HOReID: Deep High-Order Mapping Enhances Pose Alignment for Person Re-Identification

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/22358

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DC Field	Value	Language
dc.contributor.author	Wang, P	-
dc.contributor.author	Zhao, Z	-
dc.contributor.author	Su, F	-
dc.contributor.author	Zu, X	-
dc.contributor.author	Boulgouris, NV	-
dc.date.accessioned	2021-03-04T06:24:24Z	-
dc.date.available	2021-01-01	-
dc.date.available	2021-03-04T06:24:24Z	-
dc.date.issued	2021-02-09	-
dc.identifier.citation	P. Wang, Z. Zhao, F. Su, X. Zu and N. V. Boulgouris, "HOReID: Deep High-Order Mapping Enhances Pose Alignment for Person Re-Identification," in IEEE Transactions on Image Processing, vol. 30, pp. 2908-2922, 2021,	en_US
dc.identifier.issn	1057-7149	-
dc.identifier.issn	1941-0042	-
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/22358	-
dc.description.sponsorship	MoE-CMCC Artifical Intelligence; Chinese National Natural Science Foundation	en_US
dc.language.iso	en	en_US
dc.publisher	IEEE	en_US
dc.subject	Person re-identification	en_US
dc.subject	Pose alignment	en_US
dc.subject	High-order mapping	en_US
dc.subject	Convolutional neural networks	en_US
dc.title	HOReID: Deep High-Order Mapping Enhances Pose Alignment for Person Re-Identification	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.1109/TIP.2021.3055952	-
dc.relation.isPartOf	IEEE Transactions on Image Processing	-
pubs.publication-status	Published	-
dc.identifier.eissn	1941-0042	-
Appears in Collections:	Dept of Electronic and Electrical Engineering Research Papers

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