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

Wavelet-based level set evolution for classification of textured images. - Jean-François Aujol; Gilles Aubert; Laure Blanc-Féraud (IEEE Trans. Image Process., 2003)

Combined Geometric-Texture Image Classification. - Jean-François Aujol; Tony F. Chan (VLSM, 2005)

Structure-Texture Decomposition by a TV-Gabor Model. - Jean-François Aujol; Guy Gilboa; Tony F. Chan; Stanley J. Osher (VLSM, 2005)

Detecting Codimension - Two Objects in an Image with Ginzburg-Landau Models. - Gilles Aubert; Jean-François Aujol; Laure Blanc-Féraud (Int. J. Comput. Vis., 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)

Characteristic Scale in Satellite Images. - Bin Luo 005; Jean-François Aujol; Yann Gousseau; Saïd Ladjal; Henri Maître (ICASSP (2), 2006)

Extrapolation of Wavelet Features for the Indexing of Satellite Images with Different Resolutions. - Bin Luo 005; Jean-François Aujol; Yann Gousseau; Saïd Ladjal (IGARSS, 2006)

Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection. - Jean-François Aujol; Guy Gilboa; Tony F. Chan; Stanley J. Osher (Int. J. Comput. Vis., 2006)

Constrained and SNR-Based Solutions for TV-Hilbert Space Image Denoising. - Jean-François Aujol; Guy Gilboa (J. Math. Imaging Vis., 2006)

Combining geometrical and textured information to perform image classification. - Jean-François Aujol; Tony F. Chan (J. Vis. Commun. Image Represent., 2006)

Color image decomposition and restoration. - Jean-François Aujol; Sung Ha Kang (J. Vis. Commun. Image Represent., 2006)

Scale Recognition, Regularization Parameter Selection, and Meyer's G Norm in Total Variation Regularization. - David M. Strong; Jean-François Aujol; Tony F. Chan (Multiscale Model. Simul., 2006)

A Nonconvex Model to Remove Multiplicative Noise. - Gilles Aubert; Jean-François Aujol (SSVM, 2007)

Resolution-Independent Characteristic Scale Dedicated to Satellite Images. - Bin Luo 005; Jean-François Aujol; Yann Gousseau; Saïd Ladjal; Henri Maître (IEEE Trans. Image Process., 2007)

A Variational Approach to Removing Multiplicative Noise. - Gilles Aubert; Jean-François Aujol (SIAM J. Appl. Math., 2008)

Indexing of Satellite Images With Different Resolutions by Wavelet Features. - Bin Luo 005; Jean-François Aujol; Yann Gousseau; Saïd Ladjal (IEEE Trans. Image Process., 2008)

Integrating the Normal Field of a Surface in the Presence of Discontinuities. - Jean-Denis Durou; Jean-François Aujol; Frédéric Courteille (EMMCVPR, 2009)

Locally Parallel Textures Modeling with Adapted Hilbert Spaces. - Pierre Maurel; Jean-François Aujol; Gabriel Peyré (EMMCVPR, 2009)

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

Local Scale Measure for Remote Sensing Images. - Bin Luo 005; Jean-François Aujol; Yann Gousseau (SSVM, 2009)

Some First-Order Algorithms for Total Variation Based Image Restoration. - Jean-François Aujol (J. Math. Imaging Vis., 2009)

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

Irregular to Regular Sampling, Denoising, and Deconvolution. - Gabriele Facciolo; Andrés Almansa; Jean-François Aujol; Vicent Caselles (Multiscale Model. Simul., 2009)

Local Scale Measure from the Topographic Map and Application to Remote Sensing Images. - Bin Luo 005; 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)

Exemplar-Based Inpainting from a Variational Point of View. - Jean-François Aujol; Saïd Ladjal; Simon Masnou (SIAM J. Math. Anal., 2010)

On the efficiency of proximal methods in CBCT and PET. - Sandrine Anthoine; Jean-François Aujol; Yannick Boursier; Clothilde Mélot (ICIP, 2011)

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

Locally Parallel Texture Modeling. - Pierre Maurel; Jean-François Aujol; Gabriel Peyré (SIAM J. Imaging Sci., 2011)

Compact representations of stationary dynamic textures. - Gui-Song Xia; Sira Ferradans; Gabriel Peyré; Jean-François Aujol (ICIP, 2012)

Active contours without level sets. - Romain Yildizoglu; Jean-François Aujol; Nicolas Papadakis (ICIP, 2012)

A Convex Formulation for Global Histogram Based Binary Segmentation. - Romain Yildizoglu; Jean-François Aujol; Nicolas Papadakis (EMMCVPR, 2013)

Regularized Discrete Optimal Transport. - Sira Ferradans; Nicolas Papadakis; Julien Rabin; Gabriel Peyré; Jean-François Aujol (SSVM, 2013)

Static and Dynamic Texture Mixing Using Optimal Transport. - Sira Ferradans; Gui-Song Xia; Gabriel Peyré; Jean-François Aujol (SSVM, 2013)

High-Dimension Multilabel Problems: Convex or Nonconvex Relaxation? - Nicolas Papadakis; Romain Yildizoglu; Jean-François Aujol; Vicent Caselles (SIAM J. Imaging Sci., 2013)

A Unified Model for Image Colorization. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Vinh-Thong Ta 002 (ECCV Workshops (3), 2014)

Super-resolution from a low- and partial high-resolution image pair. - Moncef Hidane; Jean-François Aujol; Yannick Berthoumieu; Charles-Alban Deledalle (ICIP, 2014)

Exemplar-based colorization in RGB color space. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Nicolas Papadakis; Vinh-Thong Ta 002 (ICIP, 2014)

Adaptive regularization of the NL-means for video denoising. - Camille Sutour; Jean-François Aujol; Charles-Alban Deledalle; Jean-Philippe Domenger (ICIP, 2014)

Poisson Skeleton Revisited: a New Mathematical Perspective. - Gilles Aubert; Jean-François Aujol (J. Math. Imaging Vis., 2014)

Guest Editorial - JMIV Special Issue Mathematics and Image Analysis. - Gabriel Peyré; Jalal Fadili; Jean-François Aujol; Laurent D. Cohen (J. Math. Imaging Vis., 2014)

Regularized Discrete Optimal Transport. - Sira Ferradans; Nicolas Papadakis; Gabriel Peyré; Jean-François Aujol (SIAM J. Imaging Sci., 2014)

Synthesizing and Mixing Stationary Gaussian Texture Models. - Gui-Song Xia; Sira Ferradans; Gabriel Peyré; Jean-François Aujol (SIAM J. Imaging Sci., 2014)

Adaptive Regularization of the NL-Means: Application to Image and Video Denoising. - Camille Sutour; Charles-Alban Deledalle; Jean-François Aujol (IEEE Trans. Image Process., 2014)

Fundamentals of Non-Local Total Variation Spectral Theory. - Jean-François Aujol; Guy Gilboa; Nicolas Papadakis (SSVM, 2015)

Luminance-Hue Specification in the RGB Space. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Vinh-Thong Ta 002 (SSVM, 2015)

Edge-Based Multi-modal Registration and Application for Night Vision Devices. - Camille Sutour; Jean-François Aujol; Charles-Alban Deledalle; Baudouin Denis de Senneville (J. Math. Imaging Vis., 2015)

Luminance-Chrominance Model for Image Colorization. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Nicolas Papadakis; Vinh-Thong Ta 002 (SIAM J. Imaging Sci., 2015)

Estimation of the Noise Level Function Based on a Nonparametric Detection of Homogeneous Image Regions. - Camille Sutour; Charles-Alban Deledalle; Jean-François Aujol (SIAM J. Imaging Sci., 2015)

Stability of Over-Relaxations for the Forward-Backward Algorithm, Application to FISTA. - Jean-François Aujol; Charles Dossal (SIAM J. Optim., 2015)

Automatic estimation of the noise level function for adaptive blind denoising. - Camille Sutour; Jean-François Aujol; Charles-Alban Deledalle (EUSIPCO, 2016)

Visibility estimation and joint inpainting of lidar depth maps. - Marco Bevilacqua; Jean-François Aujol; Mathieu Brédif; Aurélie Bugeau (ICIP, 2016)

Hue-preserving perceptual contrast enhancement. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Gabriele Steidl; Vinh-Thong Ta 002 (ICIP, 2016)

Texture synthesis guided by a low-resolution image. - Mireille El Gheche; Jean-François Aujol; Yannick Berthoumieu; Charles-Alban Deledalle; Ronan Fablet (IVMSP, 2016)

Guest Editorial: Scale-Space and Variational Methods. - Jean-François Aujol; Mila Nikolova; Nicolas Papadakis (J. Math. Imaging Vis., 2016)

Image Zoom Completion. - Moncef Hidane; Mireille El Gheche; Jean-François Aujol; Yannick Berthoumieu; Charles-Alban Deledalle (IEEE Trans. Image Process., 2016)

Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation. - Fabien Pierre; Jean-François Aujol; Charles-Alban Deledalle; Nicolas Papadakis (EMMCVPR, 2017)

Variational Contrast Enhancement of Gray-Scale and RGB Images. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Gabriele Steidl; Vinh-Thong Ta 002 (J. Math. Imaging Vis., 2017)

Interactive Video Colorization Within a Variational Framework. - Fabien Pierre; Jean-François Aujol; Aurélie Bugeau; Vinh-Thong Ta 002 (SIAM J. Imaging Sci., 2017)

Texture Reconstruction Guided by a High-Resolution Patch. - Mireille El Gheche; Jean-François Aujol; Yannick Berthoumieu; Charles-Alban Deledalle (IEEE Trans. Image Process., 2017)

Regularised Projection of an Image Domain Triangulation for Disparity Map Refinement. - Brendan Le Bouill; Jean-François Aujol; Yannick Berthoumieu; Charles-Alban Deledalle (ISIVC, 2018)

The basins of attraction of the global minimizers of the non-convex sparse spikes estimation problem. - Yann Traonmilin; Jean-François Aujol (CoRR, 2018)

Normal Integration: A Survey. - Yvain Quéau; Jean-Denis Durou; Jean-François Aujol (J. Math. Imaging Vis., 2018)

Variational Methods for Normal Integration. - Yvain Quéau; Jean-Denis Durou; Jean-François Aujol (J. Math. Imaging Vis., 2018)

Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals. - Jean-François Aujol; Guy Gilboa; Nicolas Papadakis (SIAM J. Imaging Sci., 2018)

The Differential Inclusion Modeling FISTA Algorithm and Optimality of Convergence Rate in the Case b $ leq3$. - Vassilis Apidopoulos; Jean-François Aujol; Charles Dossal (SIAM J. Optim., 2018)

LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net. - Pierre Biasutti; Vincent Lepetit; Jean-François Aujol; Mathieu Brédif; Aurélie Bugeau (ICCV Workshops, 2019)

Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies. - Arthur Renaudeau; François Lauze; Fabien Pierre; Jean-François Aujol; Jean-Denis Durou (SSVM, 2019)

Visibility Estimation in Point Clouds with Variable Density. - Pierre Biasutti; Aurélie Bugeau; Jean-François Aujol; Mathieu Brédif (VISIGRAPP (4: VISAPP), 2019)

RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud. - Pierre Biasutti; Aurélie Bugeau; Jean-François Aujol; Mathieu Brédif (CoRR, 2019)

Diffusion and inpainting of reflectance and height LiDAR orthoimages. - Pierre Biasutti; Jean-François Aujol; Mathieu Brédif; Aurélie Bugeau (Comput. Vis. Image Underst., 2019)

Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA). - Jean-François Aujol; Jalal Fadili; Michael Hintermüller; Gabriel Peyré; Gerlind Plonka-Hoch; Gabriele Steidl (J. Math. Imaging Vis., 2019)

Optimal Convergence Rates for Nesterov Acceleration. - Jean-François Aujol; Charles Dossal; Aude Rondepierre (SIAM J. Optim., 2019)

A Residual Dense Generative Adversarial Network For Pansharpening With Geometrical Constraints. - Anaïs Gastineau; Jean-François Aujol; Yannick Berthoumieu; Christian Germain (ICIP, 2020)

Learning Defects in Old Movies from Manually Assisted Restoration. - Arthur Renaudeau; Travis Seng; Axel Carlier; Fabien Pierre; François Lauze; Jean-François Aujol; Jean-Denis Durou (ICPR, 2020)

PCA Reduced Gaussian Mixture Models with Applications in Superresolution. - Johannes Hertrich; Dang Phoung Lan Nguyen; Jean-François Aujol; Dominique Bernard; Yannick Berthoumieu; Abdellativ Sa'adaldin; Gabriele Steidl (CoRR, 2020)

The basins of attraction of the global minimizers of non-convex inverse problems with low-dimensional models in infinite dimension. - Yann Traonmilin; Jean-François Aujol; Arthur Leclaire (CoRR, 2020)

An algorithm for non-convex off-the-grid sparse spike estimation with a minimum separation constraint. - Yann Traonmilin; Jean-François Aujol; Arthur Leclaire (CoRR, 2020)

Convergence rate of inertial Forward-Backward algorithm beyond Nesterov's rule. - Vassilis Apidopoulos; Jean-François Aujol; Charles Dossal (Math. Program., 2020)

Projected Gradient Descent for Non-Convex Sparse Spike Estimation. - Yann Traonmilin; Jean-François Aujol; Arthur Leclaire (IEEE Signal Process. Lett., 2020)

Sketched Learning for Image Denoising. - Hui Shi; Yann Traonmilin; Jean-François Aujol (SSVM, 2021)

Convergence rates of an inertial gradient descent algorithm under growth and flatness conditions. - Vassilis Apidopoulos; Jean-François Aujol; Charles Dossal; Aude Rondepierre (Math. Program., 2021)

Piecewise linear prediction model for action tracking in sports. - Axel Baldanza; Jean-François Aujol; Yann Traonmilin; François Alary (EUSIPCO, 2022)

Fast off-the-grid sparse recovery with over-parametrized projected gradient descent. - Pierre-Jean Bénard; Yann Traonmilin; Jean-François Aujol (EUSIPCO, 2022)

Patch-based image Super Resolution using generalized Gaussian mixture model. - Dang-Phuong-Lan Nguyen; Jean-François Aujol; Yannick Berthoumieu (CoRR, 2022)

Generative Adversarial Network for Pansharpening With Spectral and Spatial Discriminators. - Anaïs Gastineau; Jean-François Aujol; Yannick Berthoumieu; Christian Germain (IEEE Trans. Geosci. Remote. Sens., 2022)

Compressive Learning for Patch-Based Image Denoising. - Hui Shi; Yann Traonmilin; Jean-François Aujol (SIAM J. Imaging Sci., 2022)

Convergence Rates of the Heavy Ball Method for Quasi-strongly Convex Optimization. - Jean-François Aujol; Charles Dossal; Aude Rondepierre (SIAM J. Optim., 2022)

Compressive Learning of Deep Regularization for Denoising. - Hui Shi; Yann Traonmilin; Jean-François Aujol (SSVM, 2023)

Minimizing Quotient Regularization Model. - Chao Wang 067; Jean-François Aujol; Guy Gilboa; Yifei Lou (CoRR, 2023)

Convergence rates of the Heavy-Ball method under the Łojasiewicz property. - Jean-François Aujol; Charles Dossal; Aude Rondepierre (Math. Program., 2023)

Projected Block Coordinate Descent for Sparse Spike Estimation. - Pierre-Jean Bénard; Yann Traonmilin; Jean-François Aujol (EUSIPCO, 2024)

Adaptive Parameter Selection for Gradient-Sparse Plus Low Patch-Rank Recovery: Application to Image Decomposition. - Antoine Guennec; Jean-François Aujol; Yann Traonmilin (EUSIPCO, 2024)

Parameter-Free FISTA by Adaptive Restart and Backtracking. - Jean-François Aujol; Luca Calatroni; Charles Dossal; Hippolyte Labarrière; Aude Rondepierre (SIAM J. Optim., 2024)

On Strong Basins of Attractions for Non-convex Sparse Spike Estimation: Upper and Lower Bounds. - Yann Traonmilin; Jean-François Aujol; Pierre-Jean Bénard; Arthur Leclaire (J. Math. Imaging Vis., 2024)

FISTA is an automatic geometrically optimized algorithm for strongly convex functions. - Jean-François Aujol; Charles Dossal; Aude Rondepierre (Math. Program., 2024)

Batch-Less Stochastic Gradient Descent for Compressive Learning of Deep Regularization for Image Denoising. - Hui Shi; Yann Traonmilin; Jean-François Aujol (J. Math. Imaging Vis., 2024)

Gradient correlation is a key ingredient to accelerate SGD with momentum. - Julien Hermant; Marien Renaud; Jean-François Aujol; Charles Dossal; Aude Rondepierre (ICLR, 2025)

Parameter-Free Structure-Texture Image Decomposition by Unrolling. - Laura Girometti; Jean-François Aujol; Antoine Guennec; Yann Traonmilin (SSVM (1), 2025)

Joint Structure-Texture Low-Dimensional Modeling for Image Decomposition with a Plug-and-Play Framework. - Antoine Guennec; Jean-François Aujol; Yann Traonmilin (SIAM J. Imaging Sci., 2025)

Sketched Over-Parametrized Projected Gradient Descent for Sparse Spike Estimation. - Pierre-Jean Bénard; Yann Traonmilin; Jean-François Aujol (IEEE Signal Process. Lett., 2025)

On the impact of the parametrization of deep convolutional neural networks on post-training quantization. - Samy Houache; Jean-François Aujol; Yann Traonmilin (CoRR, 2025)

FISTA Restart Using an Automatic Estimation of the Growth Parameter. - Jean-François Aujol; Charles Dossal; Hippolyte Labarrière; Aude Rondepierre (J. Optim. Theory Appl., 2025)