Thomas Möllenhoff
Thomas Möllenhoff
RIKEN Center for Advanced Intelligence Project (AIP), Tokyo, Japan
Verified email at postman.riken.jp - Homepage
Title
Cited by
Cited by
Year
The primal-dual hybrid gradient method for semiconvex splittings
T Möllenhoff, E Strekalovskiy, M Moeller, D Cremers
SIAM Journal on Imaging Sciences 8 (2), 827-857, 2015
462015
Sublabel-accurate relaxation of nonconvex energies
T Möllenhoff, E Laude, M Moeller, J Lellmann, D Cremers
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
432016
Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading
B Haefner, Y Quéau, T Möllenhoff, D Cremers
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
312018
Proximal backpropagation
T Frerix, T Möllenhoff, M Moeller, D Cremers
arXiv preprint arXiv:1706.04638, 2017
292017
Low rank priors for color image regularization
T Möllenhoff, E Strekalovskiy, M Möller, D Cremers
International Workshop on Energy Minimization Methods in Computer Vision and …, 2015
262015
Sublabel-accurate convex relaxation of vectorial multilabel energies
E Laude, T Möllenhoff, M Moeller, J Lellmann, D Cremers
European conference on computer vision, 614-627, 2016
212016
Sublabel-accurate discretization of nonconvex free-discontinuity problems
T Möllenhoff, D Cremers
Proceedings of the IEEE International Conference on Computer Vision, 1183-1191, 2017
112017
Lifting vectorial variational problems: a natural formulation based on geometric measure theory and discrete exterior calculus
T Mollenhoff, D Cremers
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
82019
Controlling neural networks via energy dissipation
M Moeller, T Mollenhoff, D Cremers
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
62019
Combinatorial preconditioners for proximal algorithms on graphs
T Möllenhoff, Z Ye, T Wu, D Cremers
International Conference on Artificial Intelligence and Statistics, 38-47, 2018
62018
Efficient convex optimization for minimal partition problems with volume constraints
T Möllenhoff, C Nieuwenhuis, E Töppe, D Cremers
International Workshop on Energy Minimization Methods in Computer Vision and …, 2013
52013
Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning
Z Ye, T Möllenhoff, T Wu, D Cremers
International Conference on Artificial Intelligence and Statistics, 657-668, 2020
12020
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields
H Bauermeister, E Laude, T Möllenhoff, M Moeller, D Cremers
arXiv preprint arXiv:2107.06028, 2021
2021
Efficient Lifting Methods for Variational Problems
T Möllenhoff
Technische Universität München, 2020
2020
Informative GANs via Structured Regularization of Optimal Transport
P Bréchet, T Wu, T Möllenhoff, D Cremers
arXiv preprint arXiv:1912.02160, 2019
2019
Depth super-resolution from shading
B Haefner, Y Quéau, T Moellenhoff, D Cremers
US Patent App. 16/400,584, 2019
2019
Flat Metric Minimization with Applications in Generative Modeling
T Möllenhoff, D Cremers
International Conference on Machine Learning (ICML), 2019
2019
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