Thomas Pock

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Horst BischofGraz University of TechnologyVerificeret mail på icg.tugraz.at
Antonin ChambolleCEREMADE, CNRS & Université Paris-Dauphine, PSL Research UniversityVerificeret mail på ceremade.dauphine.fr
Daniel CremersTechnical University of MunichVerificeret mail på tum.de
Erich KoblerInstitute for Machine Learning, Johannes Kepler University LinzVerificeret mail på jku.at
Kerstin HammernikNVIDIAVerificeret mail på nvidia.com
Florian KnollFriedrich-Alexander University Erlangen NurembergVerificeret mail på fau.de
Daniel SodicksonChief of Innovation, Department of Radiology, New York University Grossman School of MedicineVerificeret mail på med.nyu.edu
Yunjin ChenVerificeret mail på alibaba-inc.com
Rene RanftlEpic GamesVerificeret mail på epicgames.com
Kristian BrediesUniversity of GrazVerificeret mail på uni-graz.at
Teresa KlatzerPhD Student, University of EdinburghVerificeret mail på sms.ed.ac.uk
Zach ChristopherChalmers University of TechnologyVerificeret mail på chalmers.se
Peter OchsSaarland UniversityVerificeret mail på math.uni-sb.de
Alexander EfflandProfessorVerificeret mail på iam.uni-bonn.de
Karl KunischProfessor für MathematikVerificeret mail på uni-graz.at
Manuel WerlbergerEthonAIVerificeret mail på werlberger.org
Rudolf StollbergerGraz University of TechnologyVerificeret mail på tugraz.at
Patrick KnöbelreiterApplied Scientist at Amazon PrimeAirVerificeret mail på amazon.at
Thomas BroxUniversity of FreiburgVerificeret mail på cs.uni-freiburg.de
Martin UrschlerMedical University GrazVerificeret mail på medunigraz.at

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Thomas Pock

Professor of Computer Science, TU Graz

Verificeret mail på icg.tugraz.at - Startside

Convex optimization Image processing Variational methods Machine learning Computer vision


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
A first-order primal-dual algorithm for convex problems with applications to imaging A Chambolle, T Pock Journal of mathematical imaging and vision 40, 120-145, 2011	5437	2011
A Duality Based Approach for Realtime TV-L ¹ Optical Flow C Zach, T Pock, H Bischof Pattern Recognition: 29th DAGM Symposium, Heidelberg, Germany, September 12 …, 2007	2348	2007
Learning a variational network for reconstruction of accelerated MRI data K Hammernik, T Klatzer, E Kobler, MP Recht, DK Sodickson, T Pock, ... Magnetic resonance in medicine 79 (6), 3055-3071, 2018	1925	2018
Total generalized variation K Bredies, K Kunisch, T Pock SIAM Journal on Imaging Sciences 3 (3), 492-526, 2010	1781	2010
Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration Y Chen, T Pock IEEE transactions on pattern analysis and machine intelligence 39 (6), 1256-1272, 2016	1443	2016
Second order total generalized variation (TGV) for MRI F Knoll, K Bredies, T Pock, R Stollberger Magnetic resonance in medicine 65 (2), 480-491, 2011	731	2011
An introduction to total variation for image analysis A Chambolle, V Caselles, D Cremers, M Novaga, T Pock Theoretical foundations and numerical methods for sparse recovery 9 (263-340 …, 2010	679	2010
An Improved Algorithm for TV-L ¹ Optical Flow A Wedel, T Pock, C Zach, H Bischof, D Cremers Statistical and Geometrical Approaches to Visual Motion Analysis …, 2009	645	2009
An introduction to continuous optimization for imaging A Chambolle, T Pock Acta Numerica 25, 161-319, 2016	577	2016
Diagonal preconditioning for first order primal-dual algorithms in convex optimization T Pock, A Chambolle 2011 International Conference on Computer Vision, 1762-1769, 2011	565	2011
Anisotropic Huber-L1 Optical Flow. M Werlberger, W Trobin, T Pock, A Wedel, D Cremers, H Bischof BMVC 1 (2), 3, 2009	545	2009
On the ergodic convergence rates of a first-order primal–dual algorithm A Chambolle, T Pock Mathematical Programming 159 (1), 253-287, 2016	526	2016
iPiano: Inertial proximal algorithm for nonconvex optimization P Ochs, Y Chen, T Brox, T Pock SIAM Journal on Imaging Sciences 7 (2), 1388-1419, 2014	517	2014
PROST: Parallel robust online simple tracking J Santner, C Leistner, A Saffari, T Pock, H Bischof 2010 IEEE computer society conference on computer vision and pattern …, 2010	507	2010
An inertial forward-backward algorithm for monotone inclusions DA Lorenz, T Pock Journal of Mathematical Imaging and Vision 51, 311-325, 2015	505	2015
An algorithm for minimizing the Mumford-Shah functional T Pock, D Cremers, H Bischof, A Chambolle 2009 IEEE 12th international conference on computer vision, 1133-1140, 2009	503	2009
On learning optimized reaction diffusion processes for effective image restoration Y Chen, W Yu, T Pock IEEE Conference for Computer Vision and Pattern Recognition (CVPR), 2015	386	2015
Point clouds F Leberl, A Irschara, T Pock, P Meixner, M Gruber, S Scholz, A Wiechert Photogrammetric Engineering & Remote Sensing 76 (10), 1123-1134, 2010	377	2010
Deep learning methods for parallel magnetic resonance image reconstruction F Knoll, K Hammernik, C Zhang, S Moeller, T Pock, DK Sodickson, ... IEEE signal processing magazine, 2020	364	2020
A Globally Optimal Algorithm for Robust TV-L¹ Range Image Integration C Zach, T Pock, H Bischof 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007	345	2007

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