Jean-Christophe Pesquet

Orcid: 0000-0002-5943-8061

Affiliations:
  • University Paris-Est, France


According to our database1, Jean-Christophe Pesquet authored at least 309 papers between 1989 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2012, "For contributions to statistical methods for signal recovery".

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially Varying Generalised Gaussian Models.
J. Math. Imaging Vis., August, 2024

EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks.
ACM Trans. Intell. Syst. Technol., April, 2024

Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions.
IEEE Trans. Signal Process., 2024

Training Graph Neural Networks Subject to a Tight Lipschitz Constraint.
Trans. Mach. Learn. Res., 2024

An unrolled half-quadratic approach for sparse signal recovery in spectroscopy.
Signal Process., 2024

Solution of Mismatched Monotone+Lipschitz Inclusion Problems.
SIAM J. Optim., 2024

Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning.
CoRR, 2024

Learning truly monotone operators with applications to nonlinear inverse problems.
CoRR, 2024

Are Almost Non-Negative Neural Networks Universal Approximators?
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Unrolled Deep Networks for Sparse Signal Restoration in Analytical Chemistry.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Deep Learning Method for Accessible Eccentric Photorefraction.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

A Transductive Few-Shot Learning Approach for Classification of Digital Histopathological Slides from Liver Cancer.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Transductive Zero-Shot and Few-Shot CLIP.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Efficient bayes inference in neural networks through adaptive importance sampling.
J. Frankl. Inst., November, 2023

A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery.
J. Math. Imaging Vis., April, 2023

Convergence Results for Primal-Dual Algorithms in the Presence of Adjoint Mismatch.
SIAM J. Imaging Sci., March, 2023

Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution.
IEEE Trans. Image Process., 2023

Neural Speed-Torque Estimator for Induction Motors in the Presence of Measurement Noise.
IEEE Trans. Ind. Electron., 2023

Deep Unfolding of the DBFB Algorithm With Application to ROI CT Imaging With Limited Angular Density.
IEEE Trans. Computational Imaging, 2023

Aggregated f-average Neural Network for Interpretable Ensembling.
CoRR, 2023

Majorization-Minimization for sparse SVMs.
CoRR, 2023

A Proximal Approach to IVA-G with Convergence Guarantees.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Variational Inequality Model for Learning Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Stability of Unfolded Forward-Backward to Perturbations in Observed Data.
Proceedings of the 31st European Signal Processing Conference, 2023

Proximal Splitting Adversarial Attack for Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Dynamic Neural Network for Lossy-to-Lossless Image Coding.
IEEE Trans. Image Process., 2022

Unmatched Preconditioning of the Proximal Gradient Algorithm.
IEEE Signal Process. Lett., 2022

A Novel Task-Based reconstruction approach for digital breast tomosynthesis.
Medical Image Anal., 2022

Deep transform and metric learning network: Wedding deep dictionary learning and neural network.
Neurocomputing, 2022

Distributed algorithms for scalable proximity operator computation and application to video denoising.
Digit. Signal Process., 2022

A Variational Approach for Joint Image Recovery and Features Extraction Based on Spatially Varying Generalised Gaussian Models.
CoRR, 2022

Proximal Splitting Adversarial Attacks for Semantic Segmentation.
CoRR, 2022

Safe Design of Stable Neural Networks for Fault Detection in Small UAVs.
Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops, 2022

Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Bregman Majorization-Minimization Framework for Pet Image Reconstruction.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

A Convex Formulation for the Robust Estimation of Multivariate Exponential Power Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

A Non-Convex Proximal Approach for Centroid-Based Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022

A CNC approach for Directional Total Variation.
Proceedings of the 30th European Signal Processing Conference, 2022

Dual Forward-Backward Unfolded Network for Flexible Plug-and-Play.
Proceedings of the 30th European Signal Processing Conference, 2022

Design of Robust Complex-Valued Feed-Forward Neural Networks.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Fixed Point Strategies in Data Science.
IEEE Trans. Signal Process., 2021

Sparse signal reconstruction for nonlinear models via piecewise rational optimization.
Signal Process., 2021

Learning Maximally Monotone Operators for Image Recovery.
SIAM J. Imaging Sci., 2021

A Deep Learning Approach For Improved Segmentation Of Lesions Related To Covid-19 Chest CT Scans.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

An Adversarial Attacker for Neural Networks in Regression Problems.
Proceedings of the Workshop on Artificial Intelligence Safety 2021 co-located with the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021

Sparsifying Networks via Subdifferential Inclusion.
Proceedings of the 38th International Conference on Machine Learning, 2021

Enhanced Convergent PNP Algorithms For Image Restoration.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

A Neural Network Approach For Joint Optimization Of Predictors In Lifting-Based Image Coders.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Deep Transform and Metric Learning Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Quantitative Analysis Of The Robustness Of Neural Networks For Tabular Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems.
Proceedings of the 29th European Signal Processing Conference, 2021

GPU-based Implementations of MM Algorithms. Application to Spectroscopy Signal Restoration.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Majorize-Minimize Adapted Metropolis-Hastings Algorithm.
IEEE Trans. Signal Process., 2020

SPOQ $\ell _p$-Over-$\ell _q$ Regularization for Sparse Signal Recovery Applied to Mass Spectrometry.
IEEE Trans. Signal Process., 2020

Global Optimization for Recovery of Clipped Signals Corrupted With Poisson-Gaussian Noise.
IEEE Signal Process. Lett., 2020

Lipschitz Certificates for Layered Network Structures Driven by Averaged Activation Operators.
SIAM J. Math. Data Sci., 2020

Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation.
Signal Process., 2020

A Proximal Interior Point Algorithm with Applications to Image Processing.
J. Math. Imaging Vis., 2020

Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks.
CoRR, 2020

Robust Reconstruction with Nonconvex Subset Constraints: A Polynomial Optimization Approach.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

A New Spatially Adaptive TV Regularization for Digital Breast Tomosynthesis.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Neural Networks based Speed-Torque Estimators for Induction Motors and Performance Metrics.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Optimized Lifting Scheme Based on A Dynamical Fully Connected Network for Image Coding.
Proceedings of the IEEE International Conference on Image Processing, 2020

Building Firmly Nonexpansive Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Moment-Based Approach for Guaranteed Tensor Decomposition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Small-Scale Network for Seismic Patterns Classification.
Proceedings of the 28th European Signal Processing Conference, 2020

Proximal Gradient Algorithm in the Presence of Adjoint Mismatch.
Proceedings of the 28th European Signal Processing Conference, 2020

Signal Denoising Using a New Class of Robust Neural Networks.
Proceedings of the 28th European Signal Processing Conference, 2020

Globally Optimizing Owing to Tensor Decomposition.
Proceedings of the 28th European Signal Processing Conference, 2020

Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Rational Optimization for Nonlinear Reconstruction With Approximate ℓ<sub>0</sub> Penalization.
IEEE Trans. Signal Process., 2019

Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images.
IEEE Signal Process. Lett., 2019

An alternating proximal approach for blind video deconvolution.
Signal Process. Image Commun., 2019

Stochastic quasi-Fejér block-coordinate fixed point iterations with random sweeping II: mean-square and linear convergence.
Math. Program., 2019

Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging.
J. Math. Imaging Vis., 2019

A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression.
Comput. Optim. Appl., 2019

A New Approach For Microcalcification Enhancement In Digital Breast Tomosynthesis Reconstruction.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Calibrationless Oscar-Based Image Reconstruction in Compressed Sensing Parallel MRI.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

How to Globally Solve Non-convex Optimization Problems Involving an Approximate ℓ0 Penalization.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Data Augmentation Approach for Sampling Gaussian Models in High Dimension.
Proceedings of the 27th European Signal Processing Conference, 2019

Detecting the Rank of a Symmetric Tensor.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Proximity Operators of Discrete Information Divergences.
IEEE Trans. Inf. Theory, 2018

BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

An Auxiliary Variable Method for Markov Chain Monte Carlo Algorithms in High Dimension.
Entropy, 2018

Deep Unfolding of a Proximal Interior Point Method for Image Restoration.
CoRR, 2018

Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopy.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Spatially variant PSF modeling in confocal macroscopy.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Geometry-Texture Decomposition/Reconstruction Using a Proximal Interior Point Algorithm.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

A Multicore Convex Optimization Algorithm with Applications to Video Restoration.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Block-Coordinate Proximal Algorithms for Scale-Free Texture Segmentation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

PIPA: A New Proximal Interior Point Algorithm for Large-Scale Convex Optimization.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Nonconvex Variational Approach for Robust Graphical Lasso.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Signal Reconstruction from Sub-sampled and Nonlinearly Distorted Observations.
Proceedings of the 26th European Signal Processing Conference, 2018

Linear Convergence of Stochastic Block-Coordinate Fixed Point Algorithms.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation.
IEEE Trans. Signal Process., 2017

A Variational Bayesian Approach for Image Restoration - Application to Image Deblurring With Poisson-Gaussian Noise.
IEEE Trans. Computational Imaging, 2017

Dual Block-Coordinate Forward-Backward Algorithm with Application to Deconvolution and Deinterlacing of Video Sequences.
J. Math. Imaging Vis., 2017

Spatially variant PSF modeling in confocal macroscopy.
CoRR, 2017

HOGMep: Variational Bayes and higher-order graphical models applied to joint image recovery and segmentation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A two-stage subspace trust region approach for deep neural network training.
Proceedings of the 25th European Signal Processing Conference, 2017

A global optimization approach for rational sparsity promoting criteria.
Proceedings of the 25th European Signal Processing Conference, 2017

A fast algorithm based on a sylvester-like equation for LS regression with GMRF prior.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm.
IEEE Signal Process. Lett., 2016

A Survey of Stochastic Simulation and Optimization Methods in Signal Processing.
IEEE J. Sel. Top. Signal Process., 2016

Introduction to the Issue on Stochastic Simulation and Optimization in Signal Processing.
IEEE J. Sel. Top. Signal Process., 2016

A block coordinate variable metric forward-backward algorithm.
J. Glob. Optim., 2016

A Variational Bayesian Approach for Restoring Data Corrupted with Non-Gaussian Noise.
CoRR, 2016

An auxiliary variable method for Langevin based MCMC algorithms.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Random primal-dual proximal iterations for sparse multiclass SVM.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

A block parallel majorize-minimize memory gradient algorithm.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Fast variational Bayesian signal recovery in the presence of Poisson-Gaussian noise.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Stochastic forward-backward and primal-dual approximation algorithms with application to online image restoration.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems.
IEEE Signal Process. Mag., 2015

Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed ℓ<sub>1</sub>/ℓ<sub>2</sub> Regularization.
IEEE Signal Process. Lett., 2015

Epigraphical projection and proximal tools for solving constrained convex optimization problems.
Signal Image Video Process., 2015

Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations with Random Sweeping.
SIAM J. Optim., 2015

A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood.
SIAM J. Imaging Sci., 2015

Tutorial on Stochastic Simulation and Optimization Methods in Signal Processing.
CoRR, 2015

A Proximal Approach for Sparse Multiclass SVM.
CoRR, 2015

BRANE Cut: biologically-related a priori network enhancement with graph cuts for gene regulatory network inference.
BMC Bioinform., 2015

When Convex Analysis Meets Mathematical Morphology on Graphs.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

Sparse adaptive template matching and filtering for 2D seismic images with dual-tree wavelets and proximal methods.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Color deflickering for high-speed video in the presence of artificial lighting.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

A dual block coordinate proximal algorithm with application to deconvolution of interlaced video sequences.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

A random block-coordinate primal-dual proximal algorithm with application to 3D mesh denoising.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Fast convex optimization for connectivity enforcement in gene regulatory network inference.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A parallel block-coordinate approach for primal-dual splitting with arbitrary random block selection.
Proceedings of the 23rd European Signal Processing Conference, 2015

Graph inference enhancement with clustering: Application to Gene Regulatory Network reconstruction.
Proceedings of the 23rd European Signal Processing Conference, 2015

An Alternating Direction Method of Multipliers for constrained joint diagonalization by congruence.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Optimization of a Geman-McClure like criterion for sparse signal deconvolution.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

A distributed strategy for computing proximity operators.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal.
IEEE Trans. Signal Process., 2014

An EM Approach for Time-Variant Poisson-Gaussian Model Parameter Estimation.
IEEE Trans. Signal Process., 2014

A Bit Allocation Method for Sparse Source Coding.
IEEE Trans. Image Process., 2014

A Nonlocal Structure Tensor-Based Approach for Multicomponent Image Recovery Problems.
IEEE Trans. Image Process., 2014

A Majorize-Minimize Memory Gradient method for complex-valued inverse problems.
Signal Process., 2014

Variable Metric Forward-Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function.
J. Optim. Theory Appl., 2014

A Non-Local Structure Tensor Based Approach for Multicomponent Image Recovery Problems.
CoRR, 2014

A nonconvex regularized approach for phase retrieval.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Iterative poisson-Gaussian noise parametric estimation for blind image denoising.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

A forward-backward view of some primal-dual optimization methods in image recovery.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

A multi-parameter optimization approach for complex continuous sparse modelling.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Cramer-Rao bound for a sparse complex model.
Proceedings of the 10th International Conference on Communications, 2014

A preconditioned Forward-Backward approach with application to large-scale nonconvex spectral unmixing problems.
Proceedings of the IEEE International Conference on Acoustics, 2014

A constrained-based optimization approach for seismic data recovery problems.
Proceedings of the IEEE International Conference on Acoustics, 2014

Accurate rate-distortion approximation for sparse Bernoulli-Generalized Gaussian models.
Proceedings of the IEEE International Conference on Acoustics, 2014

Epigraphical proximal projection for sparse multiclass SVM.
Proceedings of the IEEE International Conference on Acoustics, 2014

Majorize-Minimize adapted metropolis-hastings algorithm. Application to multichannel image recovery.
Proceedings of the 22nd European Signal Processing Conference, 2014

A stochastic 3MG algorithm with application to 2D filter identification.
Proceedings of the 22nd European Signal Processing Conference, 2014

A hybrid alternating proximal method for blind video restoration.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Dual Constrained TV-based Regularization on Graphs.
SIAM J. Imaging Sci., 2013

A Majorize-Minimize Subspace Approach for ℓ<sub>2</sub>-ℓ<sub>0</sub> Image Regularization.
SIAM J. Imaging Sci., 2013

A Parallel Proximal Splitting Method for Disparity Estimation from Multicomponent Images Under Illumination Variation.
J. Math. Imaging Vis., 2013

Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Generalized multivariate exponential power prior for wavelet-based multichannel image restoration.
Proceedings of the IEEE International Conference on Image Processing, 2013

Seismic multiple removal with a primal-dual proximal algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2013

A proximal approach for optimization problems involving kullback divergences.
Proceedings of the IEEE International Conference on Acoustics, 2013

An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor.
Proceedings of the IEEE International Conference on Acoustics, 2013

A proximal approach for signal recovery based on information measures.
Proceedings of the 21st European Signal Processing Conference, 2013

A complex-valued Majorize-Minimize Memory Gradient method with application to parallel MRI.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration.
IEEE Trans. Signal Process., 2012

Adaptive lifting scheme with sparse criteria for image coding.
EURASIP J. Adv. Signal Process., 2012

Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems: Part I
CoRR, 2012

Multidimensional Wavelet-based Regularized Reconstruction for Parallel Acquisition in Neuroimaging
CoRR, 2012

A convex programming bit allocation method for sparse sources.
Proceedings of the 2012 Picture Coding Symposium, 2012

Poisson-Gaussian noise parameter estimation in fluorescence microscopy imaging.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Adaptive lifting schemes with a global ℓ1 minimization technique for image coding.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

A primal-dual proximal splitting approach for restoring data corrupted with poisson-gaussian noise.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A proximal approach for constrained cosparse modelling.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A penalized weighted least squares approach for restoring data corrupted with signal-dependent noise.
Proceedings of the 20th European Signal Processing Conference, 2012

ℓ1-adapted non separable vector lifting schemes for stereo image coding.
Proceedings of the 20th European Signal Processing Conference, 2012

Comparison of two proximal splitting algorithms for solving multilabel disparity estimation problems.
Proceedings of the 20th European Signal Processing Conference, 2012

A convex variational approach for multiple removal in seismic data.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization.
IEEE Trans. Image Process., 2011

Non-separable lifting scheme with adaptive update step for still and stereo image coding.
Signal Process., 2011

Advances in multirate filter bank structures and multiscale representations.
Signal Process., 2011

A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging.
Medical Image Anal., 2011

A Spatial Regularization Approach for Vector Quantization.
J. Math. Imaging Vis., 2011

Proximal Algorithms for Multicomponent Image Recovery Problems.
J. Math. Imaging Vis., 2011

4D Wavelet-Based Regularization for Parallel MRI Reconstruction: Impact on Subject and Group-Levels Statistical Sensitivity in fMRI
CoRR, 2011

Disparity map estimation under convex constraints using proximal algorithms.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2011

Image reconstruction from multiple sensors using stein's principle. Application to parallel MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

3D wavelet-based regularization for parallel MRI reconstruction: Impact on subject and group-level statistical sensitivity in fMRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A Memory Gradient algorithm for ℓ2 - ℓ0 regularization with applications to image restoration.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Proximal splitting methods for depth estimation.
Proceedings of the IEEE International Conference on Acoustics, 2011

Dual constrained TV-based regularization.
Proceedings of the IEEE International Conference on Acoustics, 2011

An EM approach for Poisson-Gaussian noise modeling.
Proceedings of the 19th European Signal Processing Conference, 2011

Proximal Splitting Methods in Signal Processing.
Proceedings of the Fixed-Point Algorithms for Inverse Problems in Science and Engineering, 2011

2010
A hierarchical Bayesian model for frame representation.
IEEE Trans. Signal Process., 2010

Image quantization under spatial smoothness constraints.
Proceedings of the International Conference on Image Processing, 2010

Proximal method for geometry and texture image decomposition.
Proceedings of the International Conference on Image Processing, 2010

Alternating proximal algorithm for blind image recovery.
Proceedings of the International Conference on Image Processing, 2010

Two-dimensional non separable adaptive lifting scheme for still and stereo image coding.
Proceedings of the IEEE International Conference on Acoustics, 2010

Proximal methods for image restoration using a class of non-tight frame representations.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
A SURE approach for digital signal/image deconvolution problems.
IEEE Trans. Signal Process., 2009

Optimization of synthesis oversampled complex filter banks.
IEEE Trans. Signal Process., 2009

On the uniform quantization of a class of sparse sources.
IEEE Trans. Inf. Theory, 2009

A Convex Optimization Approach for Depth Estimation Under Illumination Variation.
IEEE Trans. Image Process., 2009

Vector Lifting Schemes for Stereo Image Coding.
IEEE Trans. Image Process., 2009

Nested Iterative Algorithms for Convex Constrained Image Recovery Problems.
SIAM J. Imaging Sci., 2009

Dense disparity map representations for stereo image coding.
Proceedings of the International Conference on Image Processing, 2009

Wavelet-based parallel MRI regularization using bivariate sparsity promoting priors.
Proceedings of the International Conference on Image Processing, 2009

A wavelet-based quadratic extension method for image deconvolution in the presence of poisson noise.
Proceedings of the IEEE International Conference on Acoustics, 2009

Split convex minimization algorithm for signal recovery.
Proceedings of the IEEE International Conference on Acoustics, 2009

Hybrid regularization for data restoration in the presence of Poisson noise.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
A Nonlinear Stein-Based Estimator for Multichannel Image Denoising.
IEEE Trans. Signal Process., 2008

A convex programming approach for color stereo matching.
Proceedings of the International Workshop on Multimedia Signal Processing, 2008

Autocalibrated regularized parallel mri reconstruction in the wavelet domain.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Rate-distortion results for Generalized Gaussian distributions.
Proceedings of the IEEE International Conference on Acoustics, 2008

A constrained forward-backward algorithm for image recovery problems.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Two denoising SURE-LET methods for complex oversampled subband decompositions.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Convolutive Blind Signal Separation Based on Asymmetrical Contrast Functions.
IEEE Trans. Signal Process., 2007

Quadratic Higher Order Criteria for Iterative Blind Separation of a MIMO Convolutive Mixture of Sources.
IEEE Trans. Signal Process., 2007

Noise Covariance Properties in Dual-Tree Wavelet Decompositions.
IEEE Trans. Inf. Theory, 2007

Proximal Thresholding Algorithm for Minimization over Orthonormal Bases.
SIAM J. Optim., 2007

A Douglas-Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery.
J. Sel. Topics Signal Processing, 2007

Block-Based Adaptive Vector Lifting Schemes for Multichannel Image Coding.
EURASIP J. Image Video Process., 2007

A Compressed Sensing Approach to Frame-Based Multiple Description Coding.
Proceedings of the IEEE International Conference on Acoustics, 2007

Oversampled Inverse Complex Lapped Transform Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2007

2D Dual-Tree Complex Biorthogonal M-Band Wavelet Transform.
Proceedings of the IEEE International Conference on Acoustics, 2007

Lifting schemes for joint coding of stereoscopic pairs of satellite images).
Proceedings of the 15th European Signal Processing Conference, 2007

Sparse signal recovery by iterative proximal thresholding.
Proceedings of the 15th European Signal Processing Conference, 2007

Robust Obstacle Detection Based on Dense Disparity Maps.
Proceedings of the Computer Aided Systems Theory, 2007

2006
Image analysis using a dual-tree M-band wavelet transform.
IEEE Trans. Image Process., 2006

A blind source separation framework for detecting CPM sources mixed by a convolutive MIMO filter.
Signal Process., 2006

Low Redundancy Oversampled Lapped Transforms and Application to 3D Seismic Data Filtering.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A New Estimator for Image Denoising Using a 2D Dual-Tree M-Band Wavelet Decomposition.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Decomposition Method for Nonsmooth Convex Variational Signal Recovery.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Wavelet-constrained regularization for disparity map estimation.
Proceedings of the 14th European Signal Processing Conference, 2006

Iterative image deconvolution using overcomplete representations.
Proceedings of the 14th European Signal Processing Conference, 2006

Multichannel image deconvolution in the Wavelet Transform domain.
Proceedings of the 14th European Signal Processing Conference, 2006

Disparity Map Estimation Using A Total Variation Bound.
Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006

2005
A family of frequency- and time-domain contrasts for blind separation of convolutive mixtures of temporally dependent signals.
IEEE Trans. Signal Process., 2005

Building robust wavelet estimators for multicomponent images using Stein's principle.
IEEE Trans. Image Process., 2005

Wavelet-based multiple description coding of images with iterative convex optimization techniques.
Proceedings of the 2005 International Conference on Image Processing, 2005

An embedded coder for multispectral image compression based on vector lifting structures.
Proceedings of the 12th IEEE International Conference on Electronics, 2005

Comparison of redundant wavelet schemes for multiple description coding of video sequences.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2D dual-tree M-band wavelet decomposition.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Source separation by quadratic contrast functions: a blind approach based on any higher-order statistics.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Perfect reconstruction in reduced redundancy wavelet-based multiple description coding of images.
Proceedings of the 13th European Signal Processing Conference, 2005

A non-separable 2D complex modulated lapped transform and its applications to seismic data filtering.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Image restoration subject to a total variation constraint.
IEEE Trans. Image Process., 2004

Wavelet-Constrained Image Restoration.
Int. J. Wavelets Multiresolution Inf. Process., 2004

Redundant multiresolution analysis for multiple description video coding.
Proceedings of the IEEE 6th Workshop on Multimedia Signal Processing, 2004

Estimating first-order finite-difference information in image restoration problems.
Proceedings of the 2004 International Conference on Image Processing, 2004

Constraint construction in convex set theoretic signal recovery via Stein's principle [image denoising example].
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A quadratic MISO contrast function for blind equalization.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

An extended sure approach for multicomponent image denoising.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

An Iterative Blind Source Separation Method for Convolutive Mixtures of Images.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Hilbert pairs of M-band orthonormal wavelet bases.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

Blind mimo detection of convolutively mixed CPM sources.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

An interscale multivariate map estimation of multispectral images.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
A nonlinear diffusion-based three-band filter bank.
IEEE Signal Process. Lett., 2003

Image deconvolution with total variation bounds.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Adapted vector-lifting schemes for multiband textured image coding.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

Total variation information in image recovery.
Proceedings of the 2003 International Conference on Image Processing, 2003

Wavelet estimation of cyclospectra.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Vector-lifting schemes for lossless coding and progressive archival of multispectral images.
IEEE Trans. Geosci. Remote. Sens., 2002

Long-range dependence and heavy-tail modeling for teletraffic data.
IEEE Signal Process. Mag., 2002

Synthesis of bidimensional alpha-stable models with long-range dependence.
Signal Process., 2002

A unifying framework for lossless and progressive image coding.
Pattern Recognit., 2002

Some Results on the Wavelet Packet Decomposition of Nonstationary Processes.
EURASIP J. Adv. Signal Process., 2002

Performance analysis of blind signal separation methods based on asymmetric contrast functions.
Proceedings of the IEEE International Conference on Acoustics, 2002

A new interband multiwavelet decomposition for exact coding of multicomponent images.
Proceedings of the IEEE International Conference on Acoustics, 2002

Wavelet-thresholding for bispectrum estimation.
Proceedings of the 11th European Signal Processing Conference, 2002

New contrasts for blind separation of non iid sources in the convolutive case.
Proceedings of the 11th European Signal Processing Conference, 2002

A block-based predictive lossless cod for quincunx multispectral images.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Cumulant-based independence measures for linear mixtures.
IEEE Trans. Inf. Theory, 2001

Bayesian wavelet denoising: Besov priors and non-Gaussian noises.
Signal Process., 2001

Joint singular value decomposition - a new tool for separable representation of images.
Proceedings of the 2001 International Conference on Image Processing, 2001

Estimating long-range dependence in impulsive traffic flows.
Proceedings of the IEEE International Conference on Acoustics, 2001

Frequency-domain contrast functions for separation of convolutive mixtures.
Proceedings of the IEEE International Conference on Acoustics, 2001

Lossless coding for progressive archival of multispectral images.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Power-law shot noise and its relationship to long-memory α-stable processes.
IEEE Trans. Signal Process., 2000

Motion estimation in the presence of illumination variations.
Signal Process. Image Commun., 2000

Multiplivative matching pursuit.
Proceedings of the IEEE International Conference on Acoustics, 2000

Nonlinear bank filters adapted for progressive and exact image reconstruction.
Proceedings of the 10th European Signal Processing Conference, 2000

1999
High-Order Wavelet Packets and Cumulant Field Analysis.
IEEE Trans. Inf. Theory, 1999

Nonlinear methods for the identification of 2D models with long-range dependence.
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999

Bidimensional alpha-stable models with long-range dependence.
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999

Progressive and lossless image coding using optimized nonlinear subband decompositions.
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999

1998
M-band nonlinear subband decompositions with perfect reconstruction.
IEEE Trans. Image Process., 1998

Convex Multiresolution Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Nonlinear Multiresolution Image Analysis via Convex Projections.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Parsimony and wavelet methods for denoising.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Nonlinear frame-like decompositions.
Proceedings of the 9th European Signal Processing Conference, 1998

Wavelet thresholding for a wide class of noise distributions.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
Generalized contrasts for multichannel blind deconvolution of linear systems.
IEEE Signal Process. Lett., 1997

Independence/decorrelation measures with applications to optimized orthonormal representations.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Time-invariant orthonormal wavelet representations.
IEEE Trans. Signal Process., 1996

Wavelet synthesis by alternating projections.
IEEE Trans. Signal Process., 1996

Projection-based rank reduction algorithms for multichannel modelling and image compression.
Signal Process., 1996

Pel-recursive motion estimation in the presence of illumination variations.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

Bayesian approach to best basis selection.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

A nonlinear subband decomposition with perfect reconstruction.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Best basis segmentation of ECG signals using novel optimality criteria.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Double tree decomposition of lung sounds.
Proceedings of the 8th European Signal Processing Conference, 1996

1995
Multiresolution analysis of a class of nonstationary processes.
IEEE Trans. Inf. Theory, 1995

A grey scale morphological approach for displaced frame difference coding.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

M-band wavelet decomposition of second order random processes.
Proceedings of the 1995 International Conference on Acoustics, 1995

1993
Soft-constrained LMS algorithms for decoder stability in backward adaptive predictive systems.
Signal Process., 1993

Tracking nonstationarities with a wavelet transform.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
Predictive coding of images using an adaptive intra-frame predictor and motion compensation.
Signal Process. Image Commun., 1992

Orthonormal wavelets for finite sequences.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1990
Modified LMS algorithms for robust ADPCM.
Proceedings of the 1990 International Conference on Acoustics, 1990

1989
A hybrid image coder: adaptive intra-interframe prediction using motion compensation.
Proceedings of the IEEE International Conference on Acoustics, 1989


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