Proximal splitting methods for depth estimation. - Mireille El Gheche; Jean-Christophe Pesquet; Joumana Farah; Mounir Kaaniche; Béatrice Pesquet-Popescu (ICASSP, 2011)

Disparity map estimation under convex constraints using proximal algorithms. - Mireille El Gheche; Jean-Christophe Pesquet; Joumana Farah; Caroline Chaux; Béatrice Pesquet-Popescu (SiPS, 2011)

A proximal approach for signal recovery based on information measures. - Mireille El Gheche; Anna Jezierska; Jean-Christophe Pesquet; Joumana Farah (EUSIPCO, 2013)

A proximal approach for optimization problems involving kullback divergences. - Mireille El Gheche; Jean-Christophe Pesquet; Joumana Farah (ICASSP, 2013)

A Parallel Proximal Splitting Method for Disparity Estimation from Multicomponent Images Under Illumination Variation. - Caroline Chaux; Mireille El Gheche; Joumana Farah; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (J. Math. Imaging Vis., 2013)

Texture synthesis guided by a low-resolution image. - Mireille El Gheche; Jean-François Aujol; Yannick Berthoumieu; Charles-Alban Deledalle; Ronan Fablet (IVMSP, 2016)

Image Zoom Completion. - Moncef Hidane; Mireille El Gheche; Jean-François Aujol; Yannick Berthoumieu; Charles-Alban Deledalle (IEEE Trans. Image Process., 2016)

Multitemporal SAR Image Despeckling Based on Block-Matching and Collaborative Filtering. - Giovanni Chierchia; Mireille El Gheche; Giuseppe Scarpa; Luisa Verdoliva (IEEE Trans. Geosci. Remote. Sens., 2017)

Texture Reconstruction Guided by a High-Resolution Patch. - Mireille El Gheche; Jean-François Aujol; Yannick Berthoumieu; Charles-Alban Deledalle (IEEE Trans. Image Process., 2017)

Graph Heat Mixture Model Learning. - Hermina Petric Maretic; Mireille El Gheche; Pascal Frossard (ACSSC, 2018)

A Nonsmooth Graph-Based Approach to Light Field Super-Resolution. - Mattia Rossi; Mireille El Gheche; Pascal Frossard (ICIP, 2018)

Multilayer Graph Signal Clustering. - Mireille El Gheche; Pascal Frossard (CoRR, 2018)

Proximity Operators of Discrete Information Divergences. - Mireille El Gheche; Giovanni Chierchia; Jean-Christophe Pesquet (IEEE Trans. Inf. Theory, 2018)

Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint. - Mireille El Gheche; Giovanni Chierchia; Pascal Frossard (ICASSP, 2019)

GOT: An Optimal Transport framework for Graph comparison. - Hermina Petric Maretic; Mireille El Gheche; Giovanni Chierchia; Pascal Frossard (NeurIPS, 2019)

CDOT: Continuous Domain Adaptation using Optimal Transport. - Guillermo Ortiz-Jiménez; Mireille El Gheche; Effrosyni Simou; Hermina Petric Maretic; Pascal Frossard (CoRR, 2019)

Joint Graph-Based Depth Refinement and Normal Estimation. - Mattia Rossi; Mireille El Gheche; Andreas Kuhn 005; Pascal Frossard (CVPR, 2020)

Forward-Backward Splitting for Optimal Transport Based Problems. - Guillermo Ortiz-Jiménez; Mireille El Gheche; Effrosyni Simou; Hermina Petric Maretic; Pascal Frossard (ICASSP, 2020)

Multilayer Clustered Graph Learning. - Mireille El Gheche; Pascal Frossard (CoRR, 2020)

OrthoNet: Multilayer Network Data Clustering. - Mireille El Gheche; Giovanni Chierchia; Pascal Frossard (IEEE Trans. Signal Inf. Process. over Networks, 2020)

Yapa: Accelerated Proximal Algorithm for Convex Composite Problems. - Giovanni Chierchia; Mireille El Gheche (ICASSP, 2021)

Figlearn: Filter and Graph Learning Using Optimal Transport. - Matthias Minder; Zahra Farsijani; Dhruti Shah; Mireille El Gheche; Pascal Frossard (ICASSP, 2021)

Multilayer Graph Clustering with Optimized Node Embedding. - Mireille El Gheche; Pascal Frossard (CoRR, 2021)

fGOT: Graph Distances Based on Filters and Optimal Transport. - Hermina Petric Maretic; Mireille El Gheche; Giovanni Chierchia; Pascal Frossard (AAAI, 2022)

Distributed Graph Learning With Smooth Data Priors. - Isabela Cunha Maia Nobre; Mireille El Gheche; Pascal Frossard (ICASSP, 2022)

Wasserstein-Based Graph Alignment. - Hermina Petric Maretic; Mireille El Gheche; Matthias Minder; Giovanni Chierchia; Pascal Frossard (IEEE Trans. Signal Inf. Process. over Networks, 2022)