Partial Differential Equations and Image Processing. - Antonin Chambolle (ICIP (1), 1994)

Image Segmentation by Variational Methods: Mumford and Shah Functional and the Discrete Approximations. - Antonin Chambolle (SIAM J. Appl. Math., 1995)

Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage. - Antonin Chambolle; Ronald A. DeVore; Nam-Yong Lee; Bradley J. Lucier (IEEE Trans. Image Process., 1998)

Implementation of an adaptive finite-element approximation of the Mumford-Shah functional. - Blaise Bourdin; Antonin Chambolle (Numerische Mathematik, 2000)

Interpreting translation-invariant wavelet shrinkage as a new image smoothing scale space. - Antonin Chambolle; Bradley J. Lucier (IEEE Trans. Image Process., 2001)

Computing the Equilibrium Configuration of Epitaxially Strained Crystalline Films. - Antonin Chambolle; Eric Bonnetier (SIAM J. Appl. Math., 2002)

Image Decomposition Application to SAR Images. - Jean-François Aujol; Gilles Aubert; Laure Blanc-Féraud; Antonin Chambolle (Scale-Space, 2003)

A l1-Unified Variational Framework for Image Restoration. - Julien Bect; Laure Blanc-Féraud; Gilles Aubert; Antonin Chambolle (ECCV (4), 2004)

An Algorithm for Total Variation Minimization and Applications. - Antonin Chambolle (J. Math. Imaging Vis., 2004)

Total Variation Minimization and a Class of Binary MRF Models. - Antonin Chambolle (EMMCVPR, 2005)

Dual Norms and Image Decomposition Models. - Jean-François Aujol; Antonin Chambolle (Int. J. Comput. Vis., 2005)

Image Decomposition into a Bounded Variation Component and an Oscillating Component. - Jean-François Aujol; Gilles Aubert; Laure Blanc-Féraud; Antonin Chambolle (J. Math. Imaging Vis., 2005)

Convergence of an Algorithm for the Anisotropic and Crystalline Mean Curvature Flow. - Antonin Chambolle; Matteo Novaga (SIAM J. Math. Anal., 2006)

Total Variation Minimization and Graph Cuts for Moving Objects Segmentation. - Florent Ranchin; Antonin Chambolle; Françoise Dibos (SSVM, 2007)

The Discontinuity Set of Solutions of the TV Denoising Problem and Some Extensions. - Vicent Caselles; Antonin Chambolle; Matteo Novaga (Multiscale Model. Simul., 2007)

Interaction of a Bulk and a Surface Energy with a Geometrical Constraint. - Antonin Chambolle; Margherita Solci (SIAM J. Math. Anal., 2007)

A convex relaxation approach for computing minimal partitions. - Thomas Pock; Antonin Chambolle; Daniel Cremers; Horst Bischof (CVPR, 2009)

An algorithm for minimizing the Mumford-Shah functional. - Thomas Pock; Daniel Cremers; Horst Bischof; Antonin Chambolle (ICCV, 2009)

Enhancement of Blurred and Noisy Images Based on an Original Variant of the Total Variation. - Khalid Jalalzai; Antonin Chambolle (SSVM, 2009)

On Total Variation Minimization and Surface Evolution Using Parametric Maximum Flows. - Antonin Chambolle; Jérôme Darbon (Int. J. Comput. Vis., 2009)

Homogenization of interfacial energies and construction of plane-like minimizers in periodic media through a cell problem. - Antonin Chambolle; Gilles Thouroude (Networks Heterog. Media, 2009)

Revisiting Energy Release Rates in Brittle Fracture. - Antonin Chambolle; Gilles A. Francfort; Jean-Jacques Marigo (J. Nonlinear Sci., 2010)

Global Solutions of Variational Models with Convex Regularization. - Thomas Pock; Daniel Cremers; Horst Bischof; Antonin Chambolle (SIAM J. Imaging Sci., 2010)

Diagonal preconditioning for first order primal-dual algorithms in convex optimization. - Thomas Pock; Antonin Chambolle (ICCV, 2011)

A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging. - Antonin Chambolle; Thomas Pock (J. Math. Imaging Vis., 2011)

An Upwind Finite-Difference Method for Total Variation-Based Image Smoothing. - Antonin Chambolle; Stacey Levine; Bradley J. Lucier (SIAM J. Imaging Sci., 2011)

A convex representation for the vectorial Mumford-Shah functional. - Evgeny Strekalovskiy; Antonin Chambolle; Daniel Cremers (CVPR, 2012)

A posteriori error estimates for the effective Hamiltonian of dislocation dynamics. - Simone Cacace; Antonin Chambolle; Régis Monneau (Numerische Mathematik, 2012)

A Convex Approach to Minimal Partitions. - Antonin Chambolle; Daniel Cremers; Thomas Pock (SIAM J. Imaging Sci., 2012)

A Nonlocal Mean Curvature Flow and Its Semi-implicit Time-Discrete Approximation. - Antonin Chambolle; Massimiliano Morini; Marcello Ponsiglione (SIAM J. Math. Anal., 2012)

Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging. - Antonin Chambolle; Michael Hintermüller; Thomas Pock; Christoph Schnörr; Gabriele Steidl (J. Math. Imaging Vis., 2013)

Supervised Descriptor Learning for Non-Rigid Shape Matching. - Etienne Corman; Maks Ovsjanikov; Antonin Chambolle (ECCV Workshops (4), 2014)

Properties of minimizers of the total variation and of the solutions of the total variation flow. - Khalid Jalalzai; Antonin Chambolle (ICIP, 2014)

Adapted Basis for Nonlocal Reconstruction of Missing Spectrum. - Antonin Chambolle; Khalid Jalalzai (SIAM J. Imaging Sci., 2014)

Convex Relaxation of Vectorial Problems with Coupled Regularization. - Evgeny Strekalovskiy; Antonin Chambolle; Daniel Cremers (SIAM J. Imaging Sci., 2014)

Continuous Matching via Vector Field Flow. - Etienne Corman; Maks Ovsjanikov; Antonin Chambolle (Comput. Graph. Forum, 2015)

On the Convergence of the Iterates of the "Fast Iterative Shrinkage/Thresholding Algorithm". - Antonin Chambolle; Charles Dossal (J. Optim. Theory Appl., 2015)

Total Variation in Imaging. - Vicent Caselles; Antonin Chambolle; Matteo Novaga (Handbook of Mathematical Methods in Imaging, 2015)

An introduction to continuous optimization for imaging. - Antonin Chambolle; Thomas Pock (Acta Numer., 2016)

On the ergodic convergence rates of a first-order primal-dual algorithm. - Antonin Chambolle; Thomas Pock (Math. Program., 2016)

Occlusion detection in dense stereo estimation with convex optimization. - Pauline Tan; Antonin Chambolle; Pascal Monasse (ICIP, 2017)

Accelerated Alternating Descent Methods for Dykstra-Like Problems. - Antonin Chambolle; Pauline Tan; Samuel Vaiter (J. Math. Imaging Vis., 2017)

Regularity for the Optimal Compliance Problem with Length Penalization. - Antonin Chambolle; Jimmy Lamboley; Antoine Lemenant; Eugene Stepanov (SIAM J. Math. Anal., 2017)

Convex Regularization and Representer Theorems. - Claire Boyer; Antonin Chambolle; Yohann de Castro; Vincent Duval; Frédéric de Gournay; Pierre Weiss (CoRR, 2018)

Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications. - Antonin Chambolle; Matthias J. Ehrhardt; Peter Richtárik; Carola-Bibiane Schönlieb (SIAM J. Optim., 2018)

Robust supervised classification and feature selection using a primal-dual method. - Michel Barlaud; Antonin Chambolle; Jean-Baptiste Caillau (CoRR, 2019)

On the convergence rate of some nonlocal energies. - Antonin Chambolle; Matteo Novaga; Valerio Pagliari (CoRR, 2019)

Pointwise Besov Space Smoothing of Images. - Gregery T. Buzzard; Antonin Chambolle; Jonathan D. Cohen 004; Stacey Levine; Bradley J. Lucier (J. Math. Imaging Vis., 2019)

Total roto-translational variation. - Antonin Chambolle; Thomas Pock (Numerische Mathematik, 2019)

On Representer Theorems and Convex Regularization. - Claire Boyer; Antonin Chambolle; Yohann de Castro; Vincent Duval; Frédéric de Gournay; Pierre Weiss (SIAM J. Optim., 2019)

Backtracking Strategies for Accelerated Descent Methods with Smooth Composite Objectives. - Luca Calatroni; Antonin Chambolle (SIAM J. Optim., 2019)

Classification and feature selection using a primal-dual method and projection on structured constraints. - Michel Barlaud; Antonin Chambolle; Jean-Baptiste Caillau (ICPR, 2020)

Inexact first-order primal-dual algorithms. - Julian Rasch; Antonin Chambolle (Comput. Optim. Appl., 2020)

A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data. - Antonin Chambolle; Martin Holler; Thomas Pock (J. Math. Imaging Vis., 2020)

Crouzeix-Raviart Approximation of the Total Variation on Simplicial Meshes. - Antonin Chambolle; Thomas Pock (J. Math. Imaging Vis., 2020)

Learning Consistent Discretizations of the Total Variation. - Antonin Chambolle; Thomas Pock (SIAM J. Imaging Sci., 2021)

"FISTA" in Banach spaces with adaptive discretisations. - Antonin Chambolle; Robert Tovey (Comput. Optim. Appl., 2022)

Convergence of a Piggyback-Style Method for the Differentiation of Solutions of Standard Saddle-Point Problems. - Lea Bogensperger; Antonin Chambolle; Thomas Pock (SIAM J. Math. Data Sci., 2022)

Accelerated Bregman Primal-Dual Methods Applied to Optimal Transport and Wasserstein Barycenter Problems. - Antonin Chambolle; Juan Pablo Contreras (SIAM J. Math. Data Sci., 2022)

The Total Variation-Wasserstein Problem: A New Derivation of the Euler-Lagrange Equations. - Antonin Chambolle; Vincent Duval; João Miguel Machado (GSI (1), 2023)

Learned Discretization Schemes for the Second-Order Total Generalized Variation. - Lea Bogensperger; Antonin Chambolle; Alexander Effland; Thomas Pock (SSVM, 2023)

A Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-Play with Proximal Denoiser. - Samuel Hurault; Antonin Chambolle; Arthur Leclaire; Nicolas Papadakis (SSVM, 2023)

Explicit Diffusion of Gaussian Mixture Model Based Image Priors. - Martin Zach; Thomas Pock; Erich Kobler; Antonin Chambolle (SSVM, 2023)

Crystallinity of the Homogenized Energy Density of Periodic Lattice Systems. - Antonin Chambolle; Leonard Kreutz (Multiscale Model. Simul., 2023)

Inclusion and Estimates for the Jumps of Minimizers in Variational Denoising. - Antonin Chambolle; Michal Lasica (SIAM J. Imaging Sci., 2024)

({ boldsymbol{{L}^{1}}} )-Gradient Flow of Convex Functionals. - Antonin Chambolle; Matteo Novaga (SIAM J. Math. Anal., 2024)

Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes. - Antonin Chambolle; Claire Delplancke; Matthias J. Ehrhardt; Carola-Bibiane Schönlieb; Junqi Tang (J. Math. Imaging Vis., 2024)

Convergent Plug-and-Play with Proximal Denoiser and Unconstrained Regularization Parameter. - Samuel Hurault; Antonin Chambolle; Arthur Leclaire; Nicolas Papadakis (J. Math. Imaging Vis., 2024)

Product of Gaussian Mixture Diffusion Models. - Martin Zach; Erich Kobler; Antonin Chambolle; Thomas Pock (J. Math. Imaging Vis., 2024)

A Variational Method for Curve Extraction. - Majid Arthaud; Antonin Chambolle; Vincent Duval (SSVM (2), 2025)

On the Relation between Rectified Flows and Optimal Transport. - Johannes Hertrich; Antonin Chambolle; Julie Delon (CoRR, 2025)