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 | 5141 | 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 | 2248 | 2007 |
Total generalized variation K Bredies, K Kunisch, T Pock SIAM Journal on Imaging Sciences 3 (3), 492-526, 2010 | 1707 | 2010 |
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 | 1697 | 2018 |
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 | 1344 | 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 | 693 | 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 | 637 | 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 | 615 | 2009 |
Anisotropic Huber-L1 Optical Flow. M Werlberger, W Trobin, T Pock, A Wedel, D Cremers, H Bischof BMVC 1 (2), 3, 2009 | 540 | 2009 |
Diagonal preconditioning for first order primal-dual algorithms in convex optimization T Pock, A Chambolle 2011 International Conference on Computer Vision, 1762-1769, 2011 | 538 | 2011 |
An introduction to continuous optimization for imaging A Chambolle, T Pock Acta Numerica 25, 161-319, 2016 | 521 | 2016 |
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 | 504 | 2010 |
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 | 492 | 2014 |
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 | 490 | 2009 |
On the ergodic convergence rates of a first-order primal–dual algorithm A Chambolle, T Pock Mathematical Programming 159 (1), 253-287, 2016 | 481 | 2016 |
An inertial forward-backward algorithm for monotone inclusions DA Lorenz, T Pock Journal of Mathematical Imaging and Vision 51, 311-325, 2015 | 467 | 2015 |
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 | 370 | 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 | 369 | 2010 |
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 | 340 | 2007 |
A convex relaxation approach for computing minimal partitions T Pock, A Chambolle, D Cremers, H Bischof 2009 IEEE conference on computer vision and pattern recognition, 810-817, 2009 | 331 | 2009 |