Research interests
My research activities mainly concern the study of problems involving image data
Methodologies: optimal transportation, variational methods, machine learning, data assimilation
Applications: computer vision, computational photography, oceanography, medical imaging
Resume
I received the M. Eng degree in applied mathematics from the National Institute of Applied Sciences, Rouen, France, in 2004 and the M. Sc in Analysis from Rouen University in 2004. I obtained the Ph.D. degree in applied mathematics from the University of Rennes, France, in 2007, under the supervision of Étienne Mémin, with long stays at the Laboratorio de Fluiodinámica de Buenos Aires, Argentina in 2006 and 2007. From 2008 to 2010, I had a postdoctoral position in Barcelona Media, Spain, under the supervision of Vicent Caselles. I joined the CNRS (section 07) as a full researcher in 2010 in the Inria MOISE team (now AIRSEA team) at the Laboratoire Jean Kuntzmann, Grenoble, France. Since 2013, I work in the Institut de Mathématiques de Bordeaux in the IOP team. I realized a long stay in the Cambridge Image Analysis group at the Department of Applied Mathematics and Theoretical Physics of the University of Cambridge, UK, in 2018-2019.
PhD supervision
- Marien Renaud (2023-, Univ. Bordeaux, with A. Leclaire: Plug-and-Play methods for Radar Image Restoration
- Samuel Hurault (2020 - 2023, Univ. Bordeaux, with A. Leclaire: Convergent plug-and-play methods for image inverse problems with explicit and nonconvex deep regularization
- Jean Prost (2020 - 2023, Univ. Bordeaux, with A. Almansa): Image restoration with deep generative models
- Warren Jouanneau (2020 - 2023, Univ. Bordeaux, Lectra, with A. Bugeau, M. Palyart and L. Vézard): Segmentation and weakly-supervized classification of fashion images
- Elsa Cazelles (2015 - 2018, Univ. Bordeaux, with J. Bigot): Statistical aspects of Wasserstein barycenters
- Rémi Giraud (2014 - 2017, Univ. Bordeaux, with V.-T. Ta): Superpixel and Non-Local methods
- Romain Hug (2012 - 2016, Univ. Grenoble Alpes, with E. Maitre): Numerical Analysis of Dynamical Optimal transport
- Romain Yildizoglu (2012 - 2014, Univ. Bordeaux, with J.-F. Aujol and C. Dossal): Convexification methods for segmentation
PostDocs
- Antoine Houdard (2019 - 2021, Univ. Bordeaux, with J. Rabin and A. Leclaire): Machine Learning and Optimal Transport
- Arnaud Dessein (2015 - 2016, Univ. Bordeaux, with J.-L. Rouas): Optimal Transport for Audio processing
- Alexandros Makris (2011 - 2012, Univ. Joseph Fourier): Sequential Image Assimilation
Some responsabilities
- Deputy director of the Institut de Mathématiques de Bordeaux, in charge of societal challenges (since 2023)
- Direction team of the Research Network MAIAGES - MAthématiques de l’Imagerie, Apprentissage et GEométrie Stochastique (2024-2028)
- Direction, with Julie Delon, of the Research Network MIA - Mathématiques de l’Imagerie et de ses Applications (2022-2023)
- Member of the French National Research Agency committee for Artificial Intelligence (2020-2022)