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Computer Vision

Faculty: Francesca Odone

Description: We explore the multifaceted world of image and scene understanding and reconstruction combining computer vision and statistical learning ingredients. Computer vision methods are used to extract information from the visual signals, while we resort to statistical learning to model variability, and to gain robustness and flexibility.

Within this framework we are pursuing research on:

  

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Selected Publications