Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich



Export as PDF, XML, TEX or BIB

[]Video Processing and Computational Video (E: D. Cremers, M. Magnor, M. R. Oswald and L. Zelnik-Manor), Springer, volume 7082, 2010.  [bibtex]
Conference and Workshop Papers
[]Entropy Minimization for Convex Relaxation Approaches (M. Souiai, M. R. Oswald, Y. Kee, J. Kim, M. Pollefeys and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2015. (accepted) [bibtex] [pdf]
[]Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction (M. R. Oswald, J. Stühmer and D. Cremers), In European Conference on Computer Vision (ECCV), 2014.  [bibtex] [pdf] [video]
[]Surface Normal Integration for Convex Space-time Multi-view Reconstruction (M. R. Oswald and D. Cremers), In British Machine Vision Conference (BMVC), 2014.  [bibtex] [pdf] [video]
[]Spatial and Temporal Interpolation of Multi-View Image Sequences (T. Gurdan, M. R. Oswald, D. Gurdan and D. Cremers), In German Conference on Pattern Recognition (GCPR), volume 36, 2014.  [bibtex] [pdf] [video]
[]A Convex Relaxation Approach to Space Time Multi-view 3D Reconstruction (M. R. Oswald and D. Cremers), In ICCV Workshop on Dynamic Shape Capture and Analysis (4DMOD), 2013.  [bibtex] [pdf]
[]Fast and Globally Optimal Single View Reconstruction of Curved Objects (M. R. Oswald, E. Toeppe and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.  [bibtex] [pdf]
[]A Survey on Geometry Recovery from a Single Image with Focus on Curved Object Reconstruction (M. R. Oswald, E. Toeppe, C. Nieuwenhuis and D. Cremers), In Proceedings of the 2011 Conference on Innovations for Shape Analysis: Models and Algorithms, Springer-Verlag, 2011.  [bibtex] [pdf]
[]Silhouette-Based Variational Methods for Single View Reconstruction (E. Toeppe, M. R. Oswald, D. Cremers and C. Rother), In Proceedings of the 2010 international conference on Video Processing and Computational Video (D. Cremers, M. A. Magnor, M. R. Oswald, L. Zelnik-Manor, eds.), Springer-Verlag, 2011.  [bibtex] [pdf]
[]Image-based 3D Modeling via Cheeger Sets (E. Toeppe, M. R. Oswald, D. Cremers and C. Rother), In Asian Conference on Computer Vision, 2010.  [bibtex] [pdf]Received Honorable Mention Award
[]Non-Parametric Single View Reconstruction of Curved Objects using Convex Optimization (M. R. Oswald, E. Toeppe, K. Kolev and D. Cremers), In Pattern Recognition (Proc. DAGM), 2009.  [bibtex] [pdf]Received a DAGM Paper Award
Other Publications
[]Conference Report - CVPR 2012 (M. R. Oswald), KI - Künstliche Intelligenz, volume 26, 2012.  [bibtex] [pdf]
[]Reliability Estimation Methods and their Efficient Implementation (M. R. Oswald), Master's thesis, Universidad Tecnica Federico Santa Maria, 2008.  [bibtex] [pdf]
[]Concurrent Stereo Reconstruction (M. R. Oswald), Master's thesis, Technische Universität Dresden, 2007.  [bibtex] [pdf]
Powered by bibtexbrowser
Export as PDF, XML, TEX or BIB

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



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