Unsupervised representation learning for visual aesthetics

Lead Research Organisation: University of Surrey
Department Name: Vision Speech and Signal Proc CVSSP

Abstract

Unsupervised representation learning for visual aesthetics This thesis will develop new unsupervised and self supervised methods to learn a feature embedding for creative content (digital artwork) with a focus on deep learning approaches.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R513350/1 01/10/2018 30/09/2023
2315114 Studentship EP/R513350/1 01/01/2020 30/09/2023 Fabio Capraro