DEEP REPRESENTATION LEARNING FOR VIDEO FOUNDATION MODELS

Ph.D

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Bibliographic Details
Main Author: HUANG ZIYUAN
Other Authors: MECHANICAL ENGINEERING
Format: Theses and Dissertations
Language:English
Published: 2023
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/246269
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Institution: National University of Singapore
Language: English
id sg-nus-scholar.10635-246269
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spelling sg-nus-scholar.10635-2462692024-10-25T13:12:15Z DEEP REPRESENTATION LEARNING FOR VIDEO FOUNDATION MODELS HUANG ZIYUAN MECHANICAL ENGINEERING Marcelo H Ang Foundation Models, Representation Learning, Video Understanding, Transformers, Contrastive Learning, Object Tracking Ph.D DOCTOR OF PHILOSOPHY (CDE-ENG) 2023-11-30T18:00:46Z 2023-11-30T18:00:46Z 2023-08-03 Thesis HUANG ZIYUAN (2023-08-03). DEEP REPRESENTATION LEARNING FOR VIDEO FOUNDATION MODELS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/246269 0000-0002-4544-0427 en
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Foundation Models, Representation Learning, Video Understanding, Transformers, Contrastive Learning, Object Tracking
spellingShingle Foundation Models, Representation Learning, Video Understanding, Transformers, Contrastive Learning, Object Tracking
HUANG ZIYUAN
DEEP REPRESENTATION LEARNING FOR VIDEO FOUNDATION MODELS
description Ph.D
author2 MECHANICAL ENGINEERING
author_facet MECHANICAL ENGINEERING
HUANG ZIYUAN
format Theses and Dissertations
author HUANG ZIYUAN
author_sort HUANG ZIYUAN
title DEEP REPRESENTATION LEARNING FOR VIDEO FOUNDATION MODELS
title_short DEEP REPRESENTATION LEARNING FOR VIDEO FOUNDATION MODELS
title_full DEEP REPRESENTATION LEARNING FOR VIDEO FOUNDATION MODELS
title_fullStr DEEP REPRESENTATION LEARNING FOR VIDEO FOUNDATION MODELS
title_full_unstemmed DEEP REPRESENTATION LEARNING FOR VIDEO FOUNDATION MODELS
title_sort deep representation learning for video foundation models
publishDate 2023
url https://scholarbank.nus.edu.sg/handle/10635/246269
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