dc.contributor.author | Singh, Akash | |
dc.contributor.author | de Schepper, Tom | |
dc.contributor.author | Mets, Kevin | |
dc.contributor.author | Hellinckx, Peter | |
dc.contributor.author | Oramas Mogrovejo, Jose Antonio | |
dc.contributor.author | Latre, Steven | |
dc.date.accessioned | 2023-01-26T14:27:20Z | |
dc.date.available | 2022-04-24T02:09:54Z | |
dc.date.available | 2023-01-26T14:27:20Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 2184-4321 | |
dc.identifier.other | WOS:000777505000046 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/39662.2 | |
dc.source | WOS | |
dc.title | Deep Set Conditioned Latent Representations for Action Recognition | |
dc.type | Proceedings paper | |
dc.contributor.imecauthor | Singh, Akash | |
dc.contributor.imecauthor | de Schepper, Tom | |
dc.contributor.imecauthor | Mets, Kevin | |
dc.contributor.imecauthor | Hellinckx, Peter | |
dc.contributor.imecauthor | Oramas Mogrovejo, Jose Antonio | |
dc.contributor.imecauthor | Latre, Steven | |
dc.contributor.orcidimec | De Schepper, Tom::0000-0002-2969-3133 | |
dc.contributor.orcidimec | Mets, Kevin::0000-0002-4812-4841 | |
dc.contributor.orcidimec | Hellinckx, Peter::0000-0001-8029-4720 | |
dc.contributor.orcidimec | Latre, Steven::0000-0003-0351-1714 | |
dc.contributor.orcidimec | Oramas Mogrovejo, Jose Antonio::0000-0002-8607-5067 | |
dc.date.embargo | 2022-02-05 | |
dc.identifier.doi | 10.5220/0010838400003124 | |
dc.identifier.eisbn | 978-989-758-555-5 | |
dc.source.numberofpages | 11 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 456 | |
dc.source.endpage | 466 | |
dc.source.conference | 17th 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.conferencedate | FEB 06-08, 2022 | |
dc.source.conferencelocation | Virtual | |
dc.source.journal | na | |
imec.availability | Published - open access | |
dc.description.wosFundingText | This research received funding from the Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" programme. | |