Antonin Chambolle
Antonin Chambolle
CMAP, Ecole Polytechnique et CNRS
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An algorithm for total variation minimization and applications
A Chambolle
Journal of Mathematical imaging and vision 20 (1-2), 89-97, 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
Image recovery via total variation minimization and related problems
A Chambolle, PL Lions
Numerische Mathematik 76 (2), 167-188, 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
Dual norms and image decomposition models
JF Aujol, A Chambolle
International journal of computer vision 63 (1), 85-104, 2005
Total variation minimization and a class of binary MRF models
A Chambolle
International Workshop on Energy Minimization Methods in Computer Vision and …, 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
Diagonal preconditioning for first order primal-dual algorithms in convex optimization
T Pock, A Chambolle
2011 International Conference on Computer Vision, 1762-1769, 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
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
Markov random fields for vision and image processing
A Blake, P Kohli, C Rother
Mit Press, 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
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
Design-dependent loads in topology optimization
B Bourdin, A Chambolle
ESAIM: Control, Optimisation and Calculus of Variations 9, 19-48, 2003
A convex approach to minimal partitions
A Chambolle, D Cremers, T Pock
SIAM Journal on Imaging Sciences 5 (4), 1113-1158, 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
On the ergodic convergence rates of a first-order primal–dual algorithm
A Chambolle, T Pock
Mathematical Programming 159 (1-2), 253-287, 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
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
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
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