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dc.contributor.authorYoon, Youngwoo
dc.contributor.authorWolfert, Pieter
dc.contributor.authorKucherenko, Taras
dc.contributor.authorViegas, Carla
dc.contributor.authorNikolov, Teodor
dc.contributor.authorTsakov, Mihail
dc.contributor.authorHenter, Gustav Eje
dc.date.accessioned2023-11-09T11:07:17Z
dc.date.available2023-10-29T17:18:31Z
dc.date.available2023-11-06T10:51:53Z
dc.date.available2023-11-09T11:07:17Z
dc.date.issued2022
dc.identifier.issnna
dc.identifier.otherWOS:001074464500087
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43014.3
dc.sourceWOS
dc.titleThe GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation
dc.typeProceedings paper
dc.contributor.imecauthorWolfert, Pieter
dc.contributor.orcidimecWolfert, Pieter::0000-0002-7420-7181
dc.date.embargo9999-12-31
dc.identifier.doi10.1145/3536221.3558058
dc.identifier.eisbn978-1-4503-9390-4
dc.source.numberofpages12
dc.source.peerreviewyes
dc.source.beginpage736
dc.source.endpage747
dc.source.conference24th ACM International Conference on Multimodal Interaction (ICMI)
dc.source.conferencedateNOV 07-11, 2022
dc.source.conferencelocationBangalore
dc.source.journalna
imec.availabilityPublished - imec
dc.description.wosFundingTextThis research was partially supported by IITP grant no. 2017-0-00162 (Development of Human-care Robot Technology for Aging Society) funded by the Korean government (MSIT), by the Flemish Research Foundation (FWO) grant no. 1S95020N, by the Portuguese Foundation for Science and Technology grant no. SFRH/BD/127842/2016, and by the Knut and Alice Wallenberg Foundation, both through Wallenberg Research Arena (WARA) Media and Language - with in-kind contribution from the Electronic Arts (EA) R&D department, SEED - and through the Wallenberg AI, Autonomous Systems and Software Program (WASP).


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