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pro vyhledávání: '"Nikos Athanasiou"'
Autor:
Abhinanda R. Punnakkal, Nikos Athanasiou, Alejandra Quiros-Ramirez, Arjun Chandrasekaran, Michael J. Black
Publikováno v:
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021)
CVPR
CVPR
Understanding the semantics of human movement -- the what, how and why of the movement -- is an important problem that requires datasets of human actions with semantic labels. Existing datasets take one of two approaches. Large-scale video datasets c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86fac3c169b7a0630c14110151206da9
https://hdl.handle.net/21.11116/0000-000B-98B7-B
https://hdl.handle.net/21.11116/0000-000B-98B7-B
Publikováno v:
NAACL-HLT (1)
In traditional Distributional Semantic Models (DSMs) the multiple senses of a polysemous word are conflated into a single vector space representation. In this work, we propose a DSM that learns multiple distributional representations of a word based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ed368401801439a5eed16e1b9931e75
https://doi.org/10.18653/v1/n19-1110
https://doi.org/10.18653/v1/n19-1110
Publikováno v:
CVPR
Human motion is fundamental to understanding behavior. Despite progress on single-image 3D pose and shape estimation, existing video-based state-of-the-art methods fail to produce accurate and natural motion sequences due to a lack of ground-truth 3D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0760c5eee4dcddabe2dd5eb46ad3e967