Embodied computer vision
Embodied computer vision

Our research is concerned with representational issues in visual object recognition and scene understanding. Our objective is to develop geometric, physical, and statistical models for all components of the image interpretation process, including illumination, materials, objects, scenes, and human activities. These models will be used to tackle fundamental scientific challenges such as three-dimensional (3D) object and scene modeling, analysis, and retrieval; human activity capture and classification; and category-level object and scene recognition. They will also support applications with high scientific, societal, and/or economic impact in domains such as quantitative image analysis in domains such as archaeology and cultural heritage conservation; film post-production and special effects; and video annotation, interpretation, and retrieval.

Centre(s) inria
Inria Paris Centre
In partnership with
Ecole normale supérieure de Paris,CNRS


Team leader

Julien Guieu

Team assistant