| dc.contributor.author | Yoon, Youngwoo | |
| dc.contributor.author | Wolfert, Pieter | |
| dc.contributor.author | Kucherenko, Taras | |
| dc.contributor.author | Viegas, Carla | |
| dc.contributor.author | Nikolov, Teodor | |
| dc.contributor.author | Tsakov, Mihail | |
| dc.contributor.author | Henter, Gustav Eje | |
| dc.date.accessioned | 2023-11-09T11:07:17Z | |
| dc.date.available | 2023-10-29T17:18:31Z | |
| dc.date.available | 2023-11-06T10:51:53Z | |
| dc.date.available | 2023-11-09T11:07:17Z | |
| dc.date.issued | 2022 | |
| dc.identifier.issn | na | |
| dc.identifier.other | WOS:001074464500087 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/43014.3 | |
| dc.source | WOS | |
| dc.title | The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation | |
| dc.type | Proceedings paper | |
| dc.contributor.imecauthor | Wolfert, Pieter | |
| dc.contributor.orcidimec | Wolfert, Pieter::0000-0002-7420-7181 | |
| dc.date.embargo | 9999-12-31 | |
| dc.identifier.doi | 10.1145/3536221.3558058 | |
| dc.identifier.eisbn | 978-1-4503-9390-4 | |
| dc.source.numberofpages | 12 | |
| dc.source.peerreview | yes | |
| dc.source.beginpage | 736 | |
| dc.source.endpage | 747 | |
| dc.source.conference | 24th ACM International Conference on Multimodal Interaction (ICMI) | |
| dc.source.conferencedate | NOV 07-11, 2022 | |
| dc.source.conferencelocation | Bangalore | |
| dc.source.journal | na | |
| imec.availability | Published - imec | |
| dc.description.wosFundingText | This 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). | |