Emanuel Laude
Emanuel Laude
Bestätigte E-Mail-Adresse bei in.tum.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
302016
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
162016
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
6*2018
A nonconvex proximal splitting algorithm under Moreau-Yosida regularization
E Laude, T Wu, D Cremers
arXiv preprint arXiv:1710.06623, 2017
42017
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
22020
Optimization of inf-convolution regularized nonconvex composite problems
E Laude, T Wu, D Cremers
arXiv preprint arXiv:1903.11690, 2019
12019
Bregman Proximal Framework for Deep Linear Neural Networks
MC Mukkamala, F Westerkamp, E Laude, D Cremers, P Ochs
arXiv preprint arXiv:1910.03638, 2019
2019
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, ...
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