Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes

dc.contributor.author	Pons-Moll, Gerard
dc.date.accessioned	2023-07-03T12:00:05Z
dc.date.available	2023-07-03T12:00:05Z
dc.date.issued	2023-02-22
dc.identifier.isbn	978-1-6654-5670-8
dc.identifier.issn	2475-7888
dc.identifier.uri	http://hdl.handle.net/10900/142677
dc.language.iso	en	de_DE
dc.publisher	IEEE	de_DE
dc.relation.uri	https://doi.org/10.1109/3DV57658.2022.00019	de_DE
dc.subject.ddc	004	de_DE
dc.title	Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes	de_DE
dc.type	Article	de_DE
dc.type	ConferenceObject	de_DE
utue.personen.roh	Pons-Moll, Gerard
utue.personen.roh	Zhou, Keyang
utue.personen.roh	Bhatnagar, Bharat Lal
utue.personen.roh	Schiele, Bernd
dcterms.isPartOf.ZSTitelID	2022 International Conference on 3D Vision (3DV)	de_DE