| 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 | 3426 | 2011 |
| A Duality Based Approach for Realtime TV-L1 Optical Flow C Zach, T Pock, H Bischof Joint pattern recognition symposium, 214-223, 2007 | 1406 | 2007 |
| Total generalized variation K Bredies, K Kunisch, T Pock SIAM Journal on Imaging Sciences 3 (3), 492-526, 2010 | 1183 | 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 | 563 | 2016 |
| Anisotropic Huber-L1 Optical Flow. M Werlberger, W Trobin, T Pock, A Wedel, D Cremers, H Bischof BMVC 1 (2), 3, 2009 | 478 | 2009 |
| 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 | 471 | 2018 |
| 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 | 465 | 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 | 464 | 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 | 443 | 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 | 394 | 2011 |
| 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 | 387 | 2009 |
| 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 | 370 | 2010 |
| Markov random fields for vision and image processing A Blake, P Kohli, C Rother Mit Press, 2011 | 297 | 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 | 288 | 2014 |
| 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 | 276 | 2009 |
| 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 | 276 | 2007 |
| 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 | 274 | 2010 |
| 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 | 271 | 2010 |
| A convex approach to minimal partitions A Chambolle, D Cremers, T Pock SIAM Journal on Imaging Sciences 5 (4), 1113-1158, 2012 | 264* | 2012 |
| A convex formulation of continuous multi-label problems T Pock, T Schoenemann, G Graber, H Bischof, D Cremers European conference on computer vision, 792-805, 2008 | 251 | 2008 |
Horst BischofGraz University of TechnologyVahvistettu sähköpostiosoite verkkotunnuksessa icg.tugraz.at
