| Sublabel-accurate relaxation of nonconvex energies T Mollenhoff, E Laude, M Moeller, J Lellmann, D Cremers Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 47 | 2016 |
| 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 | 24 | 2016 |
| Bregman proximal mappings and Bregman–Moreau envelopes under relative prox-regularity E Laude, P Ochs, D Cremers Journal of Optimization Theory and Applications 184 (3), 724-761, 2020 | 10 | 2020 |
| Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs E Laude, JH Lange, J Schüpfer, C Domokos, L Leal-Taixé, FR Schmidt, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 8* | 2018 |
| A nonconvex proximal splitting algorithm under Moreau-Yosida regularization E Laude, T Wu, D Cremers International Conference on Artificial Intelligence and Statistics, 491-499, 2018 | 7 | 2018 |
| Bregman proximal framework for deep linear neural networks MC Mukkamala, F Westerkamp, E Laude, D Cremers, P Ochs arXiv preprint arXiv:1910.03638, 2019 | 6 | 2019 |
| Distributed photometric bundle adjustment N Demmel, M Gao, E Laude, T Wu, D Cremers 2020 International Conference on 3D Vision (3DV), 140-149, 2020 | 4 | 2020 |
| Optimization of inf-convolution regularized nonconvex composite problems E Laude, T Wu, D Cremers The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 4 | 2019 |
| 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 | 2 | 2021 |
| Bregman Proximal Gradient Algorithms for Deep Matrix Factorization MC Mukkamala, F Westerkamp, E Laude, D Cremers, P Ochs International Conference on Scale Space and Variational Methods in Computer …, 2021 | 1 | 2021 |
| Lower Envelopes and Lifting for Structured Nonconvex Optimization E Laude Technische Universität München, 2021 | 1 | 2021 |
| Conjugate dualities for relative smoothness and strong convexity under the light of generalized convexity E Laude, A Themelis, P Patrinos arXiv preprint arXiv:2112.08886, 2021 | | 2021 |
Daniel CremersTechnical University of MunichBestätigte E-Mail-Adresse bei tum.de
