| 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 | 41 | 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 | 19 | 2016 |
| 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 | 7* | 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 | 5 | 2018 |
| 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 | 3 | 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 | 3 | 2019 |
| Bregman proximal framework for deep linear neural networks MC Mukkamala, F Westerkamp, E Laude, D Cremers, P Ochs arXiv preprint arXiv:1910.03638, 2019 | 2 | 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 | | 2020 |
| Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs–Supplementary Material– E Laude, JH Lange, J Schüpfer, C Domokos, L Leal-Taixé, FR Schmidt, ... | | |
Daniel CremersTechnical University of Munichכתובת אימייל מאומתת בדומיין tum.de
