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Research
My main research interest is the study of textures, from the theoretical analysis of stochastic image models to the development of new texture synthesis algorithms.
Hence my research works are at the intersection of image processing, applied probability and computer graphics, which gives me the enriching opportunity to work with researchers from various fields.
More recently I enlarged my research interests to deep learning methods for image modeling and imaging inverse problems.
For more details, see my publications page.
News
- (Sept. 2022, Rouen) I gave a "Master class" of 2x1.5h entitled "Champs aléatoires pour la synthèse de textures" at the Journées communes GéoSto MIA 2022. Slides are here.
- (August 2022, Strasbourg) I gave a course (2x1.5h + 2h of practice session) at the Summer school Deep learning and applications, Université de Strasbourg (29 août 2022 à 2 septembre 2022 à l'IRMA): Generative models for images.
- (June 2022, Orléans) I co-organized "les journées de l'ANR Mistic" with Hermine Biermé in Orléans (Hôtel Dupanloup). Details here.
- (June 2022) I have just been nominated Junior member on an innovation chair at Institut Univesitaire de France for 2022-2027.
- (June 2022, Czech Republic) I gave an invited plenary talk at the 21st Workshop on Stochastic Geometry, Stereology, and Image Analysis, Nesuchyně, Czech Republic.
PhD opportunity in Orléans starting November 2022
We have a PhD funding starting Fall 2022 on deep learning for medical image analysis as part of the MIMOSA ANR project. Foreign applicants are more than welcome and speaking French is not mandatory. More details here (.pdf). Feel free to reach me if interested.Current and former students (PhD, Post-Docs, engineers)
I have the chance to advise or have advised the following students:
Current students (PhD, Post-Docs, engineers)
- Simon Mignon (PhD student, 2021-2024, at University of Orléans) co-advised with Moncef Hidane, Cécile Louchet and Julien Mille.
- Titouan Simonnet (PhD student, 2021-2024, at BRGM and University of Orléans) co-advised with Rachid Harba, Diarra Fall, Sylvain Grangeon and Francis Claret.
- Matthéo Saldanha (PhD student, 2021-2024, at CEA/DAM Ile-de-France and University of Orléans) co-advised with Isabelle Abraham and Cécile Haberstich.
- Etienne Brame (CIFRE PhD student, 2022-2025 at Cornis SAS (a company of SITES group) and University of Orléans) co-advised with Baptiste Coulange and Cécile Louchet.
Former students (PhD, Post-Docs, engineers)
- Lara Raad (Post-Doc, 2020-2021, at Telecom Paris) co-advised with Yann Gousseau, now assistant professor at ESIEE Paris.
- Valentin De Bortoli (Ph.D., 2017-2020 at ENS Paris Saclay), co-advised with Agnès Desolneux and Arthur Leclaire, now postdoctoral researcher (CoSInES projet) at Oxford university (department of Statistics) under the supervision of Arnaud Doucet.
- Claire Launay (Ph.D., 2016-2020, at Université Paris Descartes), co-advised with Agnès Desolneux, now postdoctoral researcher at Coen-Cagli Laboratory for Computational Neuroscience at Albert Einstein College of Medicine, New York, USA.
- Jorge Gutierrez (Ph.D., 2016-2020, at Polytechnique Montréal), co-advised with Thomas Hurtut and Julien Rabin, now postdoctoral researcher in Saint Louis, USA.
- Noura Faraj (Research Engineer, 2016-2017, at Université Paris Descartes), co-advised with Julie Delon, now assistant professor at Université de Montpellier.
- Alasdair Newson (Post-Doc, 2015-2016, at Université Paris Descartes), co-advised with Julie Delon, now assistant professor at Télécom ParisTech.
- Arthur Leclaire (PhD, 2011-2015, at Université Paris Descartes), (unofficially) co-advised with Lionel Moisan, now assistant professor at Université de Bordeaux.