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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 and D. Cremers), In SIAM Journal on Imaging Sciences, volume 8, 2015.  [bibtex] [pdf]
Conference and Workshop Papers
2019
[]Controlling Neural Networks via Energy Dissipation (M. Moeller, T. Möllenhoff and D. Cremers), In International Conference on Computer Vision (ICCV), 2019.  [bibtex] [arXiv:1904.03081]
[]Flat Metric Minimization with Applications in Generative Modeling (T. Möllenhoff and D. Cremers), In International Conference on Machine Learning (ICML), 2019. (arXiv:1905.04730, code, talk) [bibtex]Full Oral Presentation
[]Lifting Vectorial Variational Problems: A Natural Formulation based on Geometric Measure Theory and Discrete Exterior Calculus (T. Möllenhoff and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (arXiv:1905.00851, code, talk) [bibtex] [pdf]Oral Presentation
2018
[]Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading (Haefner, B., Quéau, Y., Möllenhoff, T. and Cremers, D.), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. ([supp] [code] [cvf] [video]) [bibtex] [pdf] [video]Spotlight Presentation
[]Proximal Backpropagation (T. Frerix, T. Möllenhoff, M. Moeller and D. Cremers), In International Conference on Learning Representations (ICLR), 2018. (arXiv:1706.04638, code) [bibtex]
[]Combinatorial Preconditioners for Proximal Algorithms on Graphs (T. Möllenhoff, Z. Ye, T. Wu and D. Cremers), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.  [bibtex] [pdf]
2017
[]Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems (T. Möllenhoff and D. Cremers), In International Conference on Computer Vision (ICCV), 2017. ([supp]) [bibtex] [pdf]
2016
[]Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies (E. Laude, T. Möllenhoff, M. Moeller, J. Lellmann and D. Cremers), In European Conference on Computer Vision (ECCV), 2016. ([supp] [code]) [bibtex] [pdf]
[]Sublabel-Accurate Relaxation of Nonconvex Energies (T. Möllenhoff, E. Laude, M. Moeller, J. Lellmann and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ([supp] [code]) [bibtex] [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 and D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2015.  [bibtex] [pdf]
2013
[]Efficient Convex Optimization for Minimal Partition Problems with Volume Constraints (T. Möllenhoff, C. Nieuwenhuis, E. Toeppe and D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2013.  [bibtex] [pdf]
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