2026 Jean-François Aujol: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	38	10225	9938	244	238	152	6207

Overview

Jean-François Aujol is a researcher affiliated with the University of Bordeaux in France. Their work primarily spans the fields of computer science and engineering, with a particular emphasis on computer vision, pattern recognition, and computational mechanics.

Their research topics include:

Sparse and Compressive Sensing Techniques
Image and Signal Denoising Methods
Stochastic Gradient Optimization Techniques
Advanced Image Processing Techniques
Photoacoustic and Ultrasonic Imaging
Optimization and Variational Analysis
Advanced Optimization Algorithms Research

Among recent publications associated with or closely related to Jean-François Aujol's field of study are:

"Generative Adversarial Network for Pansharpening With Spectral and Spatial Discriminators," 2021, IEEE Transactions on Geoscience and Remote Sensing
"Projected Gradient Descent for Non-Convex Sparse Spike Estimation," 2020, IEEE Signal Processing Letters
"Convergence rates of an inertial gradient descent algorithm under growth and flatness conditions," 2020, Mathematical Programming
"Convergence Rates of the Heavy Ball Method for Quasi-strongly Convex Optimization," 2022, SIAM Journal on Optimization
"Convergence rates of the Heavy-Ball method under the Łojasiewicz property," 2022, Mathematical Programming

Frequent co-authors collaborating with Jean-François Aujol include:

Yann Traonmilin
Aude Rondepierre
Charles Dossal
Hippolyte Labarrière
Yannick Berthoumieu

Publications have often appeared in venues such as:

arXiv (Cornell University)
Mathematical Programming
IEEE Signal Processing Letters
SIAM Journal on Optimization
SIAM Journal on Imaging Sciences

Their research contributions show a significant focus on optimization methods, particularly involving gradient descent algorithms and heavy ball methods. These methods are explored both theoretically and in applied contexts related to imaging and signal processing. The range of topics also suggests an interdisciplinary approach blending mathematical programming with applications in engineering and computer vision.

Best Publications

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

Jean-François Aujol;Guy Gilboa;Tony Chan;Stanley Osher

839
Citations
A Variational Approach to Removing Multiplicative Noise

Gilles Aubert;Jean-François Aujol

735
Citations
Image Decomposition into a Bounded Variation Component and an Oscillating Component

Jean-François Aujol;Gilles Aubert;Laure Blanc-Féraud;Antonin Chambolle

482
Citations
Dual Norms and Image Decomposition Models

Jean-François Aujol;Antonin Chambolle

475
Citations
Wavelet-based level set evolution for classification of textured images

J.-F. Aujol;G. Aubert;L. Blanc-Feraud

222
Citations
Regularized Discrete Optimal Transport

Sira Ferradans;Nicolas Papadakis;Gabriel Peyré;Jean-François Aujol

209
Citations
Some First-Order Algorithms for Total Variation Based Image Restoration

Jean-François Aujol

200
Citations
Adaptive regularization of the NL-means: Application to image and video denoising

Camille Sutour;Charles-Alban Deledalle;Jean-François Aujol

167
Citations
Modeling very oscillating signals. Application to image processing

Gilles Aubert;Jean-Francois Aujol;Jean-Francois Aujol

145
Citations
Exemplar-Based Inpainting from a Variational Point of View

Jean-François Aujol;Saïd Ladjal Ladjal;Simon Masnou

135
Citations
Normal Integration: A Survey

Yvain Quéau;Jean-Denis Durou;Jean-François Aujol

124
Citations
Color image decomposition and restoration

Jean-François Aujol;Sung Ha Kang

117
Citations
The TVL1 Model: A Geometric Point of View

Vincent Duval;Jean-François Aujol;Yann Gousseau

112
Citations
A Bias-Variance Approach for the Nonlocal Means

Vincent Duval;Jean-François Aujol;Yann Gousseau

111
Citations
Stability of over-relaxations for the Forward-Backward algorithm, application to FISTA

Jean-François Aujol;Charles Dossal

98
Citations
Scale Recognition, Regularization Parameter Selection, and Meyer's G Norm in Total Variation Regularization

David M. Strong;Jean Francois Aujol;Tony F. Chan

95
Citations
Image decomposition application to SAR images

Jean-François Aujol;Gilles Aubert;Laure Blanc-Féraud;Antonin Chambolle

88
Citations
Constrained and SNR-Based Solutions for TV-Hilbert Space Image Denoising

Jean-François Aujol;Guy Gilboa

82
Citations
Regularized Discrete Optimal Transport

Sira Ferradans;Nicolas Papadakis;Julien Rabin;Gabriel Peyré

82
Citations
Integrating the Normal Field of a Surface in the Presence of Discontinuities

Jean-Denis Durou;Jean-François Aujol;Frédéric Courteille

77
Citations
Scale Space and Variational Methods in Computer Vision

Jean-François Aujol;Mila Nikolova;Nicolas Papadakis

5
Citations
The TVL1 model : a geometric point of view Une étude géométrique du modèle TVL1

Vincent Duval;Jean-François Aujol;Yann Gousseau

0
Citations

Frequent Co-Authors

Yann Gousseau Télécom ParisTech

Gabriel Peyré École Normale Supérieure

Bin Luo Anhui University

Gilles Aubert Université Côte d'Azur

Tony F. Chan University of California, Los Angeles

Gui-Song Xia Wuhan University

Vincent Lepetit École des Ponts ParisTech

Vicent Caselles University of Valencia

Jalal M. Fadili École Nationale Supérieure d'Ingénieurs de Caen

Mila Nikolova École Normale Supérieure Paris-Saclay

External Links

Personal website of Jean-François Aujol

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