dc.contributor.author |
Geiger, Andreas |
|
dc.date.accessioned |
2021-11-05T16:48:44Z |
|
dc.date.available |
2021-11-05T16:48:44Z |
|
dc.date.issued |
2020 |
|
dc.identifier.isbn |
978-3-030-58573-0 |
|
dc.identifier.isbn |
978-3-030-58574-7 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/120529 |
|
dc.language.iso |
en |
de_DE |
dc.publisher |
Cham: Springer |
de_DE |
dc.relation.ispartofseries |
Lecture Notes in Computer Science;12371 |
|
dc.relation.uri |
https://doi.org/10.1007/978-3-030-58574-7_9 |
de_DE |
dc.subject.ddc |
004 |
de_DE |
dc.title |
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis |
de_DE |
dc.type |
BookPart |
de_DE |
dc.type |
ConferenceObject |
de_DE |
utue.personen.roh |
Chen, Xu |
|
utue.personen.roh |
Song, Jie |
|
utue.personen.roh |
Geiger, Andreas |
|
utue.personen.roh |
Hilliges, Otmar |
|
utue.personen.roh |
Dong, Zijian |
|
utue.publikation.buchdesbeitrags |
Vedaldi A., Bischof H., Brox T., Frahm JM. (eds) Computer Vision – ECCV 2020 |
de_DE |