Jean-François Aujol

发表

Poisson Skeleton Revisited: a New Mathematical Perspective

G. Aubert, J. Aujol, Jean-François Aujol, 2012, Journal of Mathematical Imaging and Vision.

Rayleigh quotient minimization for absolutely one-homogeneous functionals

Nicolas Papadakis, Guy Gilboa, Jean-François Aujol, 2019, Inverse Problems.

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

Aurélie Bugeau, Mathieu Brédif, Vincent Lepetit, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Constrained and SNR-Based Solutions for TV-Hilbert Space Image Denoising

Guy Gilboa, Jean-François Aujol, J. Aujol, 2006, Journal of Mathematical Imaging and Vision.

The TVL1 Model: A Geometric Point of View

Yann Gousseau, Jean-François Aujol, Vincent Duval, 2009, Multiscale Model. Simul..

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

Tony F. Chan, Guy Gilboa, Stanley Osher, 2006, International Journal of Computer Vision.

Image Decomposition into a Bounded Variation Component and an Oscillating Component

Antonin Chambolle, Gilles Aubert, Jean-François Aujol, 2005, Journal of Mathematical Imaging and Vision.

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

Jean-François Aujol, Charles Dossal, J. Aujol, 2015, SIAM J. Optim..

A Variational Approach to Removing Multiplicative Noise

Gilles Aubert, Jean-François Aujol, G. Aubert, 2008, SIAM J. Appl. Math..

Luminance-Chrominance Model for Image Colorization

Aurélie Bugeau, Nicolas Papadakis, Ta Vinh Thong, 2015, SIAM J. Imaging Sci..

Image Zoom Completion

Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, 2016, IEEE Transactions on Image Processing.

Texture Reconstruction Guided by a High-Resolution Patch

Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, 2017, IEEE Transactions on Image Processing.

Texture synthesis guided by a low-resolution image

Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, 2016, 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).

Scale Space and Variational Methods in Computer Vision

Almerico Murli, Fiorella Sgallari, Nikos Paragios, 2015, Lecture Notes in Computer Science.

Recent Approaches for Image Colorization

Fabien Pierre, Jean-François Aujol, J. Aujol, 2020 .

Interactive Video Colorization Within a Variational Framework

Aurélie Bugeau, Ta Vinh Thong, Fabien Pierre, 2017, SIAM J. Imaging Sci..

Exemplar-based colorization in RGB color space

Aurélie Bugeau, Nicolas Papadakis, Ta Vinh Thong, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

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

Jean-François Aujol, Charles-Alban Deledalle, Camille Sutour, 2014, IEEE Transactions on Image Processing.

Normal Integration: A Survey

Jean-Denis Durou, Jean-François Aujol, Yvain Quéau, 2017, Journal of Mathematical Imaging and Vision.

Combining geometrical and textured information to perform image classification

Tony F. Chan, Jean-François Aujol, J. Aujol, 2006, J. Vis. Commun. Image Represent..

Structure-Texture Decomposition by a TV-Gabor Model

Tony F. Chan, Guy Gilboa, Stanley Osher, 2005, VLSM.

Signed distance functions and viscosity solutions of discontinuous Hamilton-Jacobi Equations

Gilles Aubert, Jean-François Aujol, G. Aubert, 2002 .

Regularized Discrete Optimal Transport

Julien Rabin, Gabriel Peyré, Nicolas Papadakis, 2013, SIAM J. Imaging Sci..

Variational Methods for Normal Integration

Jean-Denis Durou, Jean-François Aujol, Yvain Quéau, 2017, Journal of Mathematical Imaging and Vision.

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

Aude Rondepierre, Jean-François Aujol, Charles Dossal, 2020, Mathematical Programming.

Fundamentals of Non-Local Total Variation Spectral Theory

Nicolas Papadakis, Guy Gilboa, Jean-François Aujol, 2015, SSVM.

High-Dimension Multilabel Problems: Convex or Nonconvex Relaxation?

Nicolas Papadakis, Jean-François Aujol, Vicent Caselles, 2013, SIAM J. Imaging Sci..

A Convex Formulation for Global Histogram Based Binary Segmentation

Nicolas Papadakis, Jean-François Aujol, Romain Yildizoglu, 2013, EMMCVPR.

Active contours without level sets

Nicolas Papadakis, Jean-François Aujol, Romain Yildizoglu, 2012, 2012 19th IEEE International Conference on Image Processing.

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

Jean-Denis Durou, Jean-François Aujol, Frédéric Courteille, 2009, EMMCVPR.

Some First-Order Algorithms for Total Variation Based Image Restoration

Jean-François Aujol, J. Aujol, Jean-François Aujol, 2009, Journal of Mathematical Imaging and Vision.

Irregular to Regular Sampling, Denoising, and Deconvolution

Jean-François Aujol, Andrés Almansa, Vicent Caselles, 2009, Multiscale Model. Simul..

Resolution- Independent Characteristic Scale Dedicated to Satellite Images

Bin Luo, Saïd Ladjal, Yann Gousseau, 2007, IEEE Transactions on Image Processing.

Color image decomposition and restoration

Jean-François Aujol, Sung Ha Kang, J. Aujol, 2006, J. Vis. Commun. Image Represent..

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

Gilles Aubert, Jean-François Aujol, Laure Blanc-Féraud, 2005, International Journal of Computer Vision.

Combined Geometric-Texture Image Classification

Tony F. Chan, Jean-François Aujol, J. Aujol, 2005, VLSM.

Dual Norms and Image Decomposition Models

Antonin Chambolle, Jean-François Aujol, J. Aujol, 2005, International Journal of Computer Vision.

Modeling Very Oscillating Signals. Application to Image Processing

G. Aubert, J. Aujol, Jean-François Aujol, 2005 .

Wavelet-based level set evolution for classification of textured images

Gilles Aubert, Jean-François Aujol, Laure Blanc-Féraud, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

High-dimension multi-label problems: convex or non convex relaxation?

J. Aujol, V. Caselles, N. Papadakis, 2013 .

C 0000 Society for Industrial and Applied Mathematics Irregular to Regular Sampling, Denoising, and Deconvolution *

J. Aujol, V. Caselles, G. Facciolo, 2009 .

A VARIATIONAL APPROACH TO REMOVE MULTIPLICATIVE NOISE

G. Aubert, J. Aujol, Jean-François Aujol, 2006 .

Resolution independent characteristic scale with application to satellite images

Yann Gousseau, Henri Maitre, Jean-François Aujol, 2006 .

Décomposition d'images : Application aux images RSO

G. Aubert, J. Aujol, A. Chambolle, 2003 .

Visibility Estimation in Point Clouds with Variable Density

Aurélie Bugeau, Mathieu Brédif, Pierre Biasutti, 2019, VISIGRAPP.

Convergence rate of inertial Forward–Backward algorithm beyond Nesterov’s rule

Jean-François Aujol, Charles Dossal, Vassilis Apidopoulos, 2018, Mathematical Programming.

Optimal Convergence Rates for Nesterov Acceleration

Jean-François Aujol, Charles Dossal, Aude Rondepierre, 2018, SIAM J. Optim..

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

Jean-François Aujol, Charles Dossal, Vassilis Apidopoulos, 2018, SIAM J. Optim..

A Unified Model for Image Colorization

Aurélie Bugeau, Ta Vinh Thong, Fabien Pierre, 2014, ECCV Workshops.

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

Jean-François Aujol, Luminita A. Vese, Vincent Duval, 2010, Journal of Mathematical Imaging and Vision.

Exemplar-Based Inpainting from a Variational Point of View

Saïd Ladjal, Jean-François Aujol, Simon Masnou, 2010, SIAM J. Math. Anal..

Projected Gradient Based Color Image Decomposition

Jean-François Aujol, Luminita A. Vese, Vincent Duval, 2009, SSVM.

Some algorithms for total variation based image restoration

J. Aujol, Jean-François Aujol, 2008 .

A projected gradient algorithm for color image decomposition

L. Vese, V. Duval, UniverSud Jean-Francois. Aujol, 2008 .

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

F. Lauze, A. Renaudeau, F. Pierre, 2019, SSVM.

Diffusion and inpainting of reflectance and height LiDAR orthoimages

Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau, 2019, Comput. Vis. Image Underst..

Range-Image: Incorporating Sensor Topology for Lidar Point Cloud Processing

Jean-François Aujol, Mathieu Brédif, Pierre Biasutti, 2018, Photogrammetric Engineering & Remote Sensing.

Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation

Nicolas Papadakis, Fabien Pierre, Jean-François Aujol, 2017, EMMCVPR.

DISOCCLUSION OF 3D LIDAR POINT CLOUDS USING RANGE IMAGES

P. Biasutti, J-F. Aujol, M. Brédif, 2017 .

Joint Inpainting of Depth and Reflectance with Visibility Estimation

Aurélie Bugeau, Jean-François Aujol, Marco Bevilacqua, 2017 .

Automatic estimation of the noise level function for adaptive blind denoising

Jean-François Aujol, Charles-Alban Deledalle, Camille Sutour, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Visibility estimation and joint inpainting of lidar depth maps

Aurélie Bugeau, Jean-François Aujol, Marco Bevilacqua, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Normal Integration – Part II: New Insights

J. Aujol, Jean-Denis Durou, Y. Quéau, 2016 .

Variational Contrast Enhancement of RGB Images

Gabriele Steidl, Aurélie Bugeau, Fabien Pierre, 2015 .

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

Jean-François Aujol, Charles-Alban Deledalle, Camille Sutour, 2015, SIAM J. Imaging Sci..

Luminance-Hue Specification in the RGB Space

Aurélie Bugeau, Ta Vinh Thong, Fabien Pierre, 2015, SSVM.

Adaptive regularization of the NL-means for video denoising

Jean-Philippe Domenger, Jean-François Aujol, Charles-Alban Deledalle, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Hue Constrained Image Colorization in the RGB Space

Aurélie Bugeau, Fabien Pierre, Jean-François Aujol, 2014 .

Some proximal methods for Poisson intensity CBCT and PET

J. Aujol, S. Anthoine, Y. Boursier, 2012 .

On the efficiency of proximal methods in CBCT and PET

Yannick Boursier, Jean-François Aujol, Sandrine Anthoine, 2011, 2011 18th IEEE International Conference on Image Processing.

Some proximal methods for CBCT and PET tomography

S. Anthoine, J. F. Aujol, Y. Boursier, 2011, Optical Engineering + Applications.

Locally Parallel Texture Modeling

Gabriel Peyré, Jean-François Aujol, Pierre Maurel, 2011, SIAM J. Imaging Sci..

Variational Contrast Enhancement of Gray-Scale and RGB Images

Gabriele Steidl, Aurélie Bugeau, Ta Vinh Thong, 2016, Journal of Mathematical Imaging and Vision.

Hamiltonian Approach to Shape Spaces in a Diffeomorphic Framework : from the Discontinuous Image Matching Problem to a Stochastic Growth Model

Darryl D. Holm, N. Vayatis, J. Aujol, 2009 .

Synthesizing and Mixing Stationary Gaussian Texture Models

Gui-Song Xia, Gabriel Peyré, Jean-François Aujol, 2014, SIAM J. Imaging Sci..

Static and Dynamic Texture Mixing Using Optimal Transport

Gui-Song Xia, Gabriel Peyré, Jean-François Aujol, 2013, SSVM.

Optimal Transport Mixing of Gaussian Texture Models

J. Aujol, G. Peyré, Gui-Song Xia, 2012 .

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

Jean-François Aujol, Charles-Alban Deledalle, Baudouin Denis de Senneville, 2015, Journal of Mathematical Imaging and Vision.

Compressive Learning for Patch-Based Image Denoising

J. Aujol, Yann Traonmilin, Hui Shi, 2022, SIAM J. Imaging Sci..

PCA Reduced Gaussian Mixture Models with Applications in Superresolution

G. Steidl, Y. Berthoumieu, J. Hertrich, 2020, Inverse Problems & Imaging.

Patch-based image Super Resolution using generalized Gaussian mixture model

Y. Berthoumieu, Jean-François Aujol, D. Nguyen, 2022, ArXiv.

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

C. Deledalle, Camille Sutour, Jean-François Aujol, 2014, IEEE Transactions on Image Processing.

Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals

Nicolas Papadakis, Guy Gilboa, Jean-François Aujol, 2018, SIAM J. Imaging Sci..

A Bias-Variance Approach for the Nonlocal Means

Yann Gousseau, Jean-François Aujol, Vincent Duval, 2011, SIAM J. Imaging Sci..

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

Tony F. Chan, Jean-François Aujol, David M. Strong, 2006, Multiscale Model. Simul..