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dc.contributor.authorOh, Tae-Hyun-
dc.contributor.authorJoo, Kyungdon-
dc.contributor.authorKim, Junsik-
dc.contributor.authorKweon, In So-
dc.date.accessioned2023-03-20T02:22:52Z-
dc.date.available2023-03-20T02:22:52Z-
dc.date.created2023-03-16-
dc.date.issued2016-06-27-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/117029-
dc.languageEnglish-
dc.publisherIEEE-
dc.relation.isPartOf2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)-
dc.relation.isPartOf2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)-
dc.titleGlobally Optimal Manhattan Frame Estimation in Real-Time-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitation2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)-
dc.citation.conferenceDate2016-06-27-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceLas Vegas, NV, USA-
dc.citation.title2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)-
dc.contributor.affiliatedAuthorOh, Tae-Hyun-
dc.description.journalClass1-
dc.description.journalClass1-

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