Image, Modeling, Analysis, GEometry, Synthesis [IMAGES]

The activity of the IMAGES team covers many aspects of the processing, analysis and synthesis of digital images, volumes, and videos. A particularity of the team’s work is controlling the entire image chain, from modeling the acquisition system to specific knowledge of the application domains. Another common point of much of the research carried out by the team is the use of mathematical modeling, with a particular focus on stochastic modeling, optimization and more recently machine learning. Indeed, over the last years, the team’s activity has been marked by a strong shift toward deep learning approaches, with a particular interest in developing methods capable of handling scarce or corrupted data, designing methods for specific imaging modalities, or understanding and structuring generative models.