Mireille El Gheche

35 papers A* 3B 1Misc 8Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2022	Misc	`conf`	Distributed Graph Learning With Smooth Data Priors. ICASSP Isabela Cunha Maia Nobre, Mireille El Gheche, Pascal Frossard
2022	J	`jnl`	Wasserstein-Based Graph Alignment. IEEE Trans. Signal Inf. Process. over Networks Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard
2022	A*	`conf`	fGOT: Graph Distances Based on Filters and Optimal Transport. AAAI Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
2021	J	`jnl`	Distributed Graph Learning with Smooth Data Priors. CoRR Isabela Cunha Maia Nobre, Mireille El Gheche, Pascal Frossard
2021	J	`jnl`	FGOT: Graph Distances based on Filters and Optimal Transport. CoRR Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
2021	Misc	`conf`	Figlearn: Filter and Graph Learning Using Optimal Transport. ICASSP Matthias Minder, Zahra Farsijani, Dhruti Shah, Mireille El Gheche, Pascal Frossard
2021	J	`jnl`	Multilayer Graph Clustering with Optimized Node Embedding. CoRR Mireille El Gheche, Pascal Frossard
2021	Misc	`conf`	Yapa: Accelerated Proximal Algorithm for Convex Composite Problems. ICASSP Giovanni Chierchia, Mireille El Gheche
2020	J	`jnl`	FiGLearn: Filter and Graph Learning using Optimal Transport. CoRR Matthias Minder, Zahra Farsijani, Dhruti Shah, Mireille El Gheche, Pascal Frossard
2020	Misc	`conf`	Forward-Backward Splitting for Optimal Transport Based Problems. ICASSP Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard
2020	A*	`conf`	Joint Graph-Based Depth Refinement and Normal Estimation. CVPR Mattia Rossi, Mireille El Gheche, Andreas Kuhn, Pascal Frossard
2020	J	`jnl`	Multilayer Clustered Graph Learning. CoRR Mireille El Gheche, Pascal Frossard
2020	J	`jnl`	OrthoNet: Multilayer Network Data Clustering. IEEE Trans. Signal Inf. Process. over Networks Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
2020	J	`jnl`	Wasserstein-based Graph Alignment. CoRR Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard
2019	J	`jnl`	CDOT: Continuous Domain Adaptation using Optimal Transport. CoRR Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard
2019	A*	`conf`	GOT: An Optimal Transport framework for Graph comparison. NeurIPS Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
2019	J	`jnl`	GOT: An Optimal Transport framework for Graph comparison. CoRR Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
2019	J	`jnl`	Graph heat mixture model learning. CoRR Hermina Petric Maretic, Mireille El Gheche, Pascal Frossard
2019	J	`jnl`	Joint Graph-based Depth Refinement and Normal Estimation. CoRR Mattia Rossi, Mireille El Gheche, Andreas Kuhn, Pascal Frossard
2019	Misc	`conf`	Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint. ICASSP Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
2018	B	`conf`	A Nonsmooth Graph-Based Approach to Light Field Super-Resolution. ICIP Mattia Rossi, Mireille El Gheche, Pascal Frossard
2018	Misc	`conf`	Graph Heat Mixture Model Learning. ACSSC Hermina Petric Maretic, Mireille El Gheche, Pascal Frossard
2018	J	`jnl`	Multilayer Graph Signal Clustering. CoRR Mireille El Gheche, Pascal Frossard
2018	J	`jnl`	Proximity Operators of Discrete Information Divergences. IEEE Trans. Inf. Theory Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet
2018	J	`jnl`	Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint. CoRR Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
2017	J	`jnl`	Multitemporal SAR Image Despeckling Based on Block-Matching and Collaborative Filtering. IEEE Trans. Geosci. Remote. Sens. Giovanni Chierchia, Mireille El Gheche, Giuseppe Scarpa, Luisa Verdoliva
2017	J	`jnl`	Texture Reconstruction Guided by a High-Resolution Patch. IEEE Trans. Image Process. Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle
2016	J	`jnl`	Image Zoom Completion. IEEE Trans. Image Process. Moncef Hidane, Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle
2016	J	`jnl`	Proximity Operators of Discrete Information Divergences. CoRR Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet
2016	—	`conf`	Texture synthesis guided by a low-resolution image. IVMSP Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, Ronan Fablet
2013	J	`jnl`	A Parallel Proximal Splitting Method for Disparity Estimation from Multicomponent Images Under Illumination Variation. J. Math. Imaging Vis. Caroline Chaux, Mireille El Gheche, Joumana Farah, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2013	Misc	`conf`	A proximal approach for optimization problems involving kullback divergences. ICASSP Mireille El Gheche, Jean-Christophe Pesquet, Joumana Farah
2013	—	`conf`	A proximal approach for signal recovery based on information measures. EUSIPCO Mireille El Gheche, Anna Jezierska, Jean-Christophe Pesquet, Joumana Farah
2011	—	`conf`	Disparity map estimation under convex constraints using proximal algorithms. SiPS Mireille El Gheche, Jean-Christophe Pesquet, Joumana Farah, Caroline Chaux, Béatrice Pesquet-Popescu
2011	Misc	`conf`	Proximal splitting methods for depth estimation. ICASSP Mireille El Gheche, Jean-Christophe Pesquet, Joumana Farah, Mounir Kaaniche, Béatrice Pesquet-Popescu