| 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 | 787 | 2014 |
| 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 | 574 | 2014 |
| 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 | 297 | 2011 |
| 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 | 261 | 2015 |
| Higher order motion models and spectral clustering P Ochs, T Brox 2012 IEEE Conference on computer vision and pattern recognition, 614-621, 2012 | 248 | 2012 |
| iPiasco: Inertial proximal algorithm for strongly convex optimization P Ochs, T Brox, T Pock Journal of Mathematical Imaging and Vision, 2015 | 149 | 2015 |
| Bilevel optimization with nonsmooth lower level problems P Ochs, R Ranftl, T Brox, T Pock International Conference on Scale Space and Variational Methods in Computer …, 2015 | 100 | 2015 |
| 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 | 82 | 2013 |
| 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 | 76 | 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 | 71 | 2020 |
| 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 (2), 175-194, 2016 | 68 | 2016 |
| 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 | 66 | 2018 |
| Unifying abstract inexact convergence theorems and block coordinate variable metric iPiano P Ochs SIAM Journal on Optimization 29 (1), 541-570, 2019 | 65* | 2019 |
| 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 | 59 | 2011 |
| 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 | 55 | 2019 |
| Beyond alternating updates for matrix factorization with inertial Bregman proximal gradient algorithms MC Mukkamala, P Ochs Advances in Neural Information Processing Systems 32, 2019 | 37 | 2019 |
| Automatic differentiation of some first-order methods in parametric optimization S Mehmood, P Ochs International Conference on Artificial Intelligence and Statistics, 1584-1594, 2020 | 32 | 2020 |
| 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 | 25 | 2020 |
| Adaptive FISTA for nonconvex optimization P Ochs, T Pock SIAM Journal on Optimization 29 (4), 2482-2503, 2019 | 21 | 2019 |
| FSI schemes: fast semi-iterative solvers for PDEs and optimisation methods D Hafner, P Ochs, J Weickert, M Reißel, S Grewenig German Conference on Pattern Recognition, 91-102, 2016 | 17 | 2016 |
Thomas BroxUniversity of FreiburgVerified email at cs.uni-freiburg.de
