| An algorithm for total variation minimization and applications A Chambolle Journal of Mathematical imaging and vision 20 (1-2), 89-97, 2004 | 3845 | 2004 |
| 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 | 3482 | 2011 |
| Image recovery via total variation minimization and related problems A Chambolle, PL Lions Numerische Mathematik 76 (2), 167-188, 1997 | 1772 | 1997 |
| Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage A Chambolle, RA De Vore, NY Lee, BJ Lucier IEEE Transactions on Image Processing 7 (3), 319-335, 1998 | 971 | 1998 |
| Dual norms and image decomposition models JF Aujol, A Chambolle International journal of computer vision 63 (1), 85-104, 2005 | 418 | 2005 |
| Total variation minimization and a class of binary MRF models A Chambolle International Workshop on Energy Minimization Methods in Computer Vision and …, 2005 | 412 | 2005 |
| Image decomposition into a bounded variation component and an oscillating component JF Aujol, G Aubert, L Blanc-Féraud, A Chambolle Journal of Mathematical Imaging and Vision 22 (1), 71-88, 2005 | 407 | 2005 |
| Diagonal preconditioning for first order primal-dual algorithms in convex optimization T Pock, A Chambolle 2011 International Conference on Computer Vision, 1762-1769, 2011 | 399 | 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 | 390 | 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 | 384 | 2010 |
| Markov random fields for vision and image processing A Blake, P Kohli, C Rother Mit Press, 2011 | 303 | 2011 |
| On the convergence of the iterates of the “fast iterative shrinkage/thresholding algorithm” A Chambolle, C Dossal Journal of Optimization theory and Applications 166 (3), 968-982, 2015 | 282* | 2015 |
| 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 | 280 | 2009 |
| Design-dependent loads in topology optimization B Bourdin, A Chambolle ESAIM: Control, Optimisation and Calculus of Variations 9, 19-48, 2003 | 279 | 2003 |
| A convex approach to minimal partitions A Chambolle, D Cremers, T Pock SIAM Journal on Imaging Sciences 5 (4), 1113-1158, 2012 | 267* | 2012 |
| Image segmentation by variational methods: Mumford and Shah functional and the discrete approximations A Chambolle SIAM Journal on Applied Mathematics 55 (3), 827-863, 1995 | 247 | 1995 |
| On the ergodic convergence rates of a first-order primal–dual algorithm A Chambolle, T Pock Mathematical Programming 159 (1-2), 253-287, 2016 | 222 | 2016 |
| On total variation minimization and surface evolution using parametric maximum flows A Chambolle, J Darbon International journal of computer vision 84 (3), 288, 2009 | 211 | 2009 |
| Existence of weak solutions for the unsteady interaction of a viscous fluid with an elastic plate A Chambolle, B Desjardins, MJ Esteban, C Grandmont Journal of Mathematical Fluid Mechanics 7 (3), 368-404, 2005 | 209* | 2005 |
| A l 1-Unified Variational Framework for Image Restoration J Bect, L Blanc-Féraud, G Aubert, A Chambolle European Conference on Computer Vision, 1-13, 2004 | 209 | 2004 |
Thomas PockProfessor of Computer Science, TU GrazAdresse e-mail validée de icg.tugraz.at
