About the team

The Imagine team at LIRIS specializes in computer vision, learning and pattern recognition. It brings together 23 permanent members (one CNRS researcher, 12 Associate Professors, 9 Professors and one CNRS senior researcher) from the CNRS, École Centrale de Lyon, INSA Lyon, Université Claude Bernard Lyon 1 and Université Lumière Lyon 2. In 2024, it also counted among its members 2 Assistant Professors, 33 doctoral students and 6 post-doctoral fellows.

The various research activities carried out in the Imagine team share the same general objectives aimed at understanding multi-source and multi-sensor images, thus integrating a very wide variety of content around images of human people, objects and scenes in 2D and 3D (natural or urban scenes, aerial and satellite images, faces, etc.), image sequences and video streams, as well as digitized documents (maps, written and printed texts, scores and symbols, etc.). The notion of visual object, in the broad sense, thus constitutes a common denominator of our research.

The activities of the Imagine team are divided into different themes related to the implementation of indexing, modeling, classification and content recognition methods (objects, actions, concepts), with particular attention paid to the development of machine learning methods for computer vision.

The research carried out in the Imagine team aims to build bridges to cross the semantic gap between, on the one hand, the low-level information present in the raw data (sampled data from the signal), the possible multi-source data from other modalities or sensors (particularly in the case of embedded applications) and the higher semantic level information based on the modeling, classification and identification of content.

The research activity of the Imagine team falls under 5 major sub-themes that constitute the core of its applications.