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dc.contributor.authorBillast, Mattias
dc.contributor.authorDe Schepper, Tom
dc.contributor.authorMets, Kevin
dc.date.accessioned2025-01-20T09:51:23Z
dc.date.available2025-01-20T09:51:23Z
dc.date.issued2024
dc.identifier.issn2184-4321
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45093
dc.titleUnsupervised domain adaptation for human pose action recognition
dc.typeProceedings paper
dc.contributor.imecauthorBillast, Mattias
dc.contributor.imecauthorDe Schepper, Tom
dc.contributor.imecauthorMets, Kevin
dc.contributor.orcidimecBillast, Mattias::0000-0002-1080-6847
dc.contributor.orcidimecDe Schepper, Tom::0000-0002-2969-3133
dc.contributor.orcidimecMets, Kevin::0000-0002-4812-4841
dc.date.embargo2024-12-31
dc.identifier.doi10.5220/0012573400003660
dc.identifier.eisbn978-989-758-679-8
dc.source.numberofpages8
dc.source.peerreviewyes
dc.source.beginpage837 (Volume 2)
dc.source.endpage844 (Volume 2)
dc.source.conferenceVISIGRAPP 2024 : Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
dc.source.conferencedateFebruary 27-29, 2024
dc.source.conferencelocationRome
dc.source.journalN/A
imec.availabilityPublished - open access
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