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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

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CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

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Research Interests

Variational Methods, Continuous and Discrete Optimization, Computer Graphics, Mathematics, Statistical Methods

Brief Bio

Eno Töppe studied Computer Science at Bonn University. He received the "Vordiplom" degree in 2006 and the "Diplom" degree in 2008. His master thesis was awarded the price for the best master thesis of the year by the Bonn Society for Computer Science.
Since 2009 he is a Ph.D. student in the Research Group for Computer Vision, Image Processing and Pattern Recognition, Technical University of Munich, Germany, headed by Professor Daniel Cremers. Eno Töppe is supported by Microsoft Research, Cambridge. He is coadvised by Carsten Rother and Andrew Fitzgibbon (MSR Cambridge).

Publications

I am currently working in the following research areas:

3D Reconstruction from a Single Image. Based on a single image the silhouette of the object is extracted. By applying additional constraints e.g. on the volume of the object or the shape along cross sections 3D models can be computed from variational approaches.
Image Segmentation. Theoretical and experimental comparison of discrete and continuous optimization methods for multilabel problems.
Planar Graph Cuts. The PlanarCut library computes a max-flow/min-s-t-cut on planar graphs. It implements an efficient algorithm, which has almost linear running time. The code to the project can be downloaded.

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More