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

Technical University of Munich

Menu

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
2018
Proximal Backpropagation (T. Frerix, T. Möllenhoff, M. Moeller, D. Cremers), In International Conference on Learning Representations (ICLR), 2018.(arXiv:1706.04638, code) [bib]
Combinatorial Preconditioners for Proximal Algorithms on Graphs (T. Möllenhoff, Z. Ye, T. Wu, D. Cremers), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018. [bib] [pdf]
Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading (B. Haefner, Y. Quéau, T. Möllenhoff, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.([supp] [code] [cvf][video]) [bib] [pdf] [video]Spotlight Presentation
2017
Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems (T. Möllenhoff, D. Cremers), In International Conference on Computer Vision (ICCV), 2017.([supp]) [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]
Powered by bibtexbrowser
Export as PDF or BIB

Rechte Seite

Informatik IX
Chair for Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching

info@vision.in.tum.de