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Article: DeepPhase: periodic autoencoders for learning motion phase manifolds

TitleDeepPhase: periodic autoencoders for learning motion phase manifolds
Authors
Starke, SMason, MKomura, T
Issue Date2022
Citation
ACM Transactions on Graphics, 2022, v. 41, p. 1-13 How to Cite?
DOI: http://dx.doi.org/10.1145/3528223.3530178
Persistent Identifierhttp://hdl.handle.net/10722/320649
ISI Accession Number ID
WOS:000830989200125

 

DC FieldValueLanguage
dc.contributor.authorStarke, S-
dc.contributor.authorMason, M-
dc.contributor.authorKomura, T-
dc.date.accessioned2022-10-21T07:57:17Z-
dc.date.available2022-10-21T07:57:17Z-
dc.date.issued2022-
dc.identifier.citationACM Transactions on Graphics, 2022, v. 41, p. 1-13-
dc.identifier.urihttp://hdl.handle.net/10722/320649-
dc.languageeng-
dc.relation.ispartofACM Transactions on Graphics-
dc.titleDeepPhase: periodic autoencoders for learning motion phase manifolds-
dc.typeArticle-
dc.identifier.emailKomura, T: taku@cs.hku.hk-
dc.identifier.authorityKomura, T=rp02741-
dc.identifier.doi10.1145/3528223.3530178-
dc.identifier.hkuros340216-
dc.identifier.volume41-
dc.identifier.spage1-
dc.identifier.epage13-
dc.identifier.isiWOS:000830989200125-

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