Computer Vision for Perception, Representation and Learning


Computer vision and machine learning have largely contributed to understanding data and scenes and have achieved impressive results in detection and recognition of scenes and objects, mostly mature for industrial transfer. The research field is however still limited when it comes to modelling and learning from videos, to reasoning on objects, parts and scenes and to developing universal representations and memory which fit multiple tasks. I would present my research and interests in the field.

11/03/2019

Time: 9:30
Duration: about 20 minutes
Venue: Dipartimento di Informatica, Via Salaria 113, Third Floor, Seminari Lecture Room
Speaker: Fabio Galasso

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