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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich



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).


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

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

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.


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


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


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