Jean-François Aujol

117 papers A* 1B 10C 1Journal 74Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the impact of the parametrization of deep convolutional neural networks on post-training quantization. Trans. Mach. Learn. Res. Samy Houache, Jean-François Aujol, Yann Traonmilin
2025	J	`jnl`	FISTA Restart Using an Automatic Estimation of the Growth Parameter. J. Optim. Theory Appl. Jean-François Aujol, Charles Dossal, Hippolyte Labarrière, Aude Rondepierre
2025	J	`jnl`	From sparse recovery to plug-and-play priors, understanding trade-offs for stable recovery with generalized projected gradient descent. CoRR Ali Joundi, Yann Traonmilin, Jean-François Aujol
2025	A*	`conf`	Gradient correlation is a key ingredient to accelerate SGD with momentum. ICLR Julien Hermant, Marien Renaud, Jean-François Aujol, Charles Dossal, Aude Rondepierre
2025	J	`jnl`	Joint Structure-Texture Low-Dimensional Modeling for Image Decomposition with a Plug-and-Play Framework. SIAM J. Imaging Sci. Antoine Guennec, Jean-François Aujol, Yann Traonmilin
2025	J	`jnl`	On the impact of the parametrization of deep convolutional neural networks on post-training quantization. CoRR Samy Houache, Jean-François Aujol, Yann Traonmilin
2025	—	`conf`	Parameter-Free Structure-Texture Image Decomposition by Unrolling. SSVM (1) Laura Girometti, Jean-François Aujol, Antoine Guennec, Yann Traonmilin
2025	J	`jnl`	Parameter-free structure-texture image decomposition by unrolling. CoRR Laura Girometti, Jean-François Aujol, Antoine Guennec, Yann Traonmilin
2025	J	`jnl`	Sketched Over-Parametrized Projected Gradient Descent for Sparse Spike Estimation. IEEE Signal Process. Lett. Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol
2025	J	`jnl`	Stochastic Adaptive Gradient Descent Without Descent. CoRR Jean-François Aujol, Jérémie Bigot, Camille Castera
2024	—	`conf`	Adaptive Parameter Selection for Gradient-Sparse Plus Low Patch-Rank Recovery: Application to Image Decomposition. EUSIPCO Antoine Guennec, Jean-François Aujol, Yann Traonmilin
2024	J	`jnl`	Batch-Less Stochastic Gradient Descent for Compressive Learning of Deep Regularization for Image Denoising. J. Math. Imaging Vis. Hui Shi, Yann Traonmilin, Jean-François Aujol
2024	J	`jnl`	FISTA is an automatic geometrically optimized algorithm for strongly convex functions. Math. Program. Jean-François Aujol, Charles Dossal, Aude Rondepierre
2024	J	`jnl`	On Strong Basins of Attractions for Non-convex Sparse Spike Estimation: Upper and Lower Bounds. J. Math. Imaging Vis. Yann Traonmilin, Jean-François Aujol, Pierre-Jean Bénard, Arthur Leclaire
2024	J	`jnl`	Parameter-Free FISTA by Adaptive Restart and Backtracking. SIAM J. Optim. Jean-François Aujol, Luca Calatroni, Charles Dossal, Hippolyte Labarrière, Aude Rondepierre
2024	—	`conf`	Projected Block Coordinate Descent for Sparse Spike Estimation. EUSIPCO Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol
2024	J	`jnl`	Projected Block Coordinate Descent for sparse spike estimation. CoRR Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol
2023	J	`jnl`	Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising. CoRR Hui Shi, Yann Traonmilin, Jean-François Aujol
2023	—	`conf`	Compressive Learning of Deep Regularization for Denoising. SSVM Hui Shi, Yann Traonmilin, Jean-François Aujol
2023	J	`jnl`	Convergence rates of the Heavy-Ball method under the Łojasiewicz property. Math. Program. Jean-François Aujol, Charles Dossal, Aude Rondepierre
2023	J	`jnl`	Minimizing Quotient Regularization Model. CoRR Chao Wang, Jean-François Aujol, Guy Gilboa, Yifei Lou
2022	J	`jnl`	Compressive Learning for Patch-Based Image Denoising. SIAM J. Imaging Sci. Hui Shi, Yann Traonmilin, Jean-François Aujol
2022	J	`jnl`	Convergence Rates of the Heavy Ball Method for Quasi-strongly Convex Optimization. SIAM J. Optim. Jean-François Aujol, Charles Dossal, Aude Rondepierre
2022	—	`conf`	Fast off-the-grid sparse recovery with over-parametrized projected gradient descent. EUSIPCO Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol
2022	J	`jnl`	Generative Adversarial Network for Pansharpening With Spectral and Spatial Discriminators. IEEE Trans. Geosci. Remote. Sens. Anaïs Gastineau, Jean-François Aujol, Yannick Berthoumieu, Christian Germain
2022	J	`jnl`	Patch-based image Super Resolution using generalized Gaussian mixture model. CoRR Dang-Phuong-Lan Nguyen, Jean-François Aujol, Yannick Berthoumieu
2022	—	`conf`	Piecewise linear prediction model for action tracking in sports. EUSIPCO Axel Baldanza, Jean-François Aujol, Yann Traonmilin, François Alary
2021	J	`jnl`	Convergence rates of an inertial gradient descent algorithm under growth and flatness conditions. Math. Program. Vassilis Apidopoulos, Jean-François Aujol, Charles Dossal, Aude Rondepierre
2021	—	`conf`	Sketched Learning for Image Denoising. SSVM Hui Shi, Yann Traonmilin, Jean-François Aujol
2020	B	`conf`	A Residual Dense Generative Adversarial Network For Pansharpening With Geometrical Constraints. ICIP Anaïs Gastineau, Jean-François Aujol, Yannick Berthoumieu, Christian Germain
2020	J	`jnl`	An algorithm for non-convex off-the-grid sparse spike estimation with a minimum separation constraint. CoRR Yann Traonmilin, Jean-François Aujol, Arthur Leclaire
2020	J	`jnl`	Convergence rate of inertial Forward-Backward algorithm beyond Nesterov's rule. Math. Program. Vassilis Apidopoulos, Jean-François Aujol, Charles Dossal
2020	B	`conf`	Learning Defects in Old Movies from Manually Assisted Restoration. ICPR Arthur Renaudeau, Travis Seng, Axel Carlier, Fabien Pierre, François Lauze, Jean-François Aujol, Jean-Denis Durou
2020	J	`jnl`	PCA Reduced Gaussian Mixture Models with Applications in Superresolution. CoRR Johannes Hertrich, Dang Phoung Lan Nguyen, Jean-François Aujol, Dominique Bernard, Yannick Berthoumieu, Abdellativ Sa'adaldin, Gabriele Steidl
2020	J	`jnl`	Projected Gradient Descent for Non-Convex Sparse Spike Estimation. IEEE Signal Process. Lett. Yann Traonmilin, Jean-François Aujol, Arthur Leclaire
2020	J	`jnl`	The basins of attraction of the global minimizers of non-convex inverse problems with low-dimensional models in infinite dimension. CoRR Yann Traonmilin, Jean-François Aujol, Arthur Leclaire
2019	—	`conf`	Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies. SSVM Arthur Renaudeau, François Lauze, Fabien Pierre, Jean-François Aujol, Jean-Denis Durou
2019	J	`jnl`	Diffusion and inpainting of reflectance and height LiDAR orthoimages. Comput. Vis. Image Underst. Pierre Biasutti, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
2019	J	`jnl`	Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA). J. Math. Imaging Vis. Jean-François Aujol, Jalal Fadili, Michael Hintermüller, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl
2019	—	`conf`	LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net. ICCV Workshops Pierre Biasutti, Vincent Lepetit, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
2019	J	`jnl`	LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net. CoRR Pierre Biasutti, Vincent Lepetit, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
2019	J	`jnl`	Optimal Convergence Rates for Nesterov Acceleration. SIAM J. Optim. Jean-François Aujol, Charles Dossal, Aude Rondepierre
2019	J	`jnl`	RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud. CoRR Pierre Biasutti, Aurélie Bugeau, Jean-François Aujol, Mathieu Brédif
2019	—	`conf`	Visibility Estimation in Point Clouds with Variable Density. VISIGRAPP (4: VISAPP) Pierre Biasutti, Aurélie Bugeau, Jean-François Aujol, Mathieu Brédif
2018	J	`jnl`	Normal Integration: A Survey. J. Math. Imaging Vis. Yvain Quéau, Jean-Denis Durou, Jean-François Aujol
2018	—	`conf`	Regularised Projection of an Image Domain Triangulation for Disparity Map Refinement. ISIVC Brendan Le Bouill, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle
2018	J	`jnl`	The Differential Inclusion Modeling FISTA Algorithm and Optimality of Convergence Rate in the Case b $\leq3$. SIAM J. Optim. Vassilis Apidopoulos, Jean-François Aujol, Charles Dossal
2018	J	`jnl`	The basins of attraction of the global minimizers of the non-convex sparse spikes estimation problem. CoRR Yann Traonmilin, Jean-François Aujol
2018	J	`jnl`	Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals. SIAM J. Imaging Sci. Jean-François Aujol, Guy Gilboa, Nicolas Papadakis
2018	J	`jnl`	Variational Methods for Normal Integration. J. Math. Imaging Vis. Yvain Quéau, Jean-Denis Durou, Jean-François Aujol
2017	J	`jnl`	Interactive Video Colorization Within a Variational Framework. SIAM J. Imaging Sci. Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Vinh-Thong Ta
2017	—	`conf`	Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation. EMMCVPR Fabien Pierre, Jean-François Aujol, Charles-Alban Deledalle, Nicolas Papadakis
2017	J	`jnl`	Normal Integration: A Survey. CoRR Yvain Quéau, Jean-Denis Durou, Jean-François Aujol
2017	J	`jnl`	Texture Reconstruction Guided by a High-Resolution Patch. IEEE Trans. Image Process. Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle
2017	J	`jnl`	Variational Contrast Enhancement of Gray-Scale and RGB Images. J. Math. Imaging Vis. Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Gabriele Steidl, Vinh-Thong Ta
2017	J	`jnl`	Variational Methods for Normal Integration. CoRR Yvain Quéau, Jean-Denis Durou, Jean-François Aujol
2016	—	`conf`	Automatic estimation of the noise level function for adaptive blind denoising. EUSIPCO Camille Sutour, Jean-François Aujol, Charles-Alban Deledalle
2016	J	`jnl`	Guest Editorial: Scale-Space and Variational Methods. J. Math. Imaging Vis. Jean-François Aujol, Mila Nikolova, Nicolas Papadakis
2016	B	`conf`	Hue-preserving perceptual contrast enhancement. ICIP Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Gabriele Steidl, Vinh-Thong Ta
2016	J	`jnl`	Image Zoom Completion. IEEE Trans. Image Process. Moncef Hidane, Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle
2016	—	`conf`	Texture synthesis guided by a low-resolution image. IVMSP Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, Ronan Fablet
2016	B	`conf`	Visibility estimation and joint inpainting of lidar depth maps. ICIP Marco Bevilacqua, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
2015	J	`jnl`	Edge-Based Multi-modal Registration and Application for Night Vision Devices. J. Math. Imaging Vis. Camille Sutour, Jean-François Aujol, Charles-Alban Deledalle, Baudouin Denis de Senneville
2015	J	`jnl`	Estimation of the Noise Level Function Based on a Nonparametric Detection of Homogeneous Image Regions. SIAM J. Imaging Sci. Camille Sutour, Charles-Alban Deledalle, Jean-François Aujol
2015	—	`conf`	Fundamentals of Non-Local Total Variation Spectral Theory. SSVM Jean-François Aujol, Guy Gilboa, Nicolas Papadakis
2015	J	`jnl`	Luminance-Chrominance Model for Image Colorization. SIAM J. Imaging Sci. Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta
2015	—	`conf`	Luminance-Hue Specification in the RGB Space. SSVM Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Vinh-Thong Ta
2015	—	`ed.`	Scale Space and Variational Methods in Computer Vision - 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings SSVM Jean-François Aujol, Mila Nikolova, Nicolas Papadakis
2015	J	`jnl`	Stability of Over-Relaxations for the Forward-Backward Algorithm, Application to FISTA. SIAM J. Optim. Jean-François Aujol, Charles Dossal
2014	—	`conf`	A Unified Model for Image Colorization. ECCV Workshops (3) Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Vinh-Thong Ta
2014	J	`jnl`	Adaptive Regularization of the NL-Means: Application to Image and Video Denoising. IEEE Trans. Image Process. Camille Sutour, Charles-Alban Deledalle, Jean-François Aujol
2014	B	`conf`	Adaptive regularization of the NL-means for video denoising. ICIP Camille Sutour, Jean-François Aujol, Charles-Alban Deledalle, Jean-Philippe Domenger
2014	B	`conf`	Exemplar-based colorization in RGB color space. ICIP Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta
2014	J	`jnl`	Guest Editorial - JMIV Special Issue Mathematics and Image Analysis. J. Math. Imaging Vis. Gabriel Peyré, Jalal Fadili, Jean-François Aujol, Laurent D. Cohen
2014	J	`jnl`	Poisson Skeleton Revisited: a New Mathematical Perspective. J. Math. Imaging Vis. Gilles Aubert, Jean-François Aujol
2014	J	`jnl`	Regularized Discrete Optimal Transport. SIAM J. Imaging Sci. Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol
2014	B	`conf`	Super-resolution from a low- and partial high-resolution image pair. ICIP Moncef Hidane, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle
2014	J	`jnl`	Synthesizing and Mixing Stationary Gaussian Texture Models. SIAM J. Imaging Sci. Gui-Song Xia, Sira Ferradans, Gabriel Peyré, Jean-François Aujol
2013	—	`conf`	A Convex Formulation for Global Histogram Based Binary Segmentation. EMMCVPR Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis
2013	J	`jnl`	High-Dimension Multilabel Problems: Convex or Nonconvex Relaxation? SIAM J. Imaging Sci. Nicolas Papadakis, Romain Yildizoglu, Jean-François Aujol, Vicent Caselles
2013	—	`conf`	Regularized Discrete Optimal Transport. SSVM Sira Ferradans, Nicolas Papadakis, Julien Rabin, Gabriel Peyré, Jean-François Aujol
2013	J	`jnl`	Regularized Discrete Optimal Transport. CoRR Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol
2013	—	`conf`	Static and Dynamic Texture Mixing Using Optimal Transport. SSVM Sira Ferradans, Gui-Song Xia, Gabriel Peyré, Jean-François Aujol
2012	B	`conf`	Active contours without level sets. ICIP Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis
2012	B	`conf`	Compact representations of stationary dynamic textures. ICIP Gui-Song Xia, Sira Ferradans, Gabriel Peyré, Jean-François Aujol
2011	J	`jnl`	A Bias-Variance Approach for the Nonlocal Means. SIAM J. Imaging Sci. Vincent Duval, Jean-François Aujol, Yann Gousseau
2011	J	`jnl`	Locally Parallel Texture Modeling. SIAM J. Imaging Sci. Pierre Maurel, Jean-François Aujol, Gabriel Peyré
2011	B	`conf`	On the efficiency of proximal methods in CBCT and PET. ICIP Sandrine Anthoine, Jean-François Aujol, Yannick Boursier, Clothilde Mélot
2010	J	`jnl`	Exemplar-Based Inpainting from a Variational Point of View. SIAM J. Math. Anal. Jean-François Aujol, Saïd Ladjal, Simon Masnou
2010	J	`jnl`	Mathematical Modeling of Textures: Application to Color Image Decomposition with a Projected Gradient Algorithm. J. Math. Imaging Vis. Vincent Duval, Jean-François Aujol, Luminita A. Vese
2009	—	`conf`	Integrating the Normal Field of a Surface in the Presence of Discontinuities. EMMCVPR Jean-Denis Durou, Jean-François Aujol, Frédéric Courteille
2009	J	`jnl`	Irregular to Regular Sampling, Denoising, and Deconvolution. Multiscale Model. Simul. Gabriele Facciolo, Andrés Almansa, Jean-François Aujol, Vicent Caselles
2009	—	`conf`	Local Scale Measure for Remote Sensing Images. SSVM Bin Luo, Jean-François Aujol, Yann Gousseau
2009	J	`jnl`	Local Scale Measure from the Topographic Map and Application to Remote Sensing Images. Multiscale Model. Simul. Bin Luo, Jean-François Aujol, Yann Gousseau
2009	—	`conf`	Locally Parallel Textures Modeling with Adapted Hilbert Spaces. EMMCVPR Pierre Maurel, Jean-François Aujol, Gabriel Peyré
2009	—	`conf`	Projected Gradient Based Color Image Decomposition. SSVM Vincent Duval, Jean-François Aujol, Luminita A. Vese
2009	J	`jnl`	Some First-Order Algorithms for Total Variation Based Image Restoration. J. Math. Imaging Vis. Jean-François Aujol
2009	J	`jnl`	The TVL1 Model: A Geometric Point of View. Multiscale Model. Simul. Vincent Duval, Jean-François Aujol, Yann Gousseau
2008	J	`jnl`	A Variational Approach to Removing Multiplicative Noise. SIAM J. Appl. Math. Gilles Aubert, Jean-François Aujol
2008	J	`jnl`	Indexing of Satellite Images With Different Resolutions by Wavelet Features. IEEE Trans. Image Process. Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal
2007	—	`conf`	A Nonconvex Model to Remove Multiplicative Noise. SSVM Gilles Aubert, Jean-François Aujol
2007	J	`jnl`	Resolution-Independent Characteristic Scale Dedicated to Satellite Images. IEEE Trans. Image Process. Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal, Henri Maître
2006	—	`conf`	Characteristic Scale in Satellite Images. ICASSP (2) Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal, Henri Maître
2006	J	`jnl`	Color image decomposition and restoration. J. Vis. Commun. Image Represent. Jean-François Aujol, Sung Ha Kang
2006	J	`jnl`	Combining geometrical and textured information to perform image classification. J. Vis. Commun. Image Represent. Jean-François Aujol, Tony F. Chan
2006	J	`jnl`	Constrained and SNR-Based Solutions for J. Math. Imaging Vis. Jean-François Aujol, Guy Gilboa
2006	C	`conf`	Extrapolation of Wavelet Features for the Indexing of Satellite Images with Different Resolutions. IGARSS Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal
2006	J	`jnl`	Scale Recognition, Regularization Parameter Selection, and Meyer's G Norm in Total Variation Regularization. Multiscale Model. Simul. David M. Strong, Jean-François Aujol, Tony F. Chan
2006	J	`jnl`	Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection. Int. J. Comput. Vis. Jean-François Aujol, Guy Gilboa, Tony F. Chan, Stanley J. Osher
2005	—	`conf`	Combined Geometric-Texture Image Classification. VLSM Jean-François Aujol, Tony F. Chan
2005	J	`jnl`	Detecting Codimension - Two Objects in an Image with Ginzburg-Landau Models. Int. J. Comput. Vis. Gilles Aubert, Jean-François Aujol, Laure Blanc-Féraud
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`	Structure-Texture Decomposition by a TV-Gabor Model. VLSM Jean-François Aujol, Guy Gilboa, Tony F. Chan, Stanley J. Osher
2003	—	`conf`	Image Decomposition Application to SAR Images. Scale-Space Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud, Antonin Chambolle
2003	—	`conf`	Wavelet-based level set evolution for classification of textured images. ICIP (2) Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud
2003	J	`jnl`	Wavelet-based level set evolution for classification of textured images. IEEE Trans. Image Process. Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud