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Jean-Christophe Pesquet

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affiliation: University Paris-Est, France

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2020 – today

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2024
[j105]
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Émilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Gabriele Scrivanti:
A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially Varying Generalised Gaussian Models. J. Math. Imaging Vis. 66(4): 550-571 (2024)
[j104]
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Emilie Chouzenoux, Jean-Christophe Pesquet, Fernando Roldán:
Solution of Mismatched Monotone+Lipschitz Inclusion Problems. SIAM J. Optim. 34(4): 3564-3591 (2024)
[j103]
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Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet:
An unrolled half-quadratic approach for sparse signal recovery in spectroscopy. Signal Process. 218: 109369 (2024)
[j102]
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Ana Neacsu, Jean-Christophe Pesquet, Corneliu Burileanu:
EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks. ACM Trans. Intell. Syst. Technol. 15(2): 26:1-26:25 (2024)
[j101]
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  - journals/tmlr/JuvinaNRPBA24
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Simona Ioana Juvina, Ana Antonia Neacsu, Jérôme Rony, Jean-Christophe Pesquet, Corneliu Burileanu, Ismail Ben Ayed:
Training Graph Neural Networks Subject to a Tight Lipschitz Constraint. Trans. Mach. Learn. Res. 2024 (2024)
[j100]
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Nora Ouzir, Frédéric Pascal, Jean-Christophe Pesquet:
Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions. IEEE Trans. Signal Process. 72: 4132-4146 (2024)
[c188]
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  - conf/cvpr/MartinHSPA24
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Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed:
Transductive Zero-Shot and Few-Shot CLIP. CVPR 2024: 28816-28826
[c187]
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  - conf/isbi/SadraouiMBLPGA24
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Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed:
A Transductive Few-Shot Learning Approach for Classification of Digital Histopathological Slides from Liver Cancer. ISBI 2024: 1-5
[c186]
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Mathieu Vu, Émilie Chouzenoux, Jean-Christophe Pesquet, Stéphane Boutinon, Marius Peloux, Philippe Pinault:
Deep Learning Method for Accessible Eccentric Photorefraction. ISBI 2024: 1-5
[c185]
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  - conf/mlsp/GharbiVCPD24
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Mouna Gharbi, Silvia Villa, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval:
Unrolled Deep Networks for Sparse Signal Restoration in Analytical Chemistry. MLSP 2024: 1-6
[c184]
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  - conf/mlsp/VasilescuNP24
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Vlad Vasilescu, Ana Neacsu, Jean-Christophe Pesquet:
Are Almost Non-Negative Neural Networks Universal Approximators? MLSP 2024: 1-6
[i37]
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  - journals/corr/abs-2404-00390
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Younes Belkouchi, Jean-Christophe Pesquet, Audrey Repetti, Hugues Talbot:
Learning truly monotone operators with applications to nonlinear inverse problems. CoRR abs/2404.00390 (2024)
[i36]
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  - journals/corr/abs-2404-04983
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Aurélie Beaufrère, Nora Ouzir, Paul-Emile Zafar, Astrid Laurent-Bellue, Miguel Albuquerque, Gwladys Lubuela, Jules Grégory, Catherine Guettier, Kévin Mondet, Jean-Christophe Pesquet, Valérie Paradis:
Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning. CoRR abs/2404.04983 (2024)
[i35]
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  - journals/corr/abs-2405-18437
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Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed:
Transductive Zero-Shot and Few-Shot CLIP. CoRR abs/2405.18437 (2024)
2023
[j99]
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  - journals/jfi/HuangCEP23
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Yunshi Huang, Emilie Chouzenoux, Víctor Elvira, Jean-Christophe Pesquet:
Efficient bayes inference in neural networks through adaptive importance sampling. J. Frankl. Inst. 360(16): 12125-12149 (2023)
[j98]
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  - journals/jmiv/ChouzenouxMP23
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Emilie Chouzenoux, Ségolène Martin, Jean-Christophe Pesquet:
A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery. J. Math. Imaging Vis. 65(2): 253-276 (2023)
[j97]
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Emilie Chouzenoux, Andrés Contreras, Jean-Christophe Pesquet, Marion Savanier:
Convergence Results for Primal-Dual Algorithms in the Presence of Adjoint Mismatch. SIAM J. Imaging Sci. 16(1): 1-34 (2023)
[j96]
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  - journals/tci/SavanierCPR23
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Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell:
Deep Unfolding of the DBFB Algorithm With Application to ROI CT Imaging With Limited Angular Density. IEEE Trans. Computational Imaging 9: 502-516 (2023)
[j95]
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  - journals/tie/VermaHCJP23
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Sagar Verma, Nicolas Henwood, Marc Castella, Al Kassem Jebai, Jean-Christophe Pesquet:
Neural Speed-Torque Estimator for Induction Motors in the Presence of Measurement Noise. IEEE Trans. Ind. Electron. 70(1): 167-177 (2023)
[j94]
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Yunshi Huang, Emilie Chouzenoux, Jean-Christophe Pesquet:
Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution. IEEE Trans. Image Process. 32: 430-445 (2023)
[c183]
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  - conf/cvpr/RonyPA23
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Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed:
Proximal Splitting Adversarial Attack for Semantic Segmentation. CVPR 2023: 20524-20533
[c182]
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  - conf/eusipco/ValleCCP23
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Cécile de Valle, Ezequiel Centofanti, Emilie Chouzenoux, Jean-Christophe Pesquet:
Stability of Unfolded Forward-Backward to Perturbations in Observed Data. EUSIPCO 2023: 865-869
[c181]
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  - conf/icassp/CombettesPR23
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Patrick L. Combettes, Jean-Christophe Pesquet, Audrey Repetti:
A Variational Inequality Model for Learning Neural Networks. ICASSP 2023: 1-5
[c180]
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  - conf/icassp/CosseratGCPA23
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Clément Cosserat, Ben Gabrielson, Emilie Chouzenoux, Jean-Christophe Pesquet, Tülay Adali:
A Proximal Approach to IVA-G with Convergence Guarantees. ICASSP 2023: 1-5
[i34]
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  - journals/corr/abs-2308-16858
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Alessandro Benfenati, Emilie Chouzenoux, Giorgia Franchini, Salla Latva-Aijo, Dominik Narnhofer, Jean-Christophe Pesquet, Sebastian J. Scott, Mahsa Yousefi:
Majorization-Minimization for sparse SVMs. CoRR abs/2308.16858 (2023)
[i33]
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  - journals/corr/abs-2310-05566
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Mathieu Vu, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed:
Aggregated f-average Neural Network for Interpretable Ensembling. CoRR abs/2310.05566 (2023)
[i32]
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  - journals/corr/abs-2311-17740
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Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed:
A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer. CoRR abs/2311.17740 (2023)
2022
[j93]
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  - journals/dsp/AbboudSCPT22
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Feriel Abboud, Marin Stamm, Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot:
Distributed algorithms for scalable proximity operator computation and application to video denoising. Digit. Signal Process. 128: 103610 (2022)
[j92]
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  - journals/ijon/TangCPK22
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Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim:
Deep transform and metric learning network: Wedding deep dictionary learning and neural network. Neurocomputing 509: 244-256 (2022)
[j91]
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  - journals/mia/SghaierCPM22
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Maissa Sghaier, Emilie Chouzenoux, Jean-Christophe Pesquet, Serge Muller:
A Novel Task-Based reconstruction approach for digital breast tomosynthesis. Medical Image Anal. 77: 102341 (2022)
[j90]
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  - journals/spl/SavanierCPR22
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Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell:
Unmatched Preconditioning of the Proximal Gradient Algorithm. IEEE Signal Process. Lett. 29: 1122-1126 (2022)
[j89]
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  - journals/tip/DardouriKBP22
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Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet:
Dynamic Neural Network for Lossy-to-Lossless Image Coding. IEEE Trans. Image Process. 31: 569-584 (2022)
[c179]
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  - conf/eusipco/ScrivantiCP22
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Gabriele Scrivanti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A CNC approach for Directional Total Variation. EUSIPCO 2022: 488-492
[c178]
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  - conf/eusipco/RepettiTWP22
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Audrey Repetti, Matthieu Terris, Yves Wiaux, Jean-Christophe Pesquet:
Dual Forward-Backward Unfolded Network for Flexible Plug-and-Play. EUSIPCO 2022: 957-961
[c177]
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  - conf/eusipco/NeacsuCPB22
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Ana Neacsu, Razvan Ciubotaru, Jean-Christophe Pesquet, Corneliu Burileanu:
Design of Robust Complex-Valued Feed-Forward Neural Networks. EUSIPCO 2022: 1596-1600
[c176]
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  - conf/icassp/KahanamBMP22
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Mewe-Hezoudah Kahanam, Laurent Le Brusquet, Ségolène Martin, Jean-Christophe Pesquet:
A Non-Convex Proximal Approach for Centroid-Based Classification. ICASSP 2022: 5702-5706
[c175]
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  - conf/icassp/OuzirPP22
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Nora Ouzir, Jean-Christophe Pesquet, Frédéric Pascal:
A Convex Formulation for the Robust Estimation of Multivariate Exponential Power Models. ICASSP 2022: 5772-5776
[c174]
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  - conf/icip/RossignolSCCP22
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Claire Rossignol, Florent Sureau, Emilie Chouzenoux, Claude Comtat, Jean-Christophe Pesquet:
A Bregman Majorization-Minimization Framework for Pet Image Reconstruction. ICIP 2022: 1736-1740
[c173]
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Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed:
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference. NeurIPS 2022
[c172]
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  - conf/safecomp/GuptaKPP22
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Kavya Gupta, Fateh Kaakai, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
Safe Design of Stable Neural Networks for Fault Detection in Small UAVs. SAFECOMP Workshops 2022: 263-275
[i31]
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  - journals/corr/abs-2206-07179
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Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed:
Proximal Splitting Adversarial Attacks for Semantic Segmentation. CoRR abs/2206.07179 (2022)
[i30]
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  - journals/corr/abs-2209-01375
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Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Gabriele Scrivanti:
A Variational Approach for Joint Image Recovery and Features Extraction Based on Spatially Varying Generalised Gaussian Models. CoRR abs/2209.01375 (2022)
[i29]
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  - journals/corr/abs-2209-01376
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Gabriele Scrivanti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A CNC approach for Directional Total Variation. CoRR abs/2209.01376 (2022)
[i28]
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  - journals/corr/abs-2209-13264
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Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell:
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density. CoRR abs/2209.13264 (2022)
[i27]
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  - journals/corr/abs-2210-00993
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Yunshi Huang, Emilie Chouzenoux, Victor Elvira, Jean-Christophe Pesquet:
Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling. CoRR abs/2210.00993 (2022)
[i26]
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  - journals/corr/abs-2210-14545
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Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed:
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference. CoRR abs/2210.14545 (2022)
2021
[j88]
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  - journals/siamis/PesquetRTW21
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Jean-Christophe Pesquet, Audrey Repetti, Matthieu Terris, Yves Wiaux:
Learning Maximally Monotone Operators for Image Recovery. SIAM J. Imaging Sci. 14(3): 1206-1237 (2021)
[j87]
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  - journals/sigpro/MarminCPD21
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Arthur Marmin, Marc Castella, Jean-Christophe Pesquet, Laurent Duval:
Sparse signal reconstruction for nonlinear models via piecewise rational optimization. Signal Process. 179: 107835 (2021)
[j86]
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  - journals/tsp/CombettesP21
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Patrick L. Combettes, Jean-Christophe Pesquet:
Fixed Point Strategies in Data Science. IEEE Trans. Signal Process. 69: 3878-3905 (2021)
[c171]
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  - conf/eusipco/MartinCP21
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Ségolène Martin, Emilie Chouzenoux, Jean-Christophe Pesquet:
A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems. EUSIPCO 2021: 2074-2078
[c170]
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  - conf/eusipco/GharbiCPD21
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Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval:
GPU-based Implementations of MM Algorithms. Application to Spectroscopy Signal Restoration. EUSIPCO 2021: 2094-2098
[c169]
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  - conf/icassp/TangCPK21
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Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim:
Deep Transform and Metric Learning Networks. ICASSP 2021: 2735-2739
[c168]
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  - conf/icassp/GuptaPKP21
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Kavya Gupta, Béatrice Pesquet-Popescu, Fateh Kaakai, Jean-Christophe Pesquet:
A Quantitative Analysis Of The Robustness Of Neural Networks For Tabular Data. ICASSP 2021: 8057-8061
[c167]
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  - conf/icip/TerrisRPW21
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Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux:
Enhanced Convergent PNP Algorithms For Image Restoration. ICIP 2021: 1684-1688
[c166]
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Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet, Gabriel Dauphin:
A Neural Network Approach For Joint Optimization Of Predictors In Lifting-Based Image Coders. ICIP 2021: 3747-3751
[c165]
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Sagar Verma, Jean-Christophe Pesquet:
Sparsifying Networks via Subdifferential Inclusion. ICML 2021: 10542-10552
[c164]
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Kavya Gupta, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu, Fateh Kaakai, Fragkiskos D. Malliaros:
An Adversarial Attacker for Neural Networks in Regression Problems. AISafety@IJCAI 2021
[c163]
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Vlad Vasilescu, Ana Neacsu, Emilie Chouzenoux, Jean-Christophe Pesquet, Corneliu Burileanu:
A Deep Learning Approach For Improved Segmentation Of Lesions Related To Covid-19 Chest CT Scans. ISBI 2021: 635-639
[i25]
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  - journals/corr/abs-2104-10329
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Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim:
Deep Transform and Metric Learning Networks. CoRR abs/2104.10329 (2021)
[i24]
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  - journals/corr/abs-2110-07202
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Yunshi Huang, Emilie Chouzenoux, Jean-Christophe Pesquet:
Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution. CoRR abs/2110.07202 (2021)
2020
[j85]
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  - journals/jmiv/ChouzenouxCP20
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Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet:
A Proximal Interior Point Algorithm with Applications to Image Processing. J. Math. Imaging Vis. 62(6-7): 919-940 (2020)
[j84]
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  - journals/sigpro/BenfenatiCP20
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Alessandro Benfenati, Emilie Chouzenoux, Jean-Christophe Pesquet:
Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation. Signal Process. 169: 107417 (2020)
[j83]
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  - journals/simods/CombettesP20
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Patrick L. Combettes, Jean-Christophe Pesquet:
Lipschitz Certificates for Layered Network Structures Driven by Averaged Activation Operators. SIAM J. Math. Data Sci. 2(2): 529-557 (2020)
[j82]
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Arthur Marmin, Anna Jezierska, Marc Castella, Jean-Christophe Pesquet:
Global Optimization for Recovery of Clipped Signals Corrupted With Poisson-Gaussian Noise. IEEE Signal Process. Lett. 27: 970-974 (2020)
[j81]
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Yosra Marnissi, Emilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet:
Majorize-Minimize Adapted Metropolis-Hastings Algorithm. IEEE Trans. Signal Process. 68: 2356-2369 (2020)
[j80]
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  - journals/tsp/CherniCDP20
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Afef Cherni, Emilie Chouzenoux, Laurent Duval, Jean-Christophe Pesquet:
SPOQ $\ell _p$-Over-$\ell _q$ Regularization for Sparse Signal Recovery Applied to Mass Spectrometry. IEEE Trans. Signal Process. 68: 6070-6084 (2020)
[c162]
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Sagar Verma, Nicolas Henwood, Marc Castella, François Malrait, Jean-Christophe Pesquet:
Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection. AAAI 2020: 1387-1394
[c161]
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Arthur Marmin, Marc Castella, Jean-Christophe Pesquet:
Globally Optimizing Owing to Tensor Decomposition. EUSIPCO 2020: 990-994
[c160]
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  - conf/eusipco/SilvaCFP20
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Monacér da Silva, Jean Charléty, Aurélia Fraysse, Jean-Christophe Pesquet:
A Small-Scale Network for Seismic Patterns Classification. EUSIPCO 2020: 1402-1406
[c159]
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  - conf/eusipco/NeacsuGPB20
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Ana Neacsu, Kavya Gupta, Jean-Christophe Pesquet, Corneliu Burileanu:
Signal Denoising Using a New Class of Robust Neural Networks. EUSIPCO 2020: 1492-1496
[c158]
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  - conf/eusipco/SavanierCPRT20
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Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell, Yves Trousset:
Proximal Gradient Algorithm in the Presence of Adjoint Mismatch. EUSIPCO 2020: 2140-2144
[c157]
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Arthur Marmin, Marc Castella, Jean-Christophe Pesquet:
A Moment-Based Approach for Guaranteed Tensor Decomposition. ICASSP 2020: 3927-3931
[c156]
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Ana Neacsu, Jean-Christophe Pesquet, Corneliu Burileanu:
Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks. ICASSP 2020: 8389-8393
[c155]
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Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux:
Building Firmly Nonexpansive Convolutional Neural Networks. ICASSP 2020: 8658-8662
[c154]
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Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet:
Optimized Lifting Scheme Based on A Dynamical Fully Connected Network for Image Coding. ICIP 2020: 3329-3333
[c153]
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  - conf/iecon/VermaHCJP20
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Sagar Verma, Nicolas Henwood, Marc Castella, Al Kassem Jebai, Jean-Christophe Pesquet:
Neural Networks based Speed-Torque Estimators for Induction Motors and Performance Metrics. IECON 2020: 495-500
[c152]
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  - conf/isbi/SghaierCPM20
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Maissa Sghaier, Emilie Chouzenoux, Jean-Christophe Pesquet, Serge Muller:
A New Spatially Adaptive TV Regularization for Digital Breast Tomosynthesis. ISBI 2020: 629-633
[c151]
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  - conf/mlsp/GalinierPCP20
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Mathilde Galinier, Marco Prato, Emilie Chouzenoux, Jean-Christophe Pesquet:
A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring. MLSP 2020: 1-6
[c150]
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Arthur Marmin, Marc Castella, Jean-Christophe Pesquet:
Robust Reconstruction with Nonconvex Subset Constraints: A Polynomial Optimization Approach. MLSP 2020: 1-6
[i23]
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  - journals/corr/abs-2002-07898
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Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim:
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks. CoRR abs/2002.07898 (2020)
[i22]
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  - journals/corr/abs-2010-05771
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Sagar Verma, Nicolas Henwood, Marc Castella, François Malrait, Jean-Christophe Pesquet:
Modeling Electrical Motor Dynamics using Encoder-Decoder with Recurrent Skip Connection. CoRR abs/2010.05771 (2020)
[i21]
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  - journals/corr/abs-2010-15427
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Arthur Marmin, Marc Castella, Jean-Christophe Pesquet, Laurent Duval:
Sparse Signal Reconstruction for Nonlinear Models via Piecewise Rational Optimization. CoRR abs/2010.15427 (2020)

2010 – 2019

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2019
[j79]
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Luis M. Briceño-Arias, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet:
A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression. Comput. Optim. Appl. 72(3): 707-726 (2019)
[j78]
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Emilie Chouzenoux, Tim Tsz-Kit Lau, Claire Lefort, Jean-Christophe Pesquet:
Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging. J. Math. Imaging Vis. 61(7): 1037-1050 (2019)
[j77]
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Patrick L. Combettes, Jean-Christophe Pesquet:
Stochastic quasi-Fejér block-coordinate fixed point iterations with random sweeping II: mean-square and linear convergence. Math. Program. 174(1-2): 433-451 (2019)
[j76]
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Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli:
An alternating proximal approach for blind video deconvolution. Signal Process. Image Commun. 70: 21-36 (2019)
[j75]
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Marie-Caroline Corbineau, Denis Kouamé, Emilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet:
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images. IEEE Signal Process. Lett. 26(10): 1456-1460 (2019)
[j74]
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Marc Castella, Jean-Christophe Pesquet, Arthur Marmin:
Rational Optimization for Nonlinear Reconstruction With Approximate ℓ₀ Penalization. IEEE Trans. Signal Process. 67(6): 1407-1417 (2019)
[c149]
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Arthur Marmin, Marc Castella, Jean-Christophe Pesquet:
Detecting the Rank of a Symmetric Tensor. EUSIPCO 2019: 1-5
[c148]
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Yosra Marnissi, Dany Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Mohamed El Badaoui, Amel Benazza-Benyahia:
A Data Augmentation Approach for Sampling Gaussian Models in High Dimension. EUSIPCO 2019: 1-5
[c147]
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Arthur Marmin, Marc Castella, Jean-Christophe Pesquet:
How to Globally Solve Non-convex Optimization Problems Involving an Approximate ℓ0 Penalization. ICASSP 2019: 5601-5605
[c146]
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Marie-Caroline Corbineau, Carla Bertocchi, Emilie Chouzenoux, Marco Prato, Jean-Christophe Pesquet:
Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm. ICIP 2019: 4664-4668
[c145]
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  - conf/isbi/SghaierCPPM19
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Maissa Sghaier, Emilie Chouzenoux, Giovanni Palma, Jean-Christophe Pesquet, Serge Muller:
A New Approach For Microcalcification Enhancement In Digital Breast Tomosynthesis Reconstruction. ISBI 2019: 1450-1454
[c144]
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  - conf/isbi/GueddariCCVP19
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Loubna El Gueddari, Philippe Ciuciu, Emilie Chouzenoux, Alexandre Vignaud, Jean-Christophe Pesquet:
Calibrationless Oscar-Based Image Reconstruction in Compressed Sensing Parallel MRI. ISBI 2019: 1532-1536
[i20]
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  - journals/corr/abs-1903-08111
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Marie-Caroline Corbineau, Denis Kouamé, Emilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet:
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images. CoRR abs/1903.08111 (2019)
2018
[j73]
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  - journals/entropy/MarnissiCBP18
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Yosra Marnissi, Emilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet:
An Auxiliary Variable Method for Markov Chain Monte Carlo Algorithms in High Dimension. Entropy 20(2): 110 (2018)
[j72]
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  - journals/tcbb/PirayreCDP18
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Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet:
BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 850-860 (2018)
[j71]
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Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet:
Proximity Operators of Discrete Information Divergences. IEEE Trans. Inf. Theory 64(2): 1092-1104 (2018)
[c143]
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Patrick L. Combettes, Jean-Christophe Pesquet:
Linear Convergence of Stochastic Block-Coordinate Fixed Point Algorithms. EUSIPCO 2018: 742-746
[c142]
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Arthur Marmin, Marc Castella, Jean-Christophe Pesquet, Laurent Duval:
Signal Reconstruction from Sub-sampled and Nonlinearly Distorted Observations. EUSIPCO 2018: 1970-1974
[c141]
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  - conf/icassp/PascalPAP18
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Barbara Pascal, Nelly Pustelnik, Patrice Abry, Jean-Christophe Pesquet:
Block-Coordinate Proximal Algorithms for Scale-Free Texture Segmentation. ICASSP 2018: 1253-1257
[c140]
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Marie-Caroline Corbineau, Emilie Chouzenoux, Jean-Christophe Pesquet:
PIPA: A New Proximal Interior Point Algorithm for Large-Scale Convex Optimization. ICASSP 2018: 1343-1347
[c139]
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Alessandro Benfenati, Emilie Chouzenoux, Jean-Christophe Pesquet:
A Nonconvex Variational Approach for Robust Graphical Lasso. ICASSP 2018: 3969-3973
[c138]
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Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot:
A Multicore Convex Optimization Algorithm with Applications to Video Restoration. ICIP 2018: 1173-1177
[c137]
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  - conf/ieeesam/CorbineauCP18
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Marie-Caroline Corbineau, Emilie Chouzenoux, Jean-Christophe Pesquet:
Geometry-Texture Decomposition/Reconstruction Using a Proximal Interior Point Algorithm. SAM 2018: 435-439
[c136]
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  - conf/isbi/LauCLP18
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Tim Tsz-Kit Lau, Emilie Chouzenoux, Claire Lefort, Jean-Christophe Pesquet:
Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopy. ISBI 2018: 484-488
[c135]
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  - conf/isbi/JezierskaTP18
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Anna Jezierska, Hugues Talbot, Jean-Christophe Pesquet:
Spatially variant PSF modeling in confocal macroscopy. ISBI 2018: 489-492
[i19]
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  - journals/corr/abs-1805-09430
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Viacheslav Dudar, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet, Vladimir Semenov:
A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training. CoRR abs/1805.09430 (2018)
[i18]
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Carla Bertocchi, Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Marco Prato:
Deep Unfolding of a Proximal Interior Point Method for Image Restoration. CoRR abs/1812.04276 (2018)
2017
[j70]
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Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli:
Dual Block-Coordinate Forward-Backward Algorithm with Application to Deconvolution and Deinterlacing of Video Sequences. J. Math. Imaging Vis. 59(3): 415-431 (2017)
[j69]
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Yosra Marnissi, Yuling Zheng, Emilie Chouzenoux, Jean-Christophe Pesquet:
A Variational Bayesian Approach for Image Restoration - Application to Image Deblurring With Poisson-Gaussian Noise. IEEE Trans. Computational Imaging 3(4): 722-737 (2017)
[j68]
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Emilie Chouzenoux, Jean-Christophe Pesquet:
A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation. IEEE Trans. Signal Process. 65(18): 4770-4783 (2017)
[c134]
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Qi Wei, Emilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet:
A fast algorithm based on a sylvester-like equation for LS regression with GMRF prior. CAMSAP 2017: 1-5
[c133]
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Marc Castella, Jean-Christophe Pesquet:
A global optimization approach for rational sparsity promoting criteria. EUSIPCO 2017: 156-160
[c132]
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Viacheslav Dudar, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet, Vladimir Semenov:
A two-stage subspace trust region approach for deep neural network training. EUSIPCO 2017: 291-295
[c131]
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Aurélie Pirayre, Yuling Zheng, Laurent Duval, Jean-Christophe Pesquet:
HOGMep: Variational Bayes and higher-order graphical models applied to joint image recovery and segmentation. ICIP 2017: 3775-3779
[i17]
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Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet:
Image Analysis Using a Dual-Tree M-Band Wavelet Transform. CoRR abs/1702.08534 (2017)
[i16]
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Anna Jezierska, Hugues Talbot, Jean-Christophe Pesquet, Gilbert Engler:
Spatially variant PSF modeling in confocal macroscopy. CoRR abs/1707.09858 (2017)
[i15]
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  - journals/corr/abs-1709-06178
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Qi Wei, Emilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet:
A Fast Algorithm Based on a Sylvester-like Equation for LS Regression with GMRF Prior. CoRR abs/1709.06178 (2017)
[i14]
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  - journals/corr/abs-1712-09131
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Luis M. Briceño-Arias, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet:
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression. CoRR abs/1712.09131 (2017)
2016
[j67]
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Emilie Chouzenoux, Jean-Christophe Pesquet, Audrey Repetti:
A block coordinate variable metric forward-backward algorithm. J. Glob. Optim. 66(3): 457-485 (2016)
[j66]
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Steve McLaughlin, Marcelo Pereyra, Alfred O. Hero III, Jean-Yves Tourneret, Jean-Christophe Pesquet:
Introduction to the Issue on Stochastic Simulation and Optimization in Signal Processing. IEEE J. Sel. Top. Signal Process. 10(2): 221-223 (2016)
[j65]
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Marcelo Pereyra, Philip Schniter, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Yves Tourneret, Alfred O. Hero III, Steve McLaughlin:
A Survey of Stochastic Simulation and Optimization Methods in Signal Processing. IEEE J. Sel. Top. Signal Process. 10(2): 224-241 (2016)
[j64]
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Emilie Chouzenoux, Jean-Christophe Pesquet:
Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm. IEEE Signal Process. Lett. 23(9): 1284-1288 (2016)
[c130]
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Patrick L. Combettes, Jean-Christophe Pesquet:
Stochastic forward-backward and primal-dual approximation algorithms with application to online image restoration. EUSIPCO 2016: 1813-1817
[c129]
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Yosra Marnissi, Yuling Zheng, Jean-Christophe Pesquet:
Fast variational Bayesian signal recovery in the presence of Poisson-Gaussian noise. ICASSP 2016: 3964-3968
[c128]
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  - conf/icip/CadoniCPC16
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Sara Cadoni, Emilie Chouzenoux, Jean-Christophe Pesquet, Caroline Chaux:
A block parallel majorize-minimize memory gradient algorithm. ICIP 2016: 3194-3198
[c127]
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Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet:
Random primal-dual proximal iterations for sparse multiclass SVM. MLSP 2016: 1-6
[c126]
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Yosra Marnissi, Emilie Chouzenoux, Jean-Christophe Pesquet, Amel Benazza-Benyahia:
An auxiliary variable method for Langevin based MCMC algorithms. SSP 2016: 1-5
[i13]
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Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet:
Proximity Operators of Discrete Information Divergences. CoRR abs/1606.09552 (2016)
[i12]
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Yosra Marnissi, Yuling Zheng, Emilie Chouzenoux, Jean-Christophe Pesquet:
A Variational Bayesian Approach for Restoring Data Corrupted with Non-Gaussian Noise. CoRR abs/1610.07519 (2016)
2015
[j63]
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Aurélie Pirayre, Camille Couprie, Frédérique Bidard, Laurent Duval, Jean-Christophe Pesquet:
BRANE Cut: biologically-related a priori network enhancement with graph cuts for gene regulatory network inference. BMC Bioinform. 16: 368:1-368:12 (2015)
[j62]
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Emilie Chouzenoux, Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot:
A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood. SIAM J. Imaging Sci. 8(4): 2662-2682 (2015)
[j61]
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Patrick L. Combettes, Jean-Christophe Pesquet:
Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations with Random Sweeping. SIAM J. Optim. 25(2): 1221-1248 (2015)
[j60]
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Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
Epigraphical projection and proximal tools for solving constrained convex optimization problems. Signal Image Video Process. 9(8): 1737-1749 (2015)
[j59]
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Audrey Repetti, Mai Quyen Pham, Laurent Duval, Emilie Chouzenoux, Jean-Christophe Pesquet:
Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed ℓ₁/ℓ₂ Regularization. IEEE Signal Process. Lett. 22(5): 539-543 (2015)
[j58]
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Nikos Komodakis, Jean-Christophe Pesquet:
Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems. IEEE Signal Process. Mag. 32(6): 31-54 (2015)
[c125]
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Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli:
A distributed strategy for computing proximity operators. ACSSC 2015: 396-400
[c124]
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  - conf/camsap/WangASP15
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Lu Wang, Laurent Albera, Lotfi Senhadji, Jean-Christophe Pesquet:
An Alternating Direction Method of Multipliers for constrained joint diagonalization by congruence. CAMSAP 2015: 197-200
[c123]
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  - conf/camsap/CastellaP15
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Marc Castella, Jean-Christophe Pesquet:
Optimization of a Geman-McClure like criterion for sparse signal deconvolution. CAMSAP 2015: 309-312
[c122]
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  - conf/eusipco/RepettiCP15
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Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A parallel block-coordinate approach for primal-dual splitting with arbitrary random block selection. EUSIPCO 2015: 235-239
[c121]
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Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet:
Graph inference enhancement with clustering: Application to Gene Regulatory Network reconstruction. EUSIPCO 2015: 2406-2410
[c120]
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Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet:
Fast convex optimization for connectivity enforcement in gene regulatory network inference. ICASSP 2015: 1002-1006
[c119]
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Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A random block-coordinate primal-dual proximal algorithm with application to 3D mesh denoising. ICASSP 2015: 3561-3565
[c118]
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  - conf/icip/KanjTPL15
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Ali Kanj, Hugues Talbot, Jean-Christophe Pesquet, Raoul Rodriguez Luparello:
Color deflickering for high-speed video in the presence of artificial lighting. ICIP 2015: 976-980
[c117]
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Mai Quyen Pham, Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet:
Sparse adaptive template matching and filtering for 2D seismic images with dual-tree wavelets and proximal methods. ICIP 2015: 2339-2343
[c116]
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Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli:
A dual block coordinate proximal algorithm with application to deconvolution of interlaced video sequences. ICIP 2015: 4917-4921
[c115]
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  - conf/ismm/NajmanPT15
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Laurent Najman, Jean-Christophe Pesquet, Hugues Talbot:
When Convex Analysis Meets Mathematical Morphology on Graphs. ISMM 2015: 473-484
[i11]
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Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
A Proximal Approach for Sparse Multiclass SVM. CoRR abs/1501.03669 (2015)
[i10]
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Marcelo Pereyra, Philip Schniter, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Yves Tourneret, Alfred O. Hero III, Steve McLaughlin:
Tutorial on Stochastic Simulation and Optimization Methods in Signal Processing. CoRR abs/1505.00273 (2015)
2014
[j57]
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Emilie Chouzenoux, Jean-Christophe Pesquet, Audrey Repetti:
Variable Metric Forward-Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function. J. Optim. Theory Appl. 162(1): 107-132 (2014)
[j56]
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Anisia Florescu, Emilie Chouzenoux, Jean-Christophe Pesquet, Philippe Ciuciu, Silviu Ciochina:
A Majorize-Minimize Memory Gradient method for complex-valued inverse problems. Signal Process. 103: 285-295 (2014)
[j55]
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Mounir Kaaniche, Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
A Bit Allocation Method for Sparse Source Coding. IEEE Trans. Image Process. 23(1): 137-152 (2014)
[j54]
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Giovanni Chierchia, Nelly Pustelnik, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
A Nonlocal Structure Tensor-Based Approach for Multicomponent Image Recovery Problems. IEEE Trans. Image Process. 23(12): 5531-5544 (2014)
[j53]
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Anna Jezierska, Caroline Chaux, Jean-Christophe Pesquet, Hugues Talbot, Gilbert Engler:
An EM Approach for Time-Variant Poisson-Gaussian Model Parameter Estimation. IEEE Trans. Signal Process. 62(1): 17-30 (2014)
[j52]
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Mai Quyen Pham, Laurent Duval, Caroline Chaux, Jean-Christophe Pesquet:
A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal. IEEE Trans. Signal Process. 62(16): 4256-4269 (2014)
[c114]
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Yosra Marnissi, Amel Benazza-Benyahia, Emilie Chouzenoux, Jean-Christophe Pesquet:
Majorize-Minimize adapted metropolis-hastings algorithm. Application to multichannel image recovery. EUSIPCO 2014: 1332-1336
[c113]
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Emilie Chouzenoux, Jean-Christophe Pesquet, Anisia Florescu:
A stochastic 3MG algorithm with application to 2D filter identification. EUSIPCO 2014: 1587-1591
[c112]
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Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli:
A hybrid alternating proximal method for blind video restoration. EUSIPCO 2014: 1811-1815
[c111]
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Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A preconditioned Forward-Backward approach with application to large-scale nonconvex spectral unmixing problems. ICASSP 2014: 1498-1502
[c110]
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Mounir Kaaniche, Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
Accurate rate-distortion approximation for sparse Bernoulli-Generalized Gaussian models. ICASSP 2014: 2020-2024
[c109]
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Mai Quyen Pham, Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet:
A constrained-based optimization approach for seismic data recovery problems. ICASSP 2014: 2377-2381
[c108]
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Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
Epigraphical proximal projection for sparse multiclass SVM. ICASSP 2014: 8312-8316
[c107]
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Anisia Florescu, Emilie Chouzenoux, Jean-Christophe Pesquet, Silviu Ciochina:
Cramer-Rao bound for a sparse complex model. COMM 2014: 1-4
[c106]
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Emilie Chouzenoux, Jean-Christophe Pesquet, Anisia Florescu:
A multi-parameter optimization approach for complex continuous sparse modelling. DSP 2014: 817-820
[c105]
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Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A nonconvex regularized approach for phase retrieval. ICIP 2014: 1753-1757
[c104]
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Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot, Caroline Chaux:
Iterative poisson-Gaussian noise parametric estimation for blind image denoising. ICIP 2014: 2819-2823
[c103]
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Patrick L. Combettes, Laurent Condat, Jean-Christophe Pesquet, Bang Công Vu:
A forward-backward view of some primal-dual optimization methods in image recovery. ICIP 2014: 4141-4145
[i9]
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Giovanni Chierchia, Nelly Pustelnik, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
A Non-Local Structure Tensor Based Approach for Multicomponent Image Recovery Problems. CoRR abs/1403.5403 (2014)
[i8]
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Mai Quyen Pham, Laurent Duval, Caroline Chaux, Jean-Christophe Pesquet:
A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal. CoRR abs/1405.1081 (2014)
[i7]
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Nikos Komodakis, Jean-Christophe Pesquet:
Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems. CoRR abs/1406.5429 (2014)
2013
[j51]
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Caroline Chaux, Mireille El Gheche, Joumana Farah, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
A Parallel Proximal Splitting Method for Disparity Estimation from Multicomponent Images Under Illumination Variation. J. Math. Imaging Vis. 47(3): 167-178 (2013)
[j50]
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Emilie Chouzenoux, Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot:
A Majorize-Minimize Subspace Approach for ℓ₂-ℓ₀ Image Regularization. SIAM J. Imaging Sci. 6(1): 563-591 (2013)
[j49]
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Camille Couprie, Leo J. Grady, Laurent Najman, Jean-Christophe Pesquet, Hugues Talbot:
Dual Constrained TV-based Regularization on Graphs. SIAM J. Imaging Sci. 6(3): 1246-1273 (2013)
[c102]
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Anisia Florescu, Emilie Chouzenoux, Jean-Christophe Pesquet, Philippe Ciuciu, Silviu Ciochina:
A complex-valued Majorize-Minimize Memory Gradient method with application to parallel MRI. EUSIPCO 2013: 1-5
[c101]
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Mireille El Gheche, Anna Jezierska, Jean-Christophe Pesquet, Joumana Farah:
A proximal approach for signal recovery based on information measures. EUSIPCO 2013: 1-5
[c100]
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Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor. ICASSP 2013: 1359-1363
[c99]
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Mai Quyen Pham, Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet:
Seismic multiple removal with a primal-dual proximal algorithm. ICASSP 2013: 2257-2261
[c98]
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Mireille El Gheche, Jean-Christophe Pesquet, Joumana Farah:
A proximal approach for optimization problems involving kullback divergences. ICASSP 2013: 5984-5988
[c97]
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Yosra Marnissi, Amel Benazza-Benyahia, Emilie Chouzenoux, Jean-Christophe Pesquet:
Generalized multivariate exponential power prior for wavelet-based multichannel image restoration. ICIP 2013: 2402-2406
[c96]
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  - conf/scalespace/HarizanovPS13
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Stanislav Harizanov, Jean-Christophe Pesquet, Gabriele Steidl:
Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems. SSVM 2013: 125-136
2012
[j48]
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Mounir Kaaniche, Béatrice Pesquet-Popescu, Amel Benazza-Benyahia, Jean-Christophe Pesquet:
Adaptive lifting scheme with sparse criteria for image coding. EURASIP J. Adv. Signal Process. 2012: 10 (2012)
[j47]
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Nelly Pustelnik, Jean-Christophe Pesquet, Caroline Chaux:
Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration. IEEE Trans. Signal Process. 60(2): 968-973 (2012)
[c95]
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Diego Gragnaniello, Caroline Chaux, Jean-Christophe Pesquet, Laurent Duval:
A convex variational approach for multiple removal in seismic data. EUSIPCO 2012: 215-219
[c94]
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Mounir Kaaniche, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
ℓ1-adapted non separable vector lifting schemes for stereo image coding. EUSIPCO 2012: 769-773
[c93]
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Sonja Hiltunen, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
Comparison of two proximal splitting algorithms for solving multilabel disparity estimation problems. EUSIPCO 2012: 1134-1138
[c92]
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Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A penalized weighted least squares approach for restoring data corrupted with signal-dependent noise. EUSIPCO 2012: 1553-1557
[c91]
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Anna Jezierska, Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot:
A primal-dual proximal splitting approach for restoring data corrupted with poisson-gaussian noise. ICASSP 2012: 1085-1088
[c90]
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Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
A proximal approach for constrained cosparse modelling. ICASSP 2012: 3433-3436
[c89]
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Mounir Kaaniche, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet, Amel Benazza-Benyahia:
Adaptive lifting schemes with a global ℓ1 minimization technique for image coding. ICIP 2012: 2461-2464
[c88]
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Anna Jezierska, Hugues Talbot, Caroline Chaux, Jean-Christophe Pesquet, Gilbert Engler:
Poisson-Gaussian noise parameter estimation in fluorescence microscopy imaging. ISBI 2012: 1663-1666
[c87]
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Mounir Kaaniche, Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
A convex programming bit allocation method for sparse sources. PCS 2012: 277-280
[i6]
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  - journals/corr/abs-1201-0022
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Lotfi Chaâri, Sébastien Mériaux, Solveig Badillo, Jean-Christophe Pesquet, Philippe Ciuciu:
Multidimensional Wavelet-based Regularized Reconstruction for Parallel Acquisition in Neuroimaging. CoRR abs/1201.0022 (2012)
[i5]
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  - journals/corr/abs-1210-5844
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Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems: Part I. CoRR abs/1210.5844 (2012)
2011
[j46]
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Luis M. Briceño-Arias, Patrick L. Combettes, Jean-Christophe Pesquet, Nelly Pustelnik:
Proximal Algorithms for Multicomponent Image Recovery Problems. J. Math. Imaging Vis. 41(1-2): 3-22 (2011)
[j45]
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Caroline Chaux, Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot:
A Spatial Regularization Approach for Vector Quantization. J. Math. Imaging Vis. 41(1-2): 23-38 (2011)
[j44]
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Lotfi Chaâri, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Philippe Ciuciu:
A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging. Medical Image Anal. 15(2): 185-201 (2011)
[j43]
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Thierry Blu, Laurent Duval, Truong Q. Nguyen, Jean-Christophe Pesquet:
Advances in multirate filter bank structures and multiscale representations. Signal Process. 91(12): 2697-2698 (2011)
[j42]
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Mounir Kaaniche, Amel Benazza-Benyahia, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
Non-separable lifting scheme with adaptive update step for still and stereo image coding. Signal Process. 91(12): 2767-2782 (2011)
[j41]
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Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet:
Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization. IEEE Trans. Image Process. 20(9): 2450-2462 (2011)
[c86]
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Anna Jezierska, Caroline Chaux, Jean-Christophe Pesquet, Hugues Talbot:
An EM approach for Poisson-Gaussian noise modeling. EUSIPCO 2011: 2244-2248
[c85]
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Mireille El Gheche, Jean-Christophe Pesquet, Joumana Farah, Mounir Kaaniche, Béatrice Pesquet-Popescu:
Proximal splitting methods for depth estimation. ICASSP 2011: 853-856
[c84]
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  - conf/icassp/CouprieTPNG11
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Camille Couprie, Hugues Talbot, Jean-Christophe Pesquet, Laurent Najman, Leo J. Grady:
Dual constrained TV-based regularization. ICASSP 2011: 945-948
[c83]
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Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot, Anna Jezierska:
A Memory Gradient algorithm for ℓ2 - ℓ0 regularization with applications to image restoration. ICIP 2011: 2717-2720
[c82]
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Lotfi Chaâri, Sébastien Mériaux, Solveig Badillo, Philippe Ciuciu, Jean-Christophe Pesquet:
3D wavelet-based regularization for parallel MRI reconstruction: Impact on subject and group-level statistical sensitivity in fMRI. ISBI 2011: 460-464
[c81]
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  - conf/isbi/MarinCPC11
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Alexandru Marin, Caroline Chaux, Jean-Christophe Pesquet, Philippe Ciuciu:
Image reconstruction from multiple sensors using stein's principle. Application to parallel MRI. ISBI 2011: 465-468
[c80]
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Mireille El Gheche, Jean-Christophe Pesquet, Joumana Farah, Caroline Chaux, Béatrice Pesquet-Popescu:
Disparity map estimation under convex constraints using proximal algorithms. SiPS 2011: 293-298
[p1]
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  - books/sp/11/CombettesP11
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Patrick L. Combettes, Jean-Christophe Pesquet:
Proximal Splitting Methods in Signal Processing. Fixed-Point Algorithms for Inverse Problems in Science and Engineering 2011: 185-212
[i4]
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Lotfi Chaâri, Sébastien Mériaux, Solveig Badillo, Jean-Christophe Pesquet, Philippe Ciuciu:
4D Wavelet-Based Regularization for Parallel MRI Reconstruction: Impact on Subject and Group-Levels Statistical Sensitivity in fMRI. CoRR abs/1103.3532 (2011)
[i3]
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  - journals/corr/abs-1105-5275
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Nelly Pustelnik, Jean-Christophe Pesquet, Caroline Chaux:
Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration. CoRR abs/1105.5275 (2011)
[i2]
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  - journals/corr/abs-1108-5395
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Caroline Chaux, Jean-Christophe Pesquet, Laurent Duval:
Noise Covariance Properties in Dual-Tree Wavelet Decompositions. CoRR abs/1108.5395 (2011)
2010
[j40]
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Lotfi Chaâri, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu, Amel Benazza-Benyahia:
A hierarchical Bayesian model for frame representation. IEEE Trans. Signal Process. 58(11): 5560-5571 (2010)
[c79]
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Nelly Pustelnik, Jean-Christophe Pesquet, Caroline Chaux:
Proximal methods for image restoration using a class of non-tight frame representations. EUSIPCO 2010: 611-615
[c78]
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Mounir Kaaniche, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Béatrice Pesquet-Popescu:
Two-dimensional non separable adaptive lifting scheme for still and stereo image coding. ICASSP 2010: 1298-1301
[c77]
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Lotfi Chaâri, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu, Amel Benazza-Benyahia:
A hierarchical Bayesian model for frame representation. ICASSP 2010: 4086-4089
[c76]
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  - conf/icip/BolteCP10
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Jérôme Bolte, Patrick L. Combettes, Jean-Christophe Pesquet:
Alternating proximal algorithm for blind image recovery. ICIP 2010: 1673-1676
[c75]
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Luis M. Briceño-Arias, Patrick L. Combettes, Jean-Christophe Pesquet, Nelly Pustelnik:
Proximal method for geometry and texture image decomposition. ICIP 2010: 2721-2724
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Anna Jezierska, Caroline Chaux, Hugues Talbot, Jean-Christophe Pesquet:
Image quantization under spatial smoothness constraints. ICIP 2010: 4297-4300

2000 – 2009

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2009
[j39]
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Caroline Chaux, Jean-Christophe Pesquet, Nelly Pustelnik:
Nested Iterative Algorithms for Convex Constrained Image Recovery Problems. SIAM J. Imaging Sci. 2(2): 730-762 (2009)
[j38]
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Wided Miled, Jean-Christophe Pesquet, Michel Parent:
A Convex Optimization Approach for Depth Estimation Under Illumination Variation. IEEE Trans. Image Process. 18(4): 813-830 (2009)
[j37]
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Mounir Kaaniche, Amel Benazza-Benyahia, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
Vector Lifting Schemes for Stereo Image Coding. IEEE Trans. Image Process. 18(11): 2463-2475 (2009)
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Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
On the uniform quantization of a class of sparse sources. IEEE Trans. Inf. Theory 55(7): 3243-3263 (2009)
[j35]
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Jérôme Gauthier, Laurent Duval, Jean-Christophe Pesquet:
Optimization of synthesis oversampled complex filter banks. IEEE Trans. Signal Process. 57(10): 3827-3843 (2009)
[j34]
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Jean-Christophe Pesquet, Amel Benazza-Benyahia, Caroline Chaux:
A SURE approach for digital signal/image deconvolution problems. IEEE Trans. Signal Process. 57(12): 4616-4632 (2009)
[c73]
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Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet:
Hybrid regularization for data restoration in the presence of Poisson noise. EUSIPCO 2009: 1394-1398
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Patrick L. Combettes, Jean-Christophe Pesquet:
Split convex minimization algorithm for signal recovery. ICASSP 2009: 685-688
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Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet:
A wavelet-based quadratic extension method for image deconvolution in the presence of poisson noise. ICASSP 2009: 701-704
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Mounir Kaaniche, Wided Miled, Béatrice Pesquet-Popescu, Amel Benazza-Benyahia, Jean-Christophe Pesquet:
Dense disparity map representations for stereo image coding. ICIP 2009: 725-728
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Lotfi Chaâri, Amel Benazza-Benyahia, Jean-Christophe Pesquet, Philippe Ciuciu:
Wavelet-based parallel MRI regularization using bivariate sparsity promoting priors. ICIP 2009: 1725-1728
[i1]
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Jérôme Gauthier, Laurent Duval, Jean-Christophe Pesquet:
Optimization of Synthesis Oversampled Complex Filter Banks. CoRR abs/0907.3654 (2009)
2008
[j33]
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Caroline Chaux, Laurent Duval, Amel Benazza-Benyahia, Jean-Christophe Pesquet:
A Nonlinear Stein-Based Estimator for Multichannel Image Denoising. IEEE Trans. Signal Process. 56(8-2): 3855-3870 (2008)
[c68]
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Jérôme Gauthier, Laurent Duval, Jean-Christophe Pesquet:
Two denoising SURE-LET methods for complex oversampled subband decompositions. EUSIPCO 2008: 1-5
[c67]
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Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet:
A constrained forward-backward algorithm for image recovery problems. EUSIPCO 2008: 1-5
[c66]
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Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
Rate-distortion results for Generalized Gaussian distributions. ICASSP 2008: 3753-3756
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Lotfi Chaâri, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Philippe Ciuciu:
Autocalibrated regularized parallel mri reconstruction in the wavelet domain. ISBI 2008: 756-759
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Wided Miled, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
A convex programming approach for color stereo matching. MMSP 2008: 326-331
2007
[j32]
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Amel Benazza-Benyahia, Jean-Christophe Pesquet, Jamel Hattay, Hela Masmoudi:
Block-Based Adaptive Vector Lifting Schemes for Multichannel Image Coding. EURASIP J. Image Video Process. 2007 (2007)
[j31]
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Patrick L. Combettes, Jean-Christophe Pesquet:
A Douglas-Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery. J. Sel. Topics Signal Processing 1(4): 564-574 (2007)
[j30]
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Patrick L. Combettes, Jean-Christophe Pesquet:
Proximal Thresholding Algorithm for Minimization over Orthonormal Bases. SIAM J. Optim. 18(4): 1351-1376 (2007)
[j29]
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Caroline Chaux, Jean-Christophe Pesquet, Laurent Duval:
Noise Covariance Properties in Dual-Tree Wavelet Decompositions. IEEE Trans. Inf. Theory 53(12): 4680-4700 (2007)
[j28]
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Marc Castella, Saloua Rhioui, Eric Moreau, Jean-Christophe Pesquet:
Quadratic Higher Order Criteria for Iterative Blind Separation of a MIMO Convolutive Mixture of Sources. IEEE Trans. Signal Process. 55(1): 218-232 (2007)
[j27]
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Eric Moreau, Jean-Christophe Pesquet, Nadège Thirion-Moreau:
Convolutive Blind Signal Separation Based on Asymmetrical Contrast Functions. IEEE Trans. Signal Process. 55(1): 356-371 (2007)
[c63]
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Wided Miled, Jean-Christophe Pesquet, Michel Parent:
Robust Obstacle Detection Based on Dense Disparity Maps. EUROCAST 2007: 1142-1150
[c62]
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Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
Lifting schemes for joint coding of stereoscopic pairs of satellite images). EUSIPCO 2007: 980-984
[c61]
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Patrick L. Combettes, Jean-Christophe Pesquet:
Sparse signal recovery by iterative proximal thresholding. EUSIPCO 2007: 1726-1730
[c60]
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Jérôme Gauthier, Laurent Duval, Jean-Christophe Pesquet:
Oversampled Inverse Complex Lapped Transform Optimization. ICASSP (1) 2007: 549-552
[c59]
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Teodora Petrisor, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
A Compressed Sensing Approach to Frame-Based Multiple Description Coding. ICASSP (2) 2007: 709-712
[c58]
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Caroline Chaux, Jean-Christophe Pesquet, Laurent Duval:
2D Dual-Tree Complex Biorthogonal M-Band Wavelet Transform. ICASSP (3) 2007: 845-848
2006
[j26]
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Marc Castella, Pascal Bianchi, Antoine Chevreuil, Jean-Christophe Pesquet:
A blind source separation framework for detecting CPM sources mixed by a convolutive MIMO filter. Signal Process. 86(8): 1950-1967 (2006)
[j25]
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Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet:
Image analysis using a dual-tree M-band wavelet transform. IEEE Trans. Image Process. 15(8): 2397-2412 (2006)
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Wided Miled, Jean-Christophe Pesquet:
Disparity Map Estimation Using A Total Variation Bound. CRV 2006: 48
[c56]
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Amel Benazza-Benyahia, Jean-Christophe Pesquet:
Multichannel image deconvolution in the Wavelet Transform domain. EUSIPCO 2006: 1-5
[c55]
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Caroline Chaux, Patrick L. Combettes, Jean-Christophe Pesquet, Valérie R. Wajs:
Iterative image deconvolution using overcomplete representations. EUSIPCO 2006: 1-5
[c54]
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Wided Miled, Jean-Christophe Pesquet, Michel Parent:
Wavelet-constrained regularization for disparity map estimation. EUSIPCO 2006: 1-5
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Caroline Chaux, Laurent Duval, Amel Benazza-Benyahia, Jean-Christophe Pesquet:
A New Estimator for Image Denoising Using a 2D Dual-Tree M-Band Wavelet Decomposition. ICASSP (3) 2006: 249-252
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Jérôme Gauthier, Laurent Duval, Jean-Christophe Pesquet:
Low Redundancy Oversampled Lapped Transforms and Application to 3D Seismic Data Filtering. ICASSP (2) 2006: 821-824
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Heinz H. Bauschke, Patrick L. Combettes, Jean-Christophe Pesquet:
A Decomposition Method for Nonsmooth Convex Variational Signal Recovery. ICASSP (5) 2006: 989-992
2005
[j24]
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Amel Benazza-Benyahia, Jean-Christophe Pesquet:
Building robust wavelet estimators for multicomponent images using Stein's principle. IEEE Trans. Image Process. 14(11): 1814-1830 (2005)
[j23]
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Marc Castella, Jean-Christophe Pesquet, Athina P. Petropulu:
A family of frequency- and time-domain contrasts for blind separation of convolutive mixtures of temporally dependent signals. IEEE Trans. Signal Process. 53(1): 107-120 (2005)
[c50]
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Jérôme Gauthier, Laurent Duval, Jean-Christophe Pesquet:
A non-separable 2D complex modulated lapped transform and its applications to seismic data filtering. EUSIPCO 2005: 1-4
[c49]
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Teodora Petrisor, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
Perfect reconstruction in reduced redundancy wavelet-based multiple description coding of images. EUSIPCO 2005: 1-4
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Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet:
2D dual-tree M-band wavelet decomposition. ICASSP (4) 2005: 537-540
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Marc Castella, Saloua Rhioui, Eric Moreau, Jean-Christophe Pesquet:
Source separation by quadratic contrast functions: a blind approach based on any higher-order statistics. ICASSP (3) 2005: 569-572
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Teodora Petrisor, Christophe Tillier, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
Comparison of redundant wavelet schemes for multiple description coding of video sequences. ICASSP (5) 2005: 913-916
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Jamel Hattay, Amel Benazza-Benyahia, Jean-Christophe Pesquet:
An embedded coder for multispectral image compression based on vector lifting structures. ICECS 2005: 1-4
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Teodora Petrisor, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
Wavelet-based multiple description coding of images with iterative convex optimization techniques. ICIP (3) 2005: 924-927
2004
[j22]
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Patrick L. Combettes, Jean-Christophe Pesquet:
Wavelet-Constrained Image Restoration. Int. J. Wavelets Multiresolution Inf. Process. 2(4): 371-389 (2004)
[j21]
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Patrick L. Combettes, Jean-Christophe Pesquet:
Image restoration subject to a total variation constraint. IEEE Trans. Image Process. 13(9): 1213-1222 (2004)
[c43]
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Marc Castella, Pascal Bianchi, Antoine Chevreuil, Jean-Christophe Pesquet:
Blind mimo detection of convolutively mixed CPM sources. EUSIPCO 2004: 165-168
[c42]
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Amel Benazza-Benyahia, Jean-Christophe Pesquet:
An interscale multivariate map estimation of multispectral images. EUSIPCO 2004: 573-576
[c41]
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Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet:
Hilbert pairs of M-band orthonormal wavelet bases. EUSIPCO 2004: 1187-1190
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Marc Castella, Jean-Christophe Pesquet:
An Iterative Blind Source Separation Method for Convolutive Mixtures of Images. ICA 2004: 922-929
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Marc Castella, Eric Moreau, Jean-Christophe Pesquet:
A quadratic MISO contrast function for blind equalization. ICASSP (2) 2004: 681-684
[c38]
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Patrick L. Combettes, Jean-Christophe Pesquet:
Constraint construction in convex set theoretic signal recovery via Stein's principle [image denoising example]. ICASSP (2) 2004: 813-816
[c37]
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Amel Benazza-Benyahia, Jean-Christophe Pesquet:
An extended sure approach for multicomponent image denoising. ICASSP (2) 2004: 945-948
[c36]
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Patrick L. Combettes, Jean-Christophe Pesquet:
Estimating first-order finite-difference information in image restoration problems. ICIP 2004: 321-324
[c35]
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Teodora Petrisor, Christophe Tillier, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
Redundant multiresolution analysis for multiple description video coding. MMSP 2004: 95-98
2003
[j20]
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Amel Benazza-Benyahia, Jean-Christophe Pesquet, Hamid Krim:
A nonlinear diffusion-based three-band filter bank. IEEE Signal Process. Lett. 10(12): 360-363 (2003)
[c34]
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Sami Touati, Jean-Christophe Pesquet:
Wavelet estimation of cyclospectra. ICASSP (6) 2003: 289-292
[c33]
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Patrick L. Combettes, Jean-Christophe Pesquet:
Total variation information in image recovery. ICIP (3) 2003: 373-376
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Amel Benazza-Benyahia, Jean-Christophe Pesquet, M. H. Gharbia:
Adapted vector-lifting schemes for multiband textured image coding. IGARSS 2003: 1833-1835
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Patrick L. Combettes, Jean-Christophe Pesquet:
Image deconvolution with total variation bounds. ISSPA (1) 2003: 441-444
2002
[j19]
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Sami Touati, Jean-Christophe Pesquet:
Some Results on the Wavelet Packet Decomposition of Nonstationary Processes. EURASIP J. Adv. Signal Process. 2002(11): 1289-1295 (2002)
[j18]
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Amel Benazza-Benyahia, Jean-Christophe Pesquet:
A unifying framework for lossless and progressive image coding. Pattern Recognit. 35(3): 627-638 (2002)
[j17]
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Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
Synthesis of bidimensional alpha-stable models with long-range dependence. Signal Process. 82(12): 1927-1940 (2002)
[j16]
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Olivier Cappé, Eric Moulines, Jean-Christophe Pesquet, Athina P. Petropulu, Xueshi Yang:
Long-range dependence and heavy-tail modeling for teletraffic data. IEEE Signal Process. Mag. 19(3): 14-27 (2002)
[j15]
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Amel Benazza-Benyahia, Jean-Christophe Pesquet, Mohamed Hamdi:
Vector-lifting schemes for lossless coding and progressive archival of multispectral images. IEEE Trans. Geosci. Remote. Sens. 40(9): 2011-2024 (2002)
[c30]
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Amel Benazza-Benyahia, Jean-Christophe Pesquet:
A block-based predictive lossless cod for quincunx multispectral images. EUSIPCO 2002: 1-4
[c29]
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Marc Castella, Jean-Christophe Pesquet, Athina P. Petropulu:
New contrasts for blind separation of non iid sources in the convolutive case. EUSIPCO 2002: 1-4
[c28]
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Sami Touati, Jean-Christophe Pesquet:
Wavelet-thresholding for bispectrum estimation. EUSIPCO 2002: 1-4
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Jean-Christophe Pesquet, Eric Moreau, Nadège Thirion-Moreau:
Performance analysis of blind signal separation methods based on asymmetric contrast functions. ICASSP 2002: 1689-1692
[c26]
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Amel Benazza-Benyahia, Jean-Christophe Pesquet, Noura Azzabou:
A new interband multiwavelet decomposition for exact coding of multicomponent images. ICASSP 2002: 3521-3524
2001
[j14]
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David Leporini, Jean-Christophe Pesquet:
Bayesian wavelet denoising: Besov priors and non-Gaussian noises. Signal Process. 81(1): 55-67 (2001)
[j13]
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Jean-Christophe Pesquet, Eric Moreau:
Cumulant-based independence measures for linear mixtures. IEEE Trans. Inf. Theory 47(5): 1947-1956 (2001)
[c25]
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Amel Benazza-Benyahia, Jean-Christophe Pesquet, Mohamed Hamdi:
Lossless coding for progressive archival of multispectral images. ICASSP 2001: 1817-1820
[c24]
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Jean-Christophe Pesquet, Binning Chen, Athina P. Petropulu:
Frequency-domain contrast functions for separation of convolutive mixtures. ICASSP 2001: 2765-2768
[c23]
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Xueshi Yang, Athina P. Petropulu, Jean-Christophe Pesquet:
Estimating long-range dependence in impulsive traffic flows. ICASSP 2001: 3413-3416
[c22]
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Béatrice Pesquet-Popescu, Jean-Christophe Pesquet, Athina P. Petropulu:
Joint singular value decomposition - a new tool for separable representation of images. ICIP (2) 2001: 569-572
2000
[j12]
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Frances Jane Hampson, Jean-Christophe Pesquet:
Motion estimation in the presence of illumination variations. Signal Process. Image Commun. 16(4): 373-381 (2000)
[j11]
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Athina P. Petropulu, Jean-Christophe Pesquet, Xueshi Yang:
Power-law shot noise and its relationship to long-memory α-stable processes. IEEE Trans. Signal Process. 48(7): 1883-1892 (2000)
[c21]
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Amel Benazza-Benyahia, Jean-Christophe Pesquet, A. Amara:
Nonlinear bank filters adapted for progressive and exact image reconstruction. EUSIPCO 2000: 1-4
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Amina Serir, Jean-Christophe Pesquet:
Multiplivative matching pursuit. ICASSP 2000: 1935-1938

1990 – 1999

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1999
[j10]
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David Leporini, Jean-Christophe Pesquet:
High-Order Wavelet Packets and Cumulant Field Analysis. IEEE Trans. Inf. Theory 45(3): 863-877 (1999)
[c19]
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Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
Bidimensional alpha-stable models with long-range dependence. NSIP 1999: 199-203
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Amel Benazza-Benyahia, Jean-Christophe Pesquet:
Progressive and lossless image coding using optimized nonlinear subband decompositions. NSIP 1999: 761-765
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Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
Nonlinear methods for the identification of 2D models with long-range dependence. NSIP 1999: 867-871
1998
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Patrick L. Combettes, Jean-Christophe Pesquet:
Convex Multiresolution Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 20(12): 1308-1318 (1998)
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Frances Jane Hampson, Jean-Christophe Pesquet:
M-band nonlinear subband decompositions with perfect reconstruction. IEEE Trans. Image Process. 7(11): 1547-1560 (1998)
[c16]
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David Leporini, Jean-Christophe Pesquet:
Wavelet thresholding for a wide class of noise distributions. EUSIPCO 1998: 1-4
[c15]
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B. Pouye, Amel Benazza-Benyahia, Ilya Pollak, Jean-Christophe Pesquet, Hamid Krim:
Nonlinear frame-like decompositions. EUSIPCO 1998: 1-4
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Hamid Krim, Jean-Christophe Pesquet, Irvin C. Schick:
Parsimony and wavelet methods for denoising. ICASSP 1998: 1869-1872
[c13]
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Patrick L. Combettes, Jean-Christophe Pesquet:
Nonlinear Multiresolution Image Analysis via Convex Projections. ICIP (2) 1998: 762-765
1997
[j7]
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Eric Moreau, Jean-Christophe Pesquet:
Generalized contrasts for multichannel blind deconvolution of linear systems. IEEE Signal Process. Lett. 4(6): 182-183 (1997)
[c12]
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Eric Moreau, Jean-Christophe Pesquet:
Independence/decorrelation measures with applications to optimized orthonormal representations. ICASSP 1997: 3425-3428
1996
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Ioannis Dologlou, Jean-Christophe Pesquet, J. Skowronski:
Projection-based rank reduction algorithms for multichannel modelling and image compression. Signal Process. 48(2): 97-109 (1996)
[j5]
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Jean-Christophe Pesquet, Patrick L. Combettes:
Wavelet synthesis by alternating projections. IEEE Trans. Signal Process. 44(3): 728-732 (1996)
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Jean-Christophe Pesquet, Hamid Krim, Hervé Carfantan:
Time-invariant orthonormal wavelet representations. IEEE Trans. Signal Process. 44(8): 1964-1970 (1996)
[c11]
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E. Ademovic, Jean-Christophe Pesquet, G. Charbonneau:
Double tree decomposition of lung sounds. EUSIPCO 1996: 1-4
[c10]
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Frances Jane Hampson, Jean-Christophe Pesquet:
A nonlinear subband decomposition with perfect reconstruction. ICASSP 1996: 1523-1526
[c9]
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Jean-Christophe Pesquet, Hamid Krim, David Leporini, E. Hamman:
Bayesian approach to best basis selection. ICASSP 1996: 2634-2637
[c8]
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Dana H. Brooks, Hamid Krim, Jean-Christophe Pesquet, Robert S. MacLeod:
Best basis segmentation of ECG signals using novel optimality criteria. ICASSP 1996: 2750-2753
[c7]
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Frances Jane Hampson, R. E. H. Franich, Jean-Christophe Pesquet, Jan Biemond:
Pel-recursive motion estimation in the presence of illumination variations. ICIP (1) 1996: 101-104
1995
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Hamid Krim, Jean-Christophe Pesquet:
Multiresolution analysis of a class of nonstationary processes. IEEE Trans. Inf. Theory 41(4): 1010-1020 (1995)
[c6]
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Jean-Christophe Pesquet:
M-band wavelet decomposition of second order random processes. ICASSP 1995: 1545-1548
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Frances Jane Hampson, Jean-Christophe Pesquet:
A grey scale morphological approach for displaced frame difference coding. ICIP 1995: 522-525
1993
[j2]
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Jean-Christophe Pesquet, Odile Macchi, Georgios Tziritas:
Soft-constrained LMS algorithms for decoder stability in backward adaptive predictive systems. Signal Process. 31(1): 1-15 (1993)
[c4]
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Hamid Krim, Jean-Christophe Pesquet, K. Drouiche:
Tracking nonstationarities with a wavelet transform. ICASSP (1) 1993: 245-248
1992
[j1]
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Georgios Tziritas, Jean-Christophe Pesquet:
Predictive coding of images using an adaptive intra-frame predictor and motion compensation. Signal Process. Image Commun. 4(6): 457-476 (1992)
[c3]
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Jean-Christophe Pesquet:
Orthonormal wavelets for finite sequences. ICASSP 1992: 609-612
1990
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Jean-Christophe Pesquet, Georgios Tziritas, Odile Macchi:
Modified LMS algorithms for robust ADPCM. ICASSP 1990: 1405-1408

1980 – 1989

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1989
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George Tziritas, Jean-Christophe Pesquet:
A hybrid image coder: adaptive intra-interframe prediction using motion compensation. ICASSP 1989: 1878-1881

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