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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

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Brief Bio

Ulrich Schlickewei studied Mathematics and Physics at the University of Freiburg i. Brsg., at the University of Rome "La Sapienza" and at the University of Paris VI. Following his Master's degree in Pure Mathematics from Paris University, Ulrich was a doctoral student at the Department of Mathematics of the University of Bonn under supervision of Prof. Dr. Daniel Huybrechts. In 2009 he received a Ph.D. for a thesis in the field of Complex Algebraic Geometry. Since October 2009, Ulrich has been a postdoctoral research fellow in the Computer Vision Group at the Technical University of Munich headed by Prof. Dr. Daniel Cremers.

Research Interests

My current research mainly focusses on the analysis of three-dimensional shapes. Recently we worked on orientation-preserving, elastic shape matching and on isometry-invariant feature detection.

The goal of shape matching is to register corresponding surface regions of two given three-dimensional shapes. This means for example to identify the hands, the feet and the head of two human figures. Once two shapes are registered, one can infer morphs between them. The video shows examples of such morphs, e.g. interpolating between a samba dancer and a hip hop dancer. In each of these example sequences, a registration of the first and the last shape has been computed, all intermediate frames are obtained by linear interpolation. The colors visualize regions which have been identified with each other.

Please refer to our project page for more information on this.

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

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News

04.06.2021

Bernt Schiele (Max Planck Institute for Informatics) will give a talk in the TUM AI lecture series on June 10th, 3pm! Livestream

05.05.2021
French-German Machine Learning Symposium

French-German Machine Learning Symposium

The French-German Machine Learning Symposium aims to strengthen interactions and inspire collaborations between both countries. We invited some of the leading ML researchers from France and Germany to this two-day symposium to give a glimpse into their research, and engage in discussions on the future of machine learning and how to strengthen research collaborations in ML between France and Germany.

The list of speakers includes Yann LeCun, Cordelia Schmid, Jean-Bernard Lasserre, Bernhard Schölkopf, and many more! For the full program please visit the webpage.

03.05.2021

Ron Kimmel (Technion - Israel Institute of Technology) will give a talk in the TUM AI lecture series on May 6th, 3pm! Livestream

23.04.2021

4Seasons Dataset: We have released a novel dataset for benchmarking multi-weather SLAM in autonomous driving.

19.04.2021

Hao Li (Pinscreen) will give a talk in the TUM AI lecture series on April 22nd, 8pm! Livestream

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