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dc.contributor.authorKWON, HEESEUNG-
dc.contributor.authorCHO, MINSU-
dc.contributor.authorKWAK, SU HA-
dc.date.accessioned2019-04-08T05:55:20Z-
dc.date.available2019-04-08T05:55:20Z-
dc.date.created2019-03-14-
dc.date.issued2018-10-22-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/97556-
dc.languageEnglish-
dc.publisherACM-
dc.relation.isPartOfInternational Workshop on Comprehensive Video Understanding in the Wild (CoVieW), ACMMM 2021-
dc.relation.isPartOfCoVieW'18 Proceedings of the 1st Workshop and Challenge on Comprehensive Video Understanding-
dc.titleVideo Understanding via Convolutional Temporal Pooling Network and Multimodal Feature Fusion-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationInternational Workshop on Comprehensive Video Understanding in the Wild (CoVieW), ACMMM 2021, pp.35 - 39-
dc.citation.conferenceDate2018-10-22-
dc.citation.conferencePlaceKO-
dc.citation.conferencePlaceSeoul, Korea-
dc.citation.endPage39-
dc.citation.startPage35-
dc.citation.titleInternational Workshop on Comprehensive Video Understanding in the Wild (CoVieW), ACMMM 2021-
dc.contributor.affiliatedAuthorKWON, HEESEUNG-
dc.contributor.affiliatedAuthorCHO, MINSU-
dc.contributor.affiliatedAuthorKWAK, SU HA-
dc.identifier.scopusid2-s2.0-85058189955-
dc.description.journalClass1-
dc.description.journalClass1-

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Dept of Computer Science & Enginrg
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