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Clip-level feature aggregation : a key factor for video-based person re-identification

dc.contributor.authorLyu, Chengjin
dc.contributor.authorHeyer Wollenberg, Patrick
dc.contributor.authorPlatisa, Ljiljana
dc.contributor.authorGoossens, Bart
dc.contributor.authorVeelaert, Peter
dc.contributor.editorPhilips, Wilfried
dc.date.accessioned2021-10-29T00:14:43Z
dc.date.available2021-10-29T00:14:43Z
dc.date.issued2020
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/35511
dc.sourceIIOimport
dc.titleClip-level feature aggregation : a key factor for video-based person re-identification
dc.typeProceedings paper
dc.contributor.imecauthorLyu, Chengjin
dc.contributor.imecauthorHeyer Wollenberg, Patrick
dc.contributor.imecauthorPlatisa, Ljiljana
dc.contributor.imecauthorGoossens, Bart
dc.contributor.imecauthorVeelaert, Peter
dc.contributor.orcidimecPlatisa, Ljiljana::0000-0001-6228-0587
dc.contributor.orcidimecGoossens, Bart::0000-0002-1666-5483
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage179
dc.source.endpage191
dc.source.conferenceACIVS 2020: Advanced Concepts for Intelligent Vision Systems
dc.source.conferencedate10/02/2020
dc.source.conferencelocationAuckland New-Zealand
dc.identifier.urlhttps://doi.org/10.1007/978-3-030-40605-9_16
imec.availabilityPublished - open access
imec.internalnotesLecture Notes in Computer Science; Vol. LNCS 12002


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