Preprints (3)

  • P3 M. El Gheche and P. Frossard, Multilayer Clustered Graph Learning, 2020.
  • P2 H. Petric Maretic, M. El Gheche, G. Chierchia, P. Frossard, fGOT: filter Graph distances using Optimal Transport, 2020.

  • P1 H. Petric Maretic, M. El Gheche, M. Minder, G. Chierchia, P. Frossard, Wasserstein-based Graph Alignment, 2020.

Journal papers (7)

  • J7 M. El Gheche, G. Chierchia, P. Frossard, Orthonet: Multilayer network data clustering, IEEE Transactions on Signal and Information Processing over Networks, Vol. 6, Pages 13-23, Dec. 2020.
  • J6 M. Mounirou, M. El Gheche, M. Donias, S. Guillon, Y. Berthoumieu, Robust and Adaptive Approaches for Relative Geologic Time Estimation, Journal of Applied Geophysics, Vol. 159, Pages 157-172, Dec. 2018.
  • J5 M. El Gheche, G. Chierchia, J.-C. Pesquet, Proximity Operators of Discrete Information Divergences, IEEE Transactions on Information Theory,
    Vol. 64, No. 2, 1092–1104, Feb. 2018.
  • J4 G. Chierchia, M. El Gheche, G. Scarpa and L. Verdoliva, Multitemporal SAR Image Despeckling based on Block-Matching and Collaborative Filtering, IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 10, Pages 1-14, Jun. 2017.
  • J3 M. El Gheche, J.-F. Aujol, Y. Berthoumieu, C.-A. Deledalle, Texture Reconstruction Guided by the Histogram of a High-Resolution Patch, IEEE Transactions on Image Processing, Vol. 26, No. 2, Pages 549-560, Feb. 2017.
  • J2 M. Hidane, M. El Gheche, J.-F. Aujol, Y. Berthoumieu, C.-A. Deledalle, Image Zoom Completion, IEEE Transactions on Image Processing,
    Vol. 25, No. 8, Pages 3505-3517, Aug. 2016.
  • J1 C. Chaux, M. El Gheche, J. Farah, J.-C. Pesquet, and B. Pesquet-Popescu, A Parallel Proximal Splitting Method for Disparity Estimation from Multicomponent Images under Illumination Variation, Journal of Mathematical Imaging and Vision, vol. 47, No. 3, Pages 167-178, Nov. 2013.

Conference papers (15)

  • C15 M. Minder, Z. Farsijani, D. Shah, M. El Gheche, P. Frossard, FiGLearn: Filter and Graph Learning using Optimal Transport, ICASSP, Toronto, Ontario, Canada, 6-11 Jun. 2021.
  • C14 G. Chierchia and M. El Gheche, YAPA: Accelerated Proximal Algorithm for Convex Composite Problems, ICASSP, Toronto, Ontario, Canada, 6-11 Jun. 2021.

  • C13 M. Rossi, M. El Gheche, A. Kuhn, P. Frossard, Joint Graph-based Depth Refinement and Normal Estimation, CVPR, Seattle, Washington, United States, 13-19 Jun. 2020.
  • C12 G. Ortiz Jimenez, M. El Gheche, E. Simou, H. Petric Maretic, P. Frossard, Forward-Backward Splitting for Optimal Transport based Problems,
    ICASSP, Barcelona, Spain, 4-8 May 2020.
  • C11 H. Petric Maretic,, M. El Gheche, G. Chierchia, P. Frossard, GOT: An Optimal Transport framework for Graph comparison, NeurIPS, Vancouver, Canada, 8-14 Dec. 2019.
  • C10 B. Pasdeloup, H. Petric Maretic,, M. El Gheche, P. Frossard, Une approche basée incertitude pour transporter un signal d’un graphe à un autre, Gretsi, Lille, France, 26-29 Aug. 2019.
  • C9 M. El Gheche, G. Chierchia, P. Frossard, Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint, in ICASSP, Pages 3567-3571, Brighton, UK, 12-17 May 2019.
  • C8 H. Petric Maretic, M. El Gheche, P. Frossard, Graph Heat Mixture Model Learning, in Asilomar, Pacific Grove, CA, USA, 3-6 Nov. 2019.
  • C7 M. Rossi, M. El Gheche, P. Frossard, A Non-smooth Graph-Based Approach to Light Field Super-resolution, in ICIP, Pages 2590-2594, Athens, Greece, 7-10 Oct. 2018.
  • C6 M. Mounirou, M. El Gheche, M. Donias, S. Guillon, Y. Berthoumieu, Calcul automatique rapide de pseudo-âge géologique sur des images sismiques, Gretsi, Juan-Les-Pins, France, 5-8 Sep. 2017.
  • C5 M. El Gheche, A. Jezierska, J.-C. Pesquet and J. Farah, A Proximal Approach for Signal Recovery Based on Information Measures, in EUSIPCO, Pages 1-5, Marrakech, Maroc, 9-13 Sep. 2013.
  • C4 M. El Gheche, J.-C. Pesquet and J. Farah, A Proximal Approach for Optimization Problems involving Kullback Divergences, in ICASSP, Pages 5984-5988, Vancouver, Canada, 26-31 May 2013.
  • C3 M. El Gheche, C. Chaux, J.-C. Pesquet, J. Farah and B. Pesquet- Popescu, Disparity Map Estimation under Convex Constraints using Proximal Algorithms, in SIPS, Pages 293-298, Beirut, Lebanon, 4-7 Oct. 2011.
  • C2 M. El Gheche, J.-C. Pesquet, C. Chaux, J. Farah et B. Pesquet- Popescu, Méthodes Proximales pour l’estimation du champ de disparité à partir d’une paire d’images stéréoscopiques en présence de variations d’illumination, GRETSI, Bordeaux, France, 5-8 Sep. 2011.
  • C1 M. El Gheche, J.-C. Pesquet, J. Farah, M. Kaaniche and B. Pesquet- Popescu, Proximal Splitting Methods for Depth Estimation, in ICASSP, Pages 853-856, Prague, Czech Republic, 22-27 May 2011.

Workshops (3)

  • W3 M. El Gheche and P. Frossard, Multilayer Graph Clustering with Optimized Node Embedding, DSLW workshop, Toronto, Canada, 5-6 Jun. 2021.

  • W2 G. Ortiz Jimenez, M. El Gheche, E. Simou, H. Petric Maretic, P. Frossard, CDOT: Continuous Domain Adaptation using Optimal Transport, NeurIPS OTML workshop, Vancouver, Canada, 8-14 Dec. 2019.
  • W1 M. El Gheche, J.-F. Aujol, Y. Berthoumieu, C.-A. Deledalle, R. Fablet, Texture Synthesis Guided by a Low-Resolution Image, in IVMSP Workshop, Bordeaux, France, 11-12 Jul. 2016.

PhD

  • Proximal methods for convex minimization of Phi-divergences. Application to computer vision.