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.
Organisations
People |
ORCID iD |
John Collomosse (Primary Supervisor) | |
Fabio Capraro (Student) |
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
EP/R513350/1 | 30/09/2018 | 29/09/2023 | |||
2315114 | Studentship | EP/R513350/1 | 01/01/2020 | 29/06/2021 | Fabio Capraro |