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dc.contributor.authorZhang, Den_US
dc.contributor.authorLin, Len_US
dc.contributor.authorChen, Ten_US
dc.contributor.authorWu, Xen_US
dc.contributor.authorTan, Wen_US
dc.contributor.authorIzquierdo, Een_US
dc.date.accessioned2016-12-13T13:16:43Z
dc.date.available2016-10-22en_US
dc.date.issued2017-01en_US
dc.date.submitted2016-11-15T01:25:01.011Z
dc.identifier.issn1057-7149en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/18240
dc.relation.ispartofIEEE TRANSACTIONS ON IMAGE PROCESSINGen_US
dc.subjectSketch generationen_US
dc.subjectrepresentation learningen_US
dc.subjectfully convolutional networken_US
dc.titleContent-Adaptive Sketch Portrait Generation by Decompositional Representation Learningen_US
dc.typeArticle
dc.rights.holder© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.identifier.doi10.1109/TIP.2016.2623485en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000389350500010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue1en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume26en_US


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