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Computer Vision Group
TUM School of Computation, Information and Technology
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.

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Informatik IX
Computer Vision Group

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

Follow us on:



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.


AI Symposium

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