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Computer Vision Group
Faculty of Informatics
Technical University of Munich

Technical University of Munich

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Journal Articles
2015
The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings (T. Möllenhoff, E. Strekalovskiy, M. Möller, D. Cremers), In SIAM Journal on Imaging Sciences, volume 8, 2015. [bib] [pdf]
Conference and Workshop Papers
2017
Proximal Backpropagation (T. Frerix, T. Möllenhoff, M. Moeller, D. Cremers), In arXiv preprint, 2017. [bib] [pdf]
2016
Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies (E. Laude, T. Möllenhoff, M. Moeller, J. Lellmann, D. Cremers), In European Conference on Computer Vision (ECCV), 2016. ([supp] [code]) [bib] [pdf]
Sublabel-Accurate Relaxation of Nonconvex Energies (T. Möllenhoff, E. Laude, M. Moeller, J. Lellmann, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ([supp] [code]) [bib] [pdf]Oral Presentation, Received the Best Paper Honorable Mention Award at CVPR 2016
2015
Low Rank Priors for Color Image Regularization (T. Möllenhoff, E. Strekalovskiy, M. Möller, D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2015. [bib] [pdf]
2013
Efficient Convex Optimization for Minimal Partition Problems with Volume Constraints (T. Möllenhoff, C. Nieuwenhuis, E. Toeppe, D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2013. [bib] [pdf]
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