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

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

Follow us on:



CVPR 2023

We have six papers accepted to CVPR 2023.


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.