Peter Ochs

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Coauteurs

Thomas BroxProfessor at the University of Freiburg and Amazon ScholarAdresse e-mail validée de cs.uni-freiburg.de
Thomas PockProfessor of Computer Science, TU GrazAdresse e-mail validée de icg.tugraz.at
Jitendra MalikProfessor of EECS, UC BerkeleyAdresse e-mail validée de eecs.berkeley.edu
Alexey DosovitskiyResearch Scientist, Google BrainAdresse e-mail validée de google.com
Yunjin CHENAlibaba CloudAdresse e-mail validée de alibaba-inc.com
Hans BurkhardtProfessor of Computer Science, University of FreiburgAdresse e-mail validée de informatik.uni-freiburg.de
Jalal FadiliCNRS-ENSICAEN-Université CaenAdresse e-mail validée de greyc.ensicaen.fr
Rene RanftlIntel LabsAdresse e-mail validée de intel.com
Mahesh Chandra MukkamalaMathematical Optimization Group, University of TübingenAdresse e-mail validée de math.uni-tuebingen.de
Joachim WeickertProfessor of Mathematics and Computer Science, Saarland UniversityAdresse e-mail validée de mia.uni-saarland.de
Olaf Ronnebergerapl. Prof. for Computer Science, University of Freiburg, GermanyAdresse e-mail validée de cs.uni-freiburg.de
Shoham SabachAssociate ProfessorAdresse e-mail validée de ie.technion.ac.il
Daniel CremersTechnical University of MunichAdresse e-mail validée de tum.de
Emanuel LaudePhD Student, Technical University of MunichAdresse e-mail validée de in.tum.de
Stephen BeckerAssistant Professor at University of ColoradoAdresse e-mail validée de colorado.edu
Kun LiuFacebookAdresse e-mail validée de oculus.com
Naveen Shankar NagarajaSenior Machine Learning Engineer, BMW GroupAdresse e-mail validée de informatik.uni-freiburg.de
Michael MoellerProfessor for Computer Vision, University of Siegen, GermanyAdresse e-mail validée de uni-siegen.de

Peter Ochs

University of Tübingen

Adresse e-mail validée de math.uni-tuebingen.de - Page d'accueil

Convex and Nonconvex Optimization Bilevel optimization Computer Vision Motion Segmentation


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	450	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	310	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	243	2011
Higher order motion models and spectral clustering P Ochs, T Brox 2012 IEEE Conference on Computer Vision and Pattern Recognition, 614-621, 2012	209	2012
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	137	2015
iPiasco: Inertial proximal algorithm for strongly convex optimization P Ochs, T Brox, T Pock Journal of Mathematical Imaging and Vision, 2015	79	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	62	2013
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	49	2015
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	49	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	30	2019
Unifying abstract inexact convergence theorems and block coordinate variable metric iPiano P Ochs SIAM Journal on Optimization 29 (1), 541-570, 2019	25*	2019
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	24	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	20	2018
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	14	2020
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	12	2019
Robust interactive multi-label segmentation with an advanced edge detector S Müller, P Ochs, J Weickert, N Graf German Conference on Pattern Recognition, 117-128, 2016	10	2016
Hierarchy of localized random forests for video annotation NS Nagaraja, P Ochs, K Liu, T Brox Joint DAGM (German Association for Pattern Recognition) and OAGM Symposium …, 2012	10	2012
Beyond alternating updates for matrix factorization with inertial Bregman proximal gradient algorithms MC Mukkamala, P Ochs arXiv preprint arXiv:1905.09050, 2019	8	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	8	2016
Long term motion analysis for object level grouping and nonsmooth optimization methods P Ochs PhD thesis, Albert-Ludwigs-Universität Freiburg, 2015	7	2015

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