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Emanuel Laude
Emanuel Laude
Postdoctoral Researcher, KU Leuven, Belgium
Verified email at esat.kuleuven.be
Title
Cited by
Cited by
Year
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
492016
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
252016
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
142020
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
9*2018
Distributed photometric bundle adjustment
N Demmel, M Gao, E Laude, T Wu, D Cremers
2020 International Conference on 3D Vision (3DV), 140-149, 2020
82020
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
82018
Bregman proximal framework for deep linear neural networks
MC Mukkamala, F Westerkamp, E Laude, D Cremers, P Ochs
arXiv preprint arXiv:1910.03638, 2019
62019
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
SIAM Journal on Imaging Sciences 15 (3), 1253-1281, 2022
52022
Optimization of inf-convolution regularized nonconvex composite problems
E Laude, T Wu, D Cremers
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
52019
Lower Envelopes and Lifting for Structured Nonconvex Optimization
E Laude
Technische Universität München, 2021
22021
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
12021
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
12021
Anisotropic Proximal Gradient
E Laude, P Patrinos
arXiv preprint arXiv:2210.15531, 2022
2022
kvm34 schwing
H Bauermeister, E Laude, E Mohamed, A El-Sallab, A MAO
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