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Technical University of Munich

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Book Chapters
2011
[]Convex Relaxation Techniques for Segmentation, Stereo and Multiview Reconstruction (D. Cremers, T. Pock, K. Kolev and A. Chambolle), Chapter in Markov Random Fields for Vision and Image Processing, MIT Press, 2011.  [bibtex] [pdf]
Journal Articles
2014
[]A Super-resolution Framework for High-Accuracy Multiview Reconstruction (B. Goldluecke, M. Aubry, K. Kolev and D. Cremers), In International Journal of Computer Vision, volume 106, 2014.  [bibtex] [pdf]
2012
[]Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images (K. Kolev, T. Brox and D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 34, 2012.  [bibtex] [pdf]
2011
[]A Variational Approach to Vesicle Membrane Reconstruction from Fluorescence Imaging (K. Kolev, N. Kirchgessner, S. Houben, A. Csiszar, W. Rubner, C. Palm, B. Eiben, R. Merkel and D. Cremers), In Pattern Recognition, volume 44, 2011.  [bibtex] [pdf]
[]Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains (D. Cremers and K. Kolev), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 33, 2011.  [bibtex] [pdf]
2009
[]Continuous Global Optimization in Multiview 3D Reconstruction (K. Kolev, M. Klodt, T. Brox and D. Cremers), In International Journal of Computer Vision, volume 84, 2009.  [bibtex] [pdf]
Conference and Workshop Papers
2011
[]Decoupling Photometry and Geometry in Dense Variational Camera Calibration (M. Aubry, K. Kolev, B. Goldluecke and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011.  [bibtex] [pdf]
2010
[]Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo (K. Kolev, T. Pock and D. Cremers), In European Conference on Computer Vision (ECCV), 2010.  [bibtex] [pdf]
2009
[]Continuous Ratio Optimization via Convex Relaxation with Applications to Multiview 3D Reconstruction (K. Kolev and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.  [bibtex] [pdf]
[]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
2008
[]An Experimental Comparison of Discrete and Continuous Shape Optimization Methods (M. Klodt, T. Schoenemann, K. Kolev, M. Schikora and D. Cremers), In European Conference on Computer Vision (ECCV), 2008.  [bibtex] [pdf]
[]Integration of Multiview Stereo and Silhouettes via Convex Functionals on Convex Domains (K. Kolev and D. Cremers), In European Conference on Computer Vision (ECCV), 2008.  [bibtex] [pdf]
2007
[]Continuous Global Optimization in Multiview 3D Reconstruction (K. Kolev, M. Klodt, T. Brox, S. Esedoglu and D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Springer, volume 4679, 2007.  [bibtex] [pdf]
[]Propagated Photoconsistency and Convexity in Variational Multiview 3D Reconstruction (K. Kolev, M. Klodt, T. Brox and D. Cremers), In Workshop on Photometric Analysis for Computer Vision, 2007.  [bibtex] [pdf]
2006
[]Robust variational segmentation of 3D objects from multiple views (K. Kolev, T. Brox and D. Cremers), In Pattern Recognition (Proc. DAGM) (K. Fet al., ed.), Springer, volume 4174, 2006.  [bibtex] [pdf]
PhD Thesis
2012
[]Convexity in Image-Based 3D Surface Reconstruction (K. Kolev), PhD thesis, Department of Computer Science, Technical University Munich, Germany, 2012.  [bibtex] [pdf]
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

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85748 Garching info@vision.in.tum.de

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News

03.04.2022

In April 2022 Jürgen Sturm, Christian Kerl and Daniel Cremers were featured among the top 10 most influential scholars in robotics of the last decade.

31.03.2022

We have open PhD and postdoc positions! To apply, please use our application form.

08.03.2022

We have six papers accepted to CVPR 2022 in New Orleans!

31.01.2022

We have two papers accepted to ICRA 2022 - congrats to Lukas von Stumberg, Qing Cheng and Niclas Zeller!

05.12.2021
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