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

Technical University of Munich

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Informatik IX
Computer Vision Group

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

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News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

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

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.

Rechte Seite

Informatik IX
Computer Vision Group

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

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More