or guided research projects.

Previous lectures:

Research interests

I am interested in mathematical models in image processing and computer vision. My main focus lies on variational methods with non-smooth regularization terms, like the total variation and the ell^1 norm, as well as on efficient algorithms for determining their minimizers. One particular type of approach I am interested in are multi scale methods arising from Bregman iteration and its continuous limit, the inverse scale space flow.

Short Bio

After spending a total time of two years as a visiting researcher at the University of California, Los Angeles, UCLA, during which I worked with Prof. Andrea Bertozzi and Prof. Stanley Osher, I graduated with a doctoral degree in mathematics from the University of Muenster under the mentorship of Prof. Dr. Martin Burger. From September 2012 to March 2014 I worked in the image science group at the Arnold & Richter Cine Technik GmbH & Co. Betriebs KG (ARRI, www.arri.com), Munich, Germany. In April 2014, I returned to academia and joined the Computer Vision Group of Prof. Dr. Daniel Cremers as a Postdoctoral researcher.

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

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In April 2022 Jürgen Sturm, Christian Kerl and Daniel Cremers were featured among the top 10 most influential scholars in robotics of the last decade.


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


We have six papers accepted to CVPR 2022 in New Orleans!


We have two papers accepted to ICRA 2022 - congrats to Lukas von Stumberg, Qing Cheng and Niclas Zeller!