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Peter Ochs
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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
6292014
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
4552014
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
2842011
Higher order motion models and spectral clustering
P Ochs, T Brox
2012 IEEE Conference on Computer Vision and Pattern Recognition, 614-621, 2012
2392012
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
2072015
iPiasco: Inertial proximal algorithm for strongly convex optimization
P Ochs, T Brox, T Pock
Journal of Mathematical Imaging and Vision, 2015
1162015
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
792015
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
762013
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
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
532019
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
512016
Unifying abstract inexact convergence theorems and block coordinate variable metric iPiano
P Ochs
SIAM Journal on Optimization 29 (1), 541-570, 2019
49*2019
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
482020
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
442019
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
402018
Beyond alternating updates for matrix factorization with inertial Bregman proximal gradient algorithms
MC Mukkamala, P Ochs
Advances in Neural Information Processing Systems 32, 2019
232019
Automatic differentiation of some first-order methods in parametric optimization
S Mehmood, P Ochs
International Conference on Artificial Intelligence and Statistics, 1584-1594, 2020
142020
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
142020
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
132016
Robust interactive multi-label segmentation with an advanced edge detector
S Müller, P Ochs, J Weickert, N Graf
Pattern Recognition: 38th German Conference, GCPR 2016, Hannover, Germany …, 2016
122016
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