dc.contributor.author | Coors, Benjamin | |
dc.contributor.author | Geiger, Andreas | |
dc.date.accessioned | 2020-12-28T18:19:00Z | |
dc.date.available | 2020-12-28T18:19:00Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-1-7281-3131-3 | |
dc.identifier.isbn | 978-1-7281-3132-0 | |
dc.identifier.uri | http://hdl.handle.net/10900/110951 | |
dc.language.iso | en | de_DE |
dc.relation.uri | http://dx.doi.org/10.1109/3DV.2019.00022 | de_DE |
dc.subject.ddc | 004 | de_DE |
dc.title | NoVA: Learning to See in Novel Viewpoints and Domains | de_DE |
dc.type | Article | de_DE |
dc.type | ConferenceObject | de_DE |
utue.personen.roh | Coors, Benjamin | |
utue.personen.roh | Condurache, Alexandru Paul | |
utue.personen.roh | Geiger, Andreas | |
dcterms.isPartOf.ZSTitelID | 2019 International Conference on 3D Vision (3DV) | de_DE |
Dateien | Größe | Format | Anzeige |
---|---|---|---|
Zu diesem Dokument gibt es keine Dateien. |