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ORCIDAntonin Chambolle
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2020 – today
- 2024
[j47]Antonin Chambolle, Claire Delplancke, Matthias J. Ehrhardt
, Carola-Bibiane Schönlieb, Junqi Tang:
Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes. J. Math. Imaging Vis. 66(3): 294-313 (2024)- [j46]Martin Zach, Erich Kobler, Antonin Chambolle, Thomas Pock:
Product of Gaussian Mixture Diffusion Models. J. Math. Imaging Vis. 66(4): 504-528 (2024) - [j45]Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis:
Convergent Plug-and-Play with Proximal Denoiser and Unconstrained Regularization Parameter. J. Math. Imaging Vis. 66(4): 616-638 (2024) - [j44]Antonin Chambolle, Michal Lasica:
Inclusion and Estimates for the Jumps of Minimizers in Variational Denoising. SIAM J. Imaging Sci. 17(3): 1844-1878 (2024) - [j43]Antonin Chambolle, Matteo Novaga:
\({\boldsymbol{{L}^{1}}}\)-Gradient Flow of Convex Functionals. SIAM J. Math. Anal. 56(5): 5747-5781 (2024) - 2023
- [j42]Antonin Chambolle, Leonard Kreutz:
Crystallinity of the Homogenized Energy Density of Periodic Lattice Systems. Multiscale Model. Simul. 21(1): 34-79 (2023) - [c18]Antonin Chambolle, Vincent Duval, João Miguel Machado:
The Total Variation-Wasserstein Problem: A New Derivation of the Euler-Lagrange Equations. GSI (1) 2023: 610-619 - [c17]Martin Zach, Thomas Pock, Erich Kobler, Antonin Chambolle:
Explicit Diffusion of Gaussian Mixture Model Based Image Priors. SSVM 2023: 3-15 - [c16]Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis:
A Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-Play with Proximal Denoiser. SSVM 2023: 379-392 - [c15]Lea Bogensperger, Antonin Chambolle, Alexander Effland, Thomas Pock:
Learned Discretization Schemes for the Second-Order Total Generalized Variation. SSVM 2023: 484-497 - [i10]Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis:
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser. CoRR abs/2301.13731 (2023) - [i9]Martin Zach, Thomas Pock, Erich Kobler, Antonin Chambolle:
Explicit Diffusion of Gaussian Mixture Model Based Image Priors. CoRR abs/2302.08411 (2023) - [i8]Lea Bogensperger, Antonin Chambolle, Alexander Effland, Thomas Pock:
Learned Discretization Schemes for the Second-Order Total Generalized Variation. CoRR abs/2303.09349 (2023) - [i7]Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis:
Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter. CoRR abs/2311.01216 (2023) - 2022
- [j41]Antonin Chambolle, Robert Tovey:
"FISTA" in Banach spaces with adaptive discretisations. Comput. Optim. Appl. 83(3): 845-892 (2022) - [j40]Lea Bogensperger, Antonin Chambolle, Thomas Pock:
Convergence of a Piggyback-Style Method for the Differentiation of Solutions of Standard Saddle-Point Problems. SIAM J. Math. Data Sci. 4(3): 1003-1030 (2022) - [j39]Antonin Chambolle, Juan Pablo Contreras:
Accelerated Bregman Primal-Dual Methods Applied to Optimal Transport and Wasserstein Barycenter Problems. SIAM J. Math. Data Sci. 4(4): 1369-1395 (2022) - 2021
- [j38]Antonin Chambolle, Thomas Pock:
Learning Consistent Discretizations of the Total Variation. SIAM J. Imaging Sci. 14(2): 778-813 (2021) - 2020
- [j37]Julian Rasch, Antonin Chambolle:
Inexact first-order primal-dual algorithms. Comput. Optim. Appl. 76(2): 381-430 (2020) - [j36]Antonin Chambolle, Martin Holler, Thomas Pock:
A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data. J. Math. Imaging Vis. 62(3): 417-444 (2020) - [j35]Antonin Chambolle, Thomas Pock:
Crouzeix-Raviart Approximation of the Total Variation on Simplicial Meshes. J. Math. Imaging Vis. 62(6-7): 872-899 (2020) - [c14]Michel Barlaud, Antonin Chambolle, Jean-Baptiste Caillau:
Classification and feature selection using a primal-dual method and projection on structured constraints. ICPR 2020: 6538-6545
2010 – 2019
- 2019
- [j34]Gregery T. Buzzard, Antonin Chambolle, Jonathan D. Cohen, Stacey Levine, Bradley J. Lucier:
Pointwise Besov Space Smoothing of Images. J. Math. Imaging Vis. 61(1): 1-20 (2019) - [j33]Antonin Chambolle, Thomas Pock:
Total roto-translational variation. Numerische Mathematik 142(3): 611-666 (2019) - [j32]Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss:
On Representer Theorems and Convex Regularization. SIAM J. Optim. 29(2): 1260-1281 (2019) - [j31]Luca Calatroni, Antonin Chambolle:
Backtracking Strategies for Accelerated Descent Methods with Smooth Composite Objectives. SIAM J. Optim. 29(3): 1772-1798 (2019) - [i6]Michel Barlaud, Antonin Chambolle, Jean-Baptiste Caillau:
Robust supervised classification and feature selection using a primal-dual method. CoRR abs/1902.01600 (2019) - [i5]Antonin Chambolle, Matteo Novaga, Valerio Pagliari:
On the convergence rate of some nonlocal energies. CoRR abs/1907.06030 (2019) - 2018
- [j30]Antonin Chambolle, Matthias J. Ehrhardt, Peter Richtárik, Carola-Bibiane Schönlieb:
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications. SIAM J. Optim. 28(4): 2783-2808 (2018) - [i4]Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss:
On Representer Theorems and Convex Regularization. CoRR abs/1806.09810 (2018) - [i3]Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss:
Convex Regularization and Representer Theorems. CoRR abs/1812.04355 (2018) - 2017
- [j29]Antonin Chambolle, Pauline Tan, Samuel Vaiter:
Accelerated Alternating Descent Methods for Dykstra-Like Problems. J. Math. Imaging Vis. 59(3): 481-497 (2017) - [j28]Antonin Chambolle, Jimmy Lamboley, Antoine Lemenant, Eugene Stepanov:
Regularity for the Optimal Compliance Problem with Length Penalization. SIAM J. Math. Anal. 49(2): 1166-1224 (2017) - [c13]Pauline Tan, Antonin Chambolle, Pascal Monasse:
Occlusion detection in dense stereo estimation with convex optimization. ICIP 2017: 2543-2547 - [i2]Antonin Chambolle, Matthias J. Ehrhardt, Peter Richtárik, Carola-Bibiane Schönlieb:
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications. CoRR abs/1706.04957 (2017) - 2016
- [j27]Antonin Chambolle, Thomas Pock:
An introduction to continuous optimization for imaging. Acta Numer. 25: 161-319 (2016) - [j26]Antonin Chambolle, Thomas Pock:
On the ergodic convergence rates of a first-order primal-dual algorithm. Math. Program. 159(1-2): 253-287 (2016) - 2015
- [j25]Etienne Corman, Maks Ovsjanikov, Antonin Chambolle:
Continuous Matching via Vector Field Flow. Comput. Graph. Forum 34(5): 129-139 (2015) - [j24]Antonin Chambolle, Charles Dossal:
On the Convergence of the Iterates of the "Fast Iterative Shrinkage/Thresholding Algorithm". J. Optim. Theory Appl. 166(3): 968-982 (2015) - [r1]Vicent Caselles, Antonin Chambolle, Matteo Novaga:
Total Variation in Imaging. Handbook of Mathematical Methods in Imaging 2015: 1455-1499 - 2014
- [j23]Evgeny Strekalovskiy, Antonin Chambolle, Daniel Cremers:
Convex Relaxation of Vectorial Problems with Coupled Regularization. SIAM J. Imaging Sci. 7(1): 294-336 (2014) - [j22]Antonin Chambolle, Khalid Jalalzai:
Adapted Basis for Nonlocal Reconstruction of Missing Spectrum. SIAM J. Imaging Sci. 7(3): 1484-1502 (2014) - [c12]Etienne Corman, Maks Ovsjanikov, Antonin Chambolle:
Supervised Descriptor Learning for Non-Rigid Shape Matching. ECCV Workshops (4) 2014: 283-298 - [c11]Khalid Jalalzai, Antonin Chambolle:
Properties of minimizers of the total variation and of the solutions of the total variation flow. ICIP 2014: 4832-4836 - 2013
- [j21]Antonin Chambolle, Michael Hintermüller, Thomas Pock, Christoph Schnörr, Gabriele Steidl:
Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging. J. Math. Imaging Vis. 47(3): 165-166 (2013) - 2012
- [j20]Simone Cacace, Antonin Chambolle, Régis Monneau:
A posteriori error estimates for the effective Hamiltonian of dislocation dynamics. Numerische Mathematik 121(2): 281-335 (2012) - [j19]Antonin Chambolle, Daniel Cremers, Thomas Pock:
A Convex Approach to Minimal Partitions. SIAM J. Imaging Sci. 5(4): 1113-1158 (2012) - [j18]Antonin Chambolle, Massimiliano Morini, Marcello Ponsiglione:
A Nonlocal Mean Curvature Flow and Its Semi-implicit Time-Discrete Approximation. SIAM J. Math. Anal. 44(6): 4048-4077 (2012) - [c10]Evgeny Strekalovskiy, Antonin Chambolle, Daniel Cremers:
A convex representation for the vectorial Mumford-Shah functional. CVPR 2012: 1712-1719 - 2011
- [j17]Antonin Chambolle, Thomas Pock:
A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging. J. Math. Imaging Vis. 40(1): 120-145 (2011) - [j16]Antonin Chambolle, Stacey Levine, Bradley J. Lucier:
An Upwind Finite-Difference Method for Total Variation-Based Image Smoothing. SIAM J. Imaging Sci. 4(1): 277-299 (2011) - [c9]Thomas Pock, Antonin Chambolle:
Diagonal preconditioning for first order primal-dual algorithms in convex optimization. ICCV 2011: 1762-1769 - 2010
- [j15]Antonin Chambolle, Gilles A. Francfort, Jean-Jacques Marigo:
Revisiting Energy Release Rates in Brittle Fracture. J. Nonlinear Sci. 20(4): 395-424 (2010) - [j14]Thomas Pock, Daniel Cremers, Horst Bischof, Antonin Chambolle:
Global Solutions of Variational Models with Convex Regularization. SIAM J. Imaging Sci. 3(4): 1122-1145 (2010)
2000 – 2009
- 2009
- [j13]Antonin Chambolle, Jérôme Darbon:
On Total Variation Minimization and Surface Evolution Using Parametric Maximum Flows. Int. J. Comput. Vis. 84(3): 288-307 (2009) - [j12]Antonin Chambolle, Gilles Thouroude:
Homogenization of interfacial energies and construction of plane-like minimizers in periodic media through a cell problem. Networks Heterog. Media 4(1): 127-152 (2009) - [c8]Thomas Pock, Antonin Chambolle, Daniel Cremers, Horst Bischof:
A convex relaxation approach for computing minimal partitions. CVPR 2009: 810-817 - [c7]Thomas Pock, Daniel Cremers, Horst Bischof, Antonin Chambolle:
An algorithm for minimizing the Mumford-Shah functional. ICCV 2009: 1133-1140 - [c6]Khalid Jalalzai, Antonin Chambolle:
Enhancement of Blurred and Noisy Images Based on an Original Variant of the Total Variation. SSVM 2009: 368-376 - 2007
- [j11]Vicent Caselles, Antonin Chambolle, Matteo Novaga:
The Discontinuity Set of Solutions of the TV Denoising Problem and Some Extensions. Multiscale Model. Simul. 6(3): 879-894 (2007) - [j10]Antonin Chambolle, Margherita Solci:
Interaction of a Bulk and a Surface Energy with a Geometrical Constraint. SIAM J. Math. Anal. 39(1): 77-102 (2007) - [c5]Florent Ranchin, Antonin Chambolle, Françoise Dibos:
Total Variation Minimization and Graph Cuts for Moving Objects Segmentation. SSVM 2007: 743-753 - 2006
- [j9]Antonin Chambolle, Matteo Novaga:
Convergence of an Algorithm for the Anisotropic and Crystalline Mean Curvature Flow. SIAM J. Math. Anal. 37(6): 1978-1987 (2006) - [i1]Florent Ranchin, Antonin Chambolle, Françoise Dibos:
Total Variation Minimization and Graph Cuts for Moving Objects Segmentation. CoRR abs/cs/0609100 (2006) - 2005
- [j8]Jean-François Aujol, Antonin Chambolle:
Dual Norms and Image Decomposition Models. Int. J. Comput. Vis. 63(1): 85-104 (2005) - [j7]Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud, Antonin Chambolle:
Image Decomposition into a Bounded Variation Component and an Oscillating Component. J. Math. Imaging Vis. 22(1): 71-88 (2005) - [c4]Antonin Chambolle:
Total Variation Minimization and a Class of Binary MRF Models. EMMCVPR 2005: 136-152 - 2004
- [j6]Antonin Chambolle:
An Algorithm for Total Variation Minimization and Applications. J. Math. Imaging Vis. 20(1-2): 89-97 (2004) - [c3]Julien Bect, Laure Blanc-Féraud, Gilles Aubert, Antonin Chambolle:
A l1-Unified Variational Framework for Image Restoration. ECCV (4) 2004: 1-13 - 2003
- [c2]Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud, Antonin Chambolle:
Image Decomposition Application to SAR Images. Scale-Space 2003: 297-312 - 2002
- [j5]Antonin Chambolle, Eric Bonnetier:
Computing the Equilibrium Configuration of Epitaxially Strained Crystalline Films. SIAM J. Appl. Math. 62(4): 1093-1121 (2002) - 2001
- [j4]Antonin Chambolle, Bradley J. Lucier:
Interpreting translation-invariant wavelet shrinkage as a new image smoothing scale space. IEEE Trans. Image Process. 10(7): 993-1000 (2001) - 2000
- [j3]Blaise Bourdin, Antonin Chambolle:
Implementation of an adaptive finite-element approximation of the Mumford-Shah functional. Numerische Mathematik 85(4): 609-646 (2000)
1990 – 1999
- 1998
- [j2]Antonin Chambolle, Ronald A. DeVore, Nam-Yong Lee, Bradley J. Lucier:
Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage. IEEE Trans. Image Process. 7(3): 319-335 (1998) - 1995
- [j1]Antonin Chambolle:
Image Segmentation by Variational Methods: Mumford and Shah Functional and the Discrete Approximations. SIAM J. Appl. Math. 55(3): 827-863 (1995) - 1994
- [c1]Antonin Chambolle:
Partial Differential Equations and Image Processing. ICIP (1) 1994: 16-20
Coauthor Index
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