Jean-François Aujol

Math. Program., March, 2024

On Strong Basins of Attractions for Non-convex Sparse Spike Estimation: Upper and Lower Bounds.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., January, 2024

Projected Block Coordinate Descent for sparse spike estimation.

[BibT_eX]

[DOI]

Pierre-Jean Bénard

CoRR, 2024

2023

Convergence rates of the Heavy-Ball method under the Łojasiewicz property.

[BibT_eX]

[DOI]

Math. Program., March, 2023

Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising.

[BibT_eX]

[DOI]

CoRR, 2023

Minimizing Quotient Regularization Model.

[BibT_eX]

[DOI]

CoRR, 2023

Compressive Learning of Deep Regularization for Denoising.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

2022

Convergence Rates of the Heavy Ball Method for Quasi-strongly Convex Optimization.

[BibT_eX]

[DOI]

SIAM J. Optim., September, 2022

Compressive Learning for Patch-Based Image Denoising.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., September, 2022

Generative Adversarial Network for Pansharpening With Spectral and Spatial Discriminators.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Patch-based image Super Resolution using generalized Gaussian mixture model.

[BibT_eX]

[DOI]

Dang-Phuong-Lan Nguyen

CoRR, 2022

Fast off-the-grid sparse recovery with over-parametrized projected gradient descent.

[BibT_eX]

[DOI]

Pierre-Jean Bénard

Proceedings of the 30th European Signal Processing Conference, 2022

Piecewise linear prediction model for action tracking in sports.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Convergence rates of an inertial gradient descent algorithm under growth and flatness conditions.

[BibT_eX]

[DOI]

Math. Program., 2021

Sketched Learning for Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2020

Projected Gradient Descent for Non-Convex Sparse Spike Estimation.

[BibT_eX]

[DOI]

Arthur Leclaire

IEEE Signal Process. Lett., 2020

Convergence rate of inertial Forward-Backward algorithm beyond Nesterov's rule.

[BibT_eX]

[DOI]

Vassilis Apidopoulos

Math. Program., 2020

An algorithm for non-convex off-the-grid sparse spike estimation with a minimum separation constraint.

[BibT_eX]

[DOI]

Arthur Leclaire

CoRR, 2020

The basins of attraction of the global minimizers of non-convex inverse problems with low-dimensional models in infinite dimension.

[BibT_eX]

[DOI]

Arthur Leclaire

CoRR, 2020

PCA Reduced Gaussian Mixture Models with Applications in Superresolution.

[BibT_eX]

[DOI]

Johannes Hertrich

Dang Phoung Lan Nguyen

Dominique Bernard

Abdellativ Sa'adaldin

Gabriele Steidl

CoRR, 2020

Learning Defects in Old Movies from Manually Assisted Restoration.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Residual Dense Generative Adversarial Network For Pansharpening With Geometrical Constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Optimal Convergence Rates for Nesterov Acceleration.

[BibT_eX]

[DOI]

SIAM J. Optim., 2019

Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA).

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2019

Diffusion and inpainting of reflectance and height LiDAR orthoimages.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2019

RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud.

[BibT_eX]

[DOI]

CoRR, 2019

Visibility Estimation in Point Clouds with Variable Density.

[BibT_eX]

[DOI]

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

The Differential Inclusion Modeling FISTA Algorithm and Optimality of Convergence Rate in the Case b $\leq3$.

[BibT_eX]

[DOI]

Vassilis Apidopoulos

SIAM J. Optim., 2018

Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals.

[BibT_eX]

[DOI]

Guy Gilboa

SIAM J. Imaging Sci., 2018

Variational Methods for Normal Integration.

[BibT_eX]

[DOI]

Yvain Quéau

Jean-Denis Durou

J. Math. Imaging Vis., 2018

Normal Integration: A Survey.

[BibT_eX]

[DOI]

Yvain Quéau

Jean-Denis Durou

J. Math. Imaging Vis., 2018

The basins of attraction of the global minimizers of the non-convex sparse spikes estimation problem.

[BibT_eX]

[DOI]

CoRR, 2018

Regularised Projection of an Image Domain Triangulation for Disparity Map Refinement.

[BibT_eX]

[DOI]

Brendan Le Bouill

Proceedings of the 9th International Symposium on Signal, Image, Video and Communications, 2018

2017

Texture Reconstruction Guided by a High-Resolution Patch.

[BibT_eX]

[DOI]

Mireille El Gheche

IEEE Trans. Image Process., 2017

Interactive Video Colorization Within a Variational Framework.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2017

Variational Contrast Enhancement of Gray-Scale and RGB Images.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2017

Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation.

[BibT_eX]

[DOI]

Fabien Pierre

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

2016

Image Zoom Completion.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Guest Editorial: Scale-Space and Variational Methods.

[BibT_eX]

[DOI]

Mila Nikolova

J. Math. Imaging Vis., 2016

Texture synthesis guided by a low-resolution image.

[BibT_eX]

[DOI]

Mireille El Gheche

Ronan Fablet

Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

Hue-preserving perceptual contrast enhancement.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Visibility estimation and joint inpainting of lidar depth maps.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Automatic estimation of the noise level function for adaptive blind denoising.

[BibT_eX]

[DOI]

Proceedings of the 24th European Signal Processing Conference, 2016

2015

Stability of Over-Relaxations for the Forward-Backward Algorithm, Application to FISTA.

[BibT_eX]

[DOI]

SIAM J. Optim., 2015

Estimation of the Noise Level Function Based on a Nonparametric Detection of Homogeneous Image Regions.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2015

Luminance-Chrominance Model for Image Colorization.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2015

Edge-Based Multi-modal Registration and Application for Night Vision Devices.

[BibT_eX]

[DOI]

Baudouin Denis de Senneville

J. Math. Imaging Vis., 2015

Luminance-Hue Specification in the RGB Space.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Fundamentals of Non-Local Total Variation Spectral Theory.

[BibT_eX]

[DOI]

Guy Gilboa

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2014

Adaptive Regularization of the NL-Means: Application to Image and Video Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

Synthesizing and Mixing Stationary Gaussian Texture Models.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2014

Regularized Discrete Optimal Transport.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2014

Guest Editorial - JMIV Special Issue Mathematics and Image Analysis.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2014

Poisson Skeleton Revisited: a New Mathematical Perspective.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2014

Adaptive regularization of the NL-means for video denoising.

[BibT_eX]

[DOI]

Jean-Philippe Domenger

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Exemplar-based colorization in RGB color space.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Super-resolution from a low- and partial high-resolution image pair.

[BibT_eX]

[DOI]

Moncef Hidane

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

A Unified Model for Image Colorization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

High-Dimension Multilabel Problems: Convex or Nonconvex Relaxation?

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2013

Static and Dynamic Texture Mixing Using Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Regularized Discrete Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

A Convex Formulation for Global Histogram Based Binary Segmentation.

[BibT_eX]

[DOI]

Romain Yildizoglu

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

2012

Active contours without level sets.

[BibT_eX]

[DOI]

Romain Yildizoglu

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Compact representations of stationary dynamic textures.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

Locally Parallel Texture Modeling.

[BibT_eX]

[DOI]

Pierre Maurel

Gabriel Peyré

SIAM J. Imaging Sci., 2011

A Bias-Variance Approach for the Nonlocal Means.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2011

On the efficiency of proximal methods in CBCT and PET.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

Exemplar-Based Inpainting from a Variational Point of View.

[BibT_eX]

[DOI]

Saïd Ladjal

Simon Masnou

SIAM J. Math. Anal., 2010

Mathematical Modeling of Textures: Application to Color Image Decomposition with a Projected Gradient Algorithm.

[BibT_eX]

[DOI]

Luminita A. Vese

J. Math. Imaging Vis., 2010

2009

Local Scale Measure from the Topographic Map and Application to Remote Sensing Images.

[BibT_eX]

[DOI]

Bin Luo

Multiscale Model. Simul., 2009

Irregular to Regular Sampling, Denoising, and Deconvolution.

[BibT_eX]

[DOI]

Multiscale Model. Simul., 2009

The TVL1 Model: A Geometric Point of View.

[BibT_eX]

[DOI]

Multiscale Model. Simul., 2009

Some First-Order Algorithms for Total Variation Based Image Restoration.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2009

Local Scale Measure for Remote Sensing Images.

[BibT_eX]

[DOI]

Bin Luo

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Projected Gradient Based Color Image Decomposition.

[BibT_eX]

[DOI]

Luminita A. Vese

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Locally Parallel Textures Modeling with Adapted Hilbert Spaces.

[BibT_eX]

[DOI]

Pierre Maurel

Gabriel Peyré

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

Integrating the Normal Field of a Surface in the Presence of Discontinuities.

[BibT_eX]

[DOI]

Jean-Denis Durou

Frédéric Courteille

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

2008

Indexing of Satellite Images With Different Resolutions by Wavelet Features.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2008

A Variational Approach to Removing Multiplicative Noise.

[BibT_eX]

[DOI]

SIAM J. Appl. Math., 2008

2007

Resolution-Independent Characteristic Scale Dedicated to Satellite Images.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2007

A Nonconvex Model to Remove Multiplicative Noise.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

2006

Scale Recognition, Regularization Parameter Selection, and Meyer's G Norm in Total Variation Regularization.

[BibT_eX]

[DOI]

David M. Strong

Tony F. Chan

Multiscale Model. Simul., 2006

Color image decomposition and restoration.

[BibT_eX]

[DOI]

Sung Ha Kang

J. Vis. Commun. Image Represent., 2006

Combining geometrical and textured information to perform image classification.

[BibT_eX]

[DOI]

Tony F. Chan

J. Vis. Commun. Image Represent., 2006

Constrained and SNR-Based Solutions for <i>TV</i>-Hilbert Space Image Denoising.

[BibT_eX]

[DOI]

Guy Gilboa

J. Math. Imaging Vis., 2006

Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2006

Extrapolation of Wavelet Features for the Indexing of Satellite Images with Different Resolutions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

Characteristic Scale in Satellite Images.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

Image Decomposition into a Bounded Variation Component and an Oscillating Component.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2005

Dual Norms and Image Decomposition Models.

[BibT_eX]

[DOI]

Antonin Chambolle

Int. J. Comput. Vis., 2005

Detecting Codimension - Two Objects in an Image with Ginzburg-Landau Models.

[BibT_eX]

[DOI]

Laure Blanc-Féraud

Int. J. Comput. Vis., 2005

Structure-Texture Decomposition by a TV-Gabor Model.

[BibT_eX]

[DOI]

Proceedings of the Variational, 2005

Combined Geometric-Texture Image Classification.

[BibT_eX]

[DOI]

Tony F. Chan

Proceedings of the Variational, 2005

2003

Wavelet-based level set evolution for classification of textured images.

[BibT_eX]

[DOI]