Publication:

Deep Set Conditioned Latent Representations for Action Recognition

 
dc.contributor.authorSingh, Akash
dc.contributor.authorde Schepper, Tom
dc.contributor.authorMets, Kevin
dc.contributor.authorHellinckx, Peter
dc.contributor.authorOramas Mogrovejo, Jose Antonio
dc.contributor.authorLatre, Steven
dc.contributor.imecauthorSingh, Akash
dc.contributor.imecauthorde Schepper, Tom
dc.contributor.imecauthorMets, Kevin
dc.contributor.imecauthorHellinckx, Peter
dc.contributor.imecauthorOramas Mogrovejo, Jose Antonio
dc.contributor.imecauthorLatre, Steven
dc.contributor.orcidimecDe Schepper, Tom::0000-0002-2969-3133
dc.contributor.orcidimecMets, Kevin::0000-0002-4812-4841
dc.contributor.orcidimecHellinckx, Peter::0000-0001-8029-4720
dc.contributor.orcidimecLatre, Steven::0000-0003-0351-1714
dc.contributor.orcidimecOramas Mogrovejo, Jose Antonio::0000-0002-8607-5067
dc.date.accessioned2023-01-26T14:27:20Z
dc.date.available2022-04-24T02:09:54Z
dc.date.available2023-01-26T14:27:20Z
dc.date.embargo2022-02-05
dc.date.issued2022
dc.description.wosFundingTextThis research received funding from the Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" programme.
dc.identifier.doi10.5220/0010838400003124
dc.identifier.eisbn978-989-758-555-5
dc.identifier.issn2184-4321
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39662
dc.publisherSCITEPRESS
dc.source.beginpage456
dc.source.conference17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) / 17th International Conference on Computer Vision Theory and Applications (VISAPP)
dc.source.conferencedateFEB 06-08, 2022
dc.source.conferencelocationVirtual
dc.source.endpage466
dc.source.journalna
dc.source.numberofpages11
dc.subject.keywordsKNOWLEDGE
dc.title

Deep Set Conditioned Latent Representations for Action Recognition

dc.typeProceedings paper
dspace.entity.typePublication
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