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dc.contributor.authorKim, Myeung Un-
dc.contributor.authorLee, Harim-
dc.contributor.authorYang, Hyun Jong-
dc.contributor.authorRyoo, Michael S.-
dc.date.accessioned2021-06-01T11:03:03Z-
dc.date.available2021-06-01T11:03:03Z-
dc.date.created2021-02-25-
dc.date.issued2019-11-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/106364-
dc.publisherIEEE-
dc.relation.isPartOf2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)-
dc.relation.isPartOf2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)-
dc.titlePrivacy-Preserving Robot Vision with Anonymized Faces by Extreme Low Resolution-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitation2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)-
dc.citation.conferenceDate2019-11-03-
dc.citation.conferencePlaceCC-
dc.citation.conferencePlaceMacau, China-
dc.citation.title2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)-
dc.contributor.affiliatedAuthorYang, Hyun Jong-
dc.description.journalClass1-
dc.description.journalClass1-

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양현종YANG, HYUN JONG
Dept of Electrical Enginrg
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