Thomas Pock

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Horst BischofGraz University of TechnologyPatvirtintas el. paštas icg.tugraz.at
Antonin ChambolleCEREMADE, CNRS & Université Paris-Dauphine, PSL Research UniversityPatvirtintas el. paštas ceremade.dauphine.fr
Daniel CremersTechnical University of MunichPatvirtintas el. paštas tum.de
Erich KoblerInstitute for Machine Learning, Johannes Kepler University LinzPatvirtintas el. paštas jku.at
Kerstin HammernikNVIDIAPatvirtintas el. paštas nvidia.com
Florian KnollFriedrich-Alexander University Erlangen NurembergPatvirtintas el. paštas fau.de
Daniel SodicksonChief of Innovation, Department of Radiology, New York University Grossman School of MedicinePatvirtintas el. paštas med.nyu.edu
Yunjin ChenPatvirtintas el. paštas alibaba-inc.com
Rene RanftlEpic GamesPatvirtintas el. paštas epicgames.com
Kristian BrediesUniversity of GrazPatvirtintas el. paštas uni-graz.at
Teresa KlatzerPhD Student, University of EdinburghPatvirtintas el. paštas sms.ed.ac.uk
Zach ChristopherChalmers University of TechnologyPatvirtintas el. paštas chalmers.se
Peter OchsSaarland UniversityPatvirtintas el. paštas math.uni-sb.de
Alexander EfflandProfessorPatvirtintas el. paštas iam.uni-bonn.de
Karl KunischProfessor für MathematikPatvirtintas el. paštas uni-graz.at
Manuel WerlbergerEthonAIPatvirtintas el. paštas werlberger.org
Rudolf StollbergerGraz University of TechnologyPatvirtintas el. paštas tugraz.at
Patrick KnöbelreiterApplied Scientist at Amazon PrimeAirPatvirtintas el. paštas amazon.at
Thomas BroxUniversity of FreiburgPatvirtintas el. paštas cs.uni-freiburg.de
Martin UrschlerMedical University GrazPatvirtintas el. paštas medunigraz.at

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Thomas Pock

Professor of Computer Science, TU Graz

Patvirtintas el. paštas icg.tugraz.at - Pagrindinis puslapis

Convex optimization Image processing Variational methods Machine learning Computer vision


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	5448	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	2354	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	1932	2018
Total generalized variation K Bredies, K Kunisch, T Pock SIAM Journal on Imaging Sciences 3 (3), 492-526, 2010	1786	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	1448	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	733	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	681	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	648	2009
An introduction to continuous optimization for imaging A Chambolle, T Pock Acta Numerica 25, 161-319, 2016	578	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	527	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	506	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	504	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	378	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	367	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	346	2007

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