I am a research scientist who designs data-driven techniques for visual understanding at ONERA/DTIS, the French aerospace research centre.

My work is at the crossroads of statistics, machine learning, image processing and computer vision. I am interested in tackling practical problems that arise in multimedia, remote sensing and robotics.

Besides that, I teach Machine Learning and Computer Vision at Institut d’Optique Graduate School (Univ. Paris Saclay) and ENSTA ParisTech (Institut Polytechnique de Paris). I also serve as Chair of the IEEE GRSS Image Analysis and Data Fusion Technical Committee.

News

• [May/June 2019] Javiera Castillo-Navarro will be at JURSE 2019 to present our paper “What data are needed for supervised semantic segmentation? (preprint) and Rodrigo Caye Daudt will be at CVPR/Earth Vision 2019 to present our paper on Weakly-supervised change detection (preprint on arxiv).
• [May 2019] I will give a tutorial on Deep Learning for Remote Sensing at JURSE 2019 with Loïc Landrieu. It will cover 2D and 3D, and include practical information to deploy deep learning approaches to remote sensing data.
• [April 2019] Antoine Manier joined the lab as PhD student, to work on 3D semantic understanding for railway environment. He is co-supervised with Alexandre Boulch. This PhD is funded by SNCF Réseau as part of our common research project Drosofile.
• [March 2019] Rémy Leroy joined the lab as MSc. student intern, to work on 3D point-cloud prediction. He is co-supervised with Marcela Carvalho and Pauline Trouvé-Peloux.