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dc.contributor.authorCHO, MINSU-
dc.contributor.authorKWAK, SU HA-
dc.contributor.authorCordelia Schmid-
dc.contributor.authorJean Ponce-
dc.date.accessioned2018-05-24T10:28:51Z-
dc.date.available2018-05-24T10:28:51Z-
dc.date.created2017-01-03-
dc.date.issued2015-06-08-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/48748-
dc.publisherIEEE Computer Society-
dc.relation.isPartOfThe IEEE Conference on Computer Vision and Pattern Recognition (CVPR)-
dc.relation.isPartOfPROCEEDINGS OF THE IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)-
dc.titleUnsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationThe IEEE Conference on Computer Vision and Pattern Recognition (CVPR)-
dc.citation.conferenceDate2015-06-07-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceBoston, MA-
dc.citation.titleThe IEEE Conference on Computer Vision and Pattern Recognition (CVPR)-
dc.contributor.affiliatedAuthorCHO, MINSU-
dc.contributor.affiliatedAuthorKWAK, SU HA-
dc.description.journalClass1-
dc.description.journalClass1-

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조민수CHO, MINSU
Dept of Computer Science & Enginrg
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