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Peter Ochs
Titlu
Citat de
Citat de
Anul
Segmentation of moving objects by long term video analysis
P Ochs, J Malik, T Brox
Transactions on Pattern Analysis and Machine Intelligence 36 (6), 1187 - 1200, 2014
7302014
ipiano: Inertial proximal algorithm for non-convex optimization
P Ochs, Y Chen, T Brox, T Pock
SIAM Journal on Imaging Sciences (SIIMS) 7 (2), 1388--1419, 2014
5182014
Object segmentation in video: a hierarchical variational approach for turning point trajectories into dense regions
P Ochs, T Brox
2011 international conference on computer vision, 1583-1590, 2011
2932011
Higher order motion models and spectral clustering
P Ochs, T Brox
2012 IEEE Conference on computer vision and pattern recognition, 614-621, 2012
2452012
On iteratively reweighted Algorithms for Non-smooth Non-convex Optimization in Computer Vision
P Ochs, A Dosovitskiy, T Brox, T Pock
SIAM Journal on Imaging Sciences (SIIMS) 8 (1), 331–372, 2015
2432015
iPiasco: Inertial proximal algorithm for strongly convex optimization
P Ochs, T Brox, T Pock
Journal of Mathematical Imaging and Vision, 2015
1352015
Bilevel optimization with nonsmooth lower level problems
P Ochs, R Ranftl, T Brox, T Pock
Scale Space and Variational Methods in Computer Vision: 5th International …, 2015
932015
An iterated l1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision
P Ochs, A Dosovitskiy, T Brox, T Pock
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
792013
On quasi-Newton forward-backward splitting: proximal calculus and convergence
S Becker, J Fadili, P Ochs
SIAM Journal on Optimization 29 (4), 2445-2481, 2019
642019
Techniques for gradient-based bilevel optimization with non-smooth lower level problems
P Ochs, R Ranftl, T Brox, T Pock
Journal of Mathematical Imaging and Vision 56, 175-194, 2016
612016
Convex-concave backtracking for inertial Bregman proximal gradient algorithms in nonconvex optimization
MC Mukkamala, P Ochs, T Pock, S Sabach
SIAM Journal on Mathematics of Data Science 2 (3), 658-682, 2020
602020
Multiview deblurring for 3-D images from light-sheet-based fluorescence microscopy
M Temerinac-Ott, O Ronneberger, P Ochs, W Driever, T Brox, H Burkhardt
IEEE Transactions on Image Processing 21 (4), 1863-1873, 2011
602011
Local convergence of the heavy-ball method and ipiano for non-convex optimization
P Ochs
Journal of Optimization Theory and Applications 177 (1), 153-180, 2018
592018
Unifying abstract inexact convergence theorems and block coordinate variable metric iPiano
P Ochs
SIAM Journal on Optimization 29 (1), 541-570, 2019
57*2019
Non-smooth non-convex Bregman minimization: Unification and new algorithms
P Ochs, J Fadili, T Brox
Journal of Optimization Theory and Applications 181 (1), 244-278, 2019
512019
Beyond alternating updates for matrix factorization with inertial Bregman proximal gradient algorithms
MC Mukkamala, P Ochs
Advances in Neural Information Processing Systems 32, 2019
302019
Automatic differentiation of some first-order methods in parametric optimization
S Mehmood, P Ochs
International Conference on Artificial Intelligence and Statistics, 1584-1594, 2020
262020
Bregman proximal mappings and Bregman–Moreau envelopes under relative prox-regularity
E Laude, P Ochs, D Cremers
Journal of Optimization Theory and Applications 184, 724-761, 2020
202020
FSI schemes: fast semi-iterative solvers for PDEs and optimisation methods
D Hafner, P Ochs, J Weickert, M Reißel, S Grewenig
Pattern Recognition: 38th German Conference, GCPR 2016, Hannover, Germany …, 2016
172016
Adaptive FISTA for nonconvex optimization
P Ochs, T Pock
SIAM Journal on Optimization 29 (4), 2482-2503, 2019
16*2019
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