CORDIS Project
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This project focuses on enhancing computer vision by jointly estimating multiple attributes of visual scenes, rather than treating them in isolation. It aims to create a versatile toolbox for modeling and inferring complex visual representations, ultimately improving our understanding of images.
One of the principal difficulties in processing, analyzing, and interpreting digital images is that many attributes of visual scenes relate in complex manners.
Despite that, the vast majority of today's top-performing computer vision approaches estimate a particular attribute (e.g., motion, scene segmentation, restored image, object presence, etc.) in isolation; other pertinent attributes are either ignored or crudely pre-computed by ignoring any mutual relation.
But since estimating a singular…
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