A first-order primal-dual algorithm for convex problems with applications to imaging A Chambolle, T Pock Journal of mathematical imaging and vision 40 (1), 120-145, 2011 | 3600 | 2011 |
A Duality Based Approach for Realtime TV-L1 Optical Flow C Zach, T Pock, H Bischof Joint pattern recognition symposium, 214-223, 2007 | 1491 | 2007 |
Total generalized variation K Bredies, K Kunisch, T Pock SIAM Journal on Imaging Sciences 3 (3), 492-526, 2010 | 1235 | 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 | 636 | 2016 |
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 | 560 | 2018 |
Anisotropic Huber-L1 Optical Flow. M Werlberger, W Trobin, T Pock, A Wedel, D Cremers, H Bischof BMVC 1 (2), 3, 2009 | 485 | 2009 |
An Improved Algorithm for TV-L1 Optical Flow A Wedel, T Pock, C Zach, H Bischof, D Cremers Statistical and geometrical approaches to visual motion analysis, 23-45, 2009 | 481 | 2009 |
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 | 468 | 2010 |
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 | 466 | 2011 |
Diagonal preconditioning for first order primal-dual algorithms in convex optimization T Pock, A Chambolle 2011 International Conference on Computer Vision, 1762-1769, 2011 | 408 | 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 | 405 | 2010 |
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 | 402 | 2009 |
Markov random fields for vision and image processing A Blake, P Kohli, C Rother Mit Press, 2011 | 310 | 2011 |
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 | 306 | 2014 |
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 | 285 | 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 | 284 | 2009 |
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 | 282 | 2010 |
Motion estimation with non-local total variation regularization M Werlberger, T Pock, H Bischof 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 279 | 2010 |
A convex approach to minimal partitions A Chambolle, D Cremers, T Pock SIAM Journal on Imaging Sciences 5 (4), 1113-1158, 2012 | 271* | 2012 |
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 | 254 | 2015 |