Projected Gradient Based Color Image Decomposition. - Vincent Duval; Jean-François Aujol; Luminita A. Vese (SSVM, 2009)

The TVL1 Model: A Geometric Point of View. - Vincent Duval; Jean-François Aujol; Yann Gousseau (Multiscale Model. Simul., 2009)

Mathematical Modeling of Textures: Application to Color Image Decomposition with a Projected Gradient Algorithm. - Vincent Duval; Jean-François Aujol; Luminita A. Vese (J. Math. Imaging Vis., 2010)

Anisotropic Non-Local Means with Spatially Adaptive Patch Shapes. - Charles-Alban Deledalle; Vincent Duval; Joseph Salmon (SSVM, 2011)

A Bias-Variance Approach for the Nonlocal Means. - Vincent Duval; Jean-François Aujol; Yann Gousseau (SIAM J. Imaging Sci., 2011)

Non-local Methods with Shape-Adaptive Patches (NLM-SAP). - Charles-Alban Deledalle; Vincent Duval; Joseph Salmon (J. Math. Imaging Vis., 2012)

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). - Laurent Jacques; Christophe De Vleeschouwer; Yannick Boursier; Prasad Sudhakar; C. De Mol; Aleksandra Pizurica; Sandrine Anthoine; Pierre Vandergheynst; Pascal Frossard; Cagdas Bilen; Srdan Kitic; Nancy Bertin; et al. (CoRR, 2014)

The non degenerate source condition: Support robustness for discrete and continuous sparse deconvolution. - Vincent Duval; Gabriel Peyré (CAMSAP, 2015)

Support Recovery for Sparse Deconvolution of Positive Measures. - Quentin Denoyelle; Vincent Duval; Gabriel Peyré (CoRR, 2015)

Sparse Spikes Deconvolution on Thin Grids. - Vincent Duval; Gabriel Peyré (CoRR, 2015)

Exact Support Recovery for Sparse Spikes Deconvolution. - Vincent Duval; Gabriel Peyré (Found. Comput. Math., 2015)

A Low-Rank Approach to Off-The-Grid Sparse Deconvolution. - Paul Catala; Vincent Duval; Gabriel Peyré (CoRR, 2017)

Convergence of Entropic Schemes for Optimal Transport and Gradient Flows. - Guillaume Carlier; Vincent Duval; Gabriel Peyré; Bernhard Schmitzer (SIAM J. Math. Anal., 2017)

Sampling the Fourier Transform Along Radial Lines. - Charles Dossal; Vincent Duval; Clarice Poon (SIAM J. Numer. Anal., 2017)

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

A Low-Rank Approach to Off-the-Grid Sparse Superresolution. - Paul Catala; Vincent Duval; Gabriel Peyré (SIAM J. Imaging Sci., 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)

Sparse analysis for mesoscale convective systems tracking. - Jean-Baptiste Courbot; Vincent Duval; Bernard Legras (Signal Process. Image Commun., 2020)

Dynamical Programming for off-the-grid dynamic Inverse Problems. - Vincent Duval; Robert Tovey (CoRR, 2021)

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

Exact recovery of the support of piecewise constant images via total variation regularization. - Yohann de Castro; Vincent Duval; Romain Petit (CoRR, 2023)

Towards Off-the-Grid Algorithms for Total Variation Regularized Inverse Problems. - Yohann de Castro; Vincent Duval; Romain Petit (J. Math. Imaging Vis., 2023)

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