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Conference Paper: Multi-Person Absolute 3D Pose and Shape Estimation from Video

TitleMulti-Person Absolute 3D Pose and Shape Estimation from Video
Authors
Issue Date2021
Citation
International Conference on Intelligent Robotics and Applications, p. 189-200 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/318285
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, K-
dc.contributor.authorLi, Y-
dc.contributor.authorGuan, Y-
dc.contributor.authorXi, N-
dc.date.accessioned2022-10-07T10:36:03Z-
dc.date.available2022-10-07T10:36:03Z-
dc.date.issued2021-
dc.identifier.citationInternational Conference on Intelligent Robotics and Applications, p. 189-200-
dc.identifier.urihttp://hdl.handle.net/10722/318285-
dc.languageeng-
dc.relation.ispartofInternational Conference on Intelligent Robotics and Applications-
dc.titleMulti-Person Absolute 3D Pose and Shape Estimation from Video-
dc.typeConference_Paper-
dc.identifier.emailXi, N: xining@hku.hk-
dc.identifier.authorityXi, N=rp02044-
dc.identifier.doi10.1007/978-3-030-89134-3_18-
dc.identifier.hkuros338305-
dc.identifier.spage189-
dc.identifier.epage200-
dc.identifier.isiWOS:000725410600018-

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