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OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos

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dc.contributor.authorLee, Seong Whan-
dc.date.accessioned2022-11-26T17:41:11Z-
dc.date.available2022-11-26T17:41:11Z-
dc.date.created2022-11-26-
dc.date.issued2022-10-09-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/146201-
dc.publisherSystems, Man, and Cybernetics Society-
dc.titleOTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos-
dc.title.alternativeOTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos-
dc.typeConference-
dc.contributor.affiliatedAuthorLee, Seong Whan-
dc.identifier.bibliographicCitation2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)-
dc.relation.isPartOf2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)-
dc.relation.isPartOfProc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2022)-
dc.citation.title2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)-
dc.citation.conferencePlaceCS-
dc.citation.conferenceDate2022-10-09-
dc.type.rimsCONF-
dc.description.journalClass1-
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