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Willow| old_uid | 4922 |
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| title | Willow |
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| start_date | 2008/05/26 |
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| schedule | 11h-12h30 |
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| online | no |
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| summary | Willow is a joint effort between Ecole Normale Supérieure et INRIA, focussing on the representational issues involved in visual scene understanding. Concretely, 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 science and engineering ; film post-production and special effects ; and video annotation, interpretation, and retrieval. Machine learning is a key part of our effort, with a balance of practical work in support of computer vision application, methodological research aimed at developing effective algorithms and architectures, and foundational work in learning theory. I will present in this talk an overview of Willow’s research activities and present several recent results in 3D photography and markerless motion capture, category-level object recognition, video interpretation, and machine learning. I will conclude with a brief discussion of our ongoing and new projects and partnerships. |
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| responsibles | Information non disponible |
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