Antonin Chambolle

79 papers A* 4B 3Journal 59Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Variational Method for Curve Extraction. SSVM (2) Majid Arthaud, Antonin Chambolle, Vincent Duval
2025	J	`jnl`	A variational method for curve extraction with curvature-dependent energies. CoRR Majid Arthaud, Antonin Chambolle, Vincent Duval
2025	J	`jnl`	On the Relation between Rectified Flows and Optimal Transport. CoRR Johannes Hertrich, Antonin Chambolle, Julie Delon
2024	J	`jnl`	Convergent Plug-and-Play with Proximal Denoiser and Unconstrained Regularization Parameter. J. Math. Imaging Vis. Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
2024	J	`jnl`	Inclusion and Estimates for the Jumps of Minimizers in Variational Denoising. SIAM J. Imaging Sci. Antonin Chambolle, Michal Lasica
2024	J	`jnl`	Product of Gaussian Mixture Diffusion Models. J. Math. Imaging Vis. Martin Zach, Erich Kobler, Antonin Chambolle, Thomas Pock
2024	J	`jnl`	Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes. J. Math. Imaging Vis. Antonin Chambolle, Claire Delplancke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Junqi Tang
2024	J	`jnl`	\({\boldsymbol{{L}^{1}}}\)-Gradient Flow of Convex Functionals. SIAM J. Math. Anal. Antonin Chambolle, Matteo Novaga
2023	—	`conf`	A Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-Play with Proximal Denoiser. SSVM Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
2023	J	`jnl`	A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser. CoRR Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
2023	J	`jnl`	Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter. CoRR Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
2023	J	`jnl`	Crystallinity of the Homogenized Energy Density of Periodic Lattice Systems. Multiscale Model. Simul. Antonin Chambolle, Leonard Kreutz
2023	—	`conf`	Explicit Diffusion of Gaussian Mixture Model Based Image Priors. SSVM Martin Zach, Thomas Pock, Erich Kobler, Antonin Chambolle
2023	J	`jnl`	Explicit Diffusion of Gaussian Mixture Model Based Image Priors. CoRR Martin Zach, Thomas Pock, Erich Kobler, Antonin Chambolle
2023	—	`conf`	Learned Discretization Schemes for the Second-Order Total Generalized Variation. SSVM Lea Bogensperger, Antonin Chambolle, Alexander Effland, Thomas Pock
2023	J	`jnl`	Learned Discretization Schemes for the Second-Order Total Generalized Variation. CoRR Lea Bogensperger, Antonin Chambolle, Alexander Effland, Thomas Pock
2023	—	`conf`	The Total Variation-Wasserstein Problem: A New Derivation of the Euler-Lagrange Equations. GSI (1) Antonin Chambolle, Vincent Duval, João Miguel Machado
2022	J	`jnl`	"FISTA" in Banach spaces with adaptive discretisations. Comput. Optim. Appl. Antonin Chambolle, Robert Tovey
2022	J	`jnl`	Accelerated Bregman Primal-Dual Methods Applied to Optimal Transport and Wasserstein Barycenter Problems. SIAM J. Math. Data Sci. Antonin Chambolle, Juan Pablo Contreras
2022	J	`jnl`	Convergence of a Piggyback-Style Method for the Differentiation of Solutions of Standard Saddle-Point Problems. SIAM J. Math. Data Sci. Lea Bogensperger, Antonin Chambolle, Thomas Pock
2021	J	`jnl`	Learning Consistent Discretizations of the Total Variation. SIAM J. Imaging Sci. Antonin Chambolle, Thomas Pock
2020	J	`jnl`	A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data. J. Math. Imaging Vis. Antonin Chambolle, Martin Holler, Thomas Pock
2020	B	`conf`	Classification and feature selection using a primal-dual method and projection on structured constraints. ICPR Michel Barlaud, Antonin Chambolle, Jean-Baptiste Caillau
2020	J	`jnl`	Crouzeix-Raviart Approximation of the Total Variation on Simplicial Meshes. J. Math. Imaging Vis. Antonin Chambolle, Thomas Pock
2020	J	`jnl`	Inexact first-order primal-dual algorithms. Comput. Optim. Appl. Julian Rasch, Antonin Chambolle
2019	J	`jnl`	Backtracking Strategies for Accelerated Descent Methods with Smooth Composite Objectives. SIAM J. Optim. Luca Calatroni, Antonin Chambolle
2019	J	`jnl`	On Representer Theorems and Convex Regularization. SIAM J. Optim. Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss
2019	J	`jnl`	On the convergence rate of some nonlocal energies. CoRR Antonin Chambolle, Matteo Novaga, Valerio Pagliari
2019	J	`jnl`	Pointwise Besov Space Smoothing of Images. J. Math. Imaging Vis. Gregery T. Buzzard, Antonin Chambolle, Jonathan D. Cohen, Stacey Levine, Bradley J. Lucier
2019	J	`jnl`	Robust supervised classification and feature selection using a primal-dual method. CoRR Michel Barlaud, Antonin Chambolle, Jean-Baptiste Caillau
2019	J	`jnl`	Total roto-translational variation. Numerische Mathematik Antonin Chambolle, Thomas Pock
2018	J	`jnl`	Convex Regularization and Representer Theorems. CoRR Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss
2018	J	`jnl`	On Representer Theorems and Convex Regularization. CoRR Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss
2018	J	`jnl`	Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications. SIAM J. Optim. Antonin Chambolle, Matthias J. Ehrhardt, Peter Richtárik, Carola-Bibiane Schönlieb
2017	J	`jnl`	Accelerated Alternating Descent Methods for Dykstra-Like Problems. J. Math. Imaging Vis. Antonin Chambolle, Pauline Tan, Samuel Vaiter
2017	B	`conf`	Occlusion detection in dense stereo estimation with convex optimization. ICIP Pauline Tan, Antonin Chambolle, Pascal Monasse
2017	J	`jnl`	Regularity for the Optimal Compliance Problem with Length Penalization. SIAM J. Math. Anal. Antonin Chambolle, Jimmy Lamboley, Antoine Lemenant, Eugene Stepanov
2017	J	`jnl`	Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications. CoRR Antonin Chambolle, Matthias J. Ehrhardt, Peter Richtárik, Carola-Bibiane Schönlieb
2016	J	`jnl`	An introduction to continuous optimization for imaging. Acta Numer. Antonin Chambolle, Thomas Pock
2016	J	`jnl`	On the ergodic convergence rates of a first-order primal-dual algorithm. Math. Program. Antonin Chambolle, Thomas Pock
2015	J	`jnl`	Continuous Matching via Vector Field Flow. Comput. Graph. Forum Etienne Corman, Maks Ovsjanikov, Antonin Chambolle
2015	J	`jnl`	On the Convergence of the Iterates of the "Fast Iterative Shrinkage/Thresholding Algorithm". J. Optim. Theory Appl. Antonin Chambolle, Charles Dossal
2015	—	`ch.`	Total Variation in Imaging. Handbook of Mathematical Methods in Imaging Vicent Caselles, Antonin Chambolle, Matteo Novaga
2014	J	`jnl`	Adapted Basis for Nonlocal Reconstruction of Missing Spectrum. SIAM J. Imaging Sci. Antonin Chambolle, Khalid Jalalzai
2014	J	`jnl`	Convex Relaxation of Vectorial Problems with Coupled Regularization. SIAM J. Imaging Sci. Evgeny Strekalovskiy, Antonin Chambolle, Daniel Cremers
2014	B	`conf`	Properties of minimizers of the total variation and of the solutions of the total variation flow. ICIP Khalid Jalalzai, Antonin Chambolle
2014	—	`conf`	Supervised Descriptor Learning for Non-Rigid Shape Matching. ECCV Workshops (4) Etienne Corman, Maks Ovsjanikov, Antonin Chambolle
2013	J	`jnl`	Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging. J. Math. Imaging Vis. Antonin Chambolle, Michael Hintermüller, Thomas Pock, Christoph Schnörr, Gabriele Steidl
2012	J	`jnl`	A Convex Approach to Minimal Partitions. SIAM J. Imaging Sci. Antonin Chambolle, Daniel Cremers, Thomas Pock
2012	J	`jnl`	A Nonlocal Mean Curvature Flow and Its Semi-implicit Time-Discrete Approximation. SIAM J. Math. Anal. Antonin Chambolle, Massimiliano Morini, Marcello Ponsiglione
2012	A*	`conf`	A convex representation for the vectorial Mumford-Shah functional. CVPR Evgeny Strekalovskiy, Antonin Chambolle, Daniel Cremers
2012	J	`jnl`	A posteriori error estimates for the effective Hamiltonian of dislocation dynamics. Numerische Mathematik Simone Cacace, Antonin Chambolle, Régis Monneau
2011	J	`jnl`	A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging. J. Math. Imaging Vis. Antonin Chambolle, Thomas Pock
2011	J	`jnl`	An Upwind Finite-Difference Method for Total Variation-Based Image Smoothing. SIAM J. Imaging Sci. Antonin Chambolle, Stacey Levine, Bradley J. Lucier
2011	A*	`conf`	Diagonal preconditioning for first order primal-dual algorithms in convex optimization. ICCV Thomas Pock, Antonin Chambolle
2010	J	`jnl`	Global Solutions of Variational Models with Convex Regularization. SIAM J. Imaging Sci. Thomas Pock, Daniel Cremers, Horst Bischof, Antonin Chambolle
2010	J	`jnl`	Revisiting Energy Release Rates in Brittle Fracture. J. Nonlinear Sci. Antonin Chambolle, Gilles A. Francfort, Jean-Jacques Marigo
2009	A*	`conf`	A convex relaxation approach for computing minimal partitions. CVPR Thomas Pock, Antonin Chambolle, Daniel Cremers, Horst Bischof
2009	A*	`conf`	An algorithm for minimizing the Mumford-Shah functional. ICCV Thomas Pock, Daniel Cremers, Horst Bischof, Antonin Chambolle
2009	—	`conf`	Enhancement of Blurred and Noisy Images Based on an Original Variant of the Total Variation. SSVM Khalid Jalalzai, Antonin Chambolle
2009	J	`jnl`	Homogenization of interfacial energies and construction of plane-like minimizers in periodic media through a cell problem. Networks Heterog. Media Antonin Chambolle, Gilles Thouroude
2009	J	`jnl`	On Total Variation Minimization and Surface Evolution Using Parametric Maximum Flows. Int. J. Comput. Vis. Antonin Chambolle, Jérôme Darbon
2007	J	`jnl`	Interaction of a Bulk and a Surface Energy with a Geometrical Constraint. SIAM J. Math. Anal. Antonin Chambolle, Margherita Solci
2007	J	`jnl`	The Discontinuity Set of Solutions of the TV Denoising Problem and Some Extensions. Multiscale Model. Simul. Vicent Caselles, Antonin Chambolle, Matteo Novaga
2007	—	`conf`	Total Variation Minimization and Graph Cuts for Moving Objects Segmentation. SSVM Florent Ranchin, Antonin Chambolle, Françoise Dibos
2006	J	`jnl`	Convergence of an Algorithm for the Anisotropic and Crystalline Mean Curvature Flow. SIAM J. Math. Anal. Antonin Chambolle, Matteo Novaga
2006	J	`jnl`	Total Variation Minimization and Graph Cuts for Moving Objects Segmentation CoRR Florent Ranchin, Antonin Chambolle, Françoise Dibos
2005	J	`jnl`	Dual Norms and Image Decomposition Models. Int. J. Comput. Vis. Jean-François Aujol, Antonin Chambolle
2005	J	`jnl`	Image Decomposition into a Bounded Variation Component and an Oscillating Component. J. Math. Imaging Vis. Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud, Antonin Chambolle
2005	—	`conf`	Total Variation Minimization and a Class of Binary MRF Models. EMMCVPR Antonin Chambolle
2004	—	`conf`	A l ECCV (4) Julien Bect, Laure Blanc-Féraud, Gilles Aubert, Antonin Chambolle
2004	J	`jnl`	An Algorithm for Total Variation Minimization and Applications. J. Math. Imaging Vis. Antonin Chambolle
2003	—	`conf`	Image Decomposition Application to SAR Images. Scale-Space Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud, Antonin Chambolle
2002	J	`jnl`	Computing the Equilibrium Configuration of Epitaxially Strained Crystalline Films. SIAM J. Appl. Math. Antonin Chambolle, Eric Bonnetier
2001	J	`jnl`	Interpreting translation-invariant wavelet shrinkage as a new image smoothing scale space. IEEE Trans. Image Process. Antonin Chambolle, Bradley J. Lucier
2000	J	`jnl`	Implementation of an adaptive finite-element approximation of the Mumford-Shah functional. Numerische Mathematik Blaise Bourdin, Antonin Chambolle
1998	J	`jnl`	Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage. IEEE Trans. Image Process. Antonin Chambolle, Ronald A. DeVore, Nam-Yong Lee, Bradley J. Lucier
1995	J	`jnl`	Image Segmentation by Variational Methods: Mumford and Shah Functional and the Discrete Approximations. SIAM J. Appl. Math. Antonin Chambolle
1994	—	`conf`	Partial Differential Equations and Image Processing. ICIP (1) Antonin Chambolle