1. Brunel University Research Archive
  2. College of Engineering, Design and Physical Sciences
  3. Dept of Electronic and Electrical Engineering
  4. Dept of Electronic and Electrical Engineering Embargoed Research Papers
Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23428
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhang, C-
dc.contributor.authorChen, P-
dc.contributor.authorLei, T-
dc.contributor.authorWu, Y-
dc.contributor.authorMeng, H-
dc.date.accessioned2021-11-01T11:24:22Z-
dc.date.available2021-11-01T11:24:22Z-
dc.date.issued2021-10-07-
dc.identifier.citationZhang, C., Chen, P., Lei, T., Wu, Y. and Meng, H. (2022) 'What-Where-When Attention Network for video-based person re-identification', Neurocomputing, 468, pp. 33-47. doi: 10.1016/j.neucom.2021.10.018.en_US
dc.identifier.issn0925-2312-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/23428-
dc.description.sponsorshipThis work was supported in part by the National Natural Science Foundation of China (61801437, 61871351, 61971381); Natural Science Foundation of Shanxi Province (201801D221206, 201801D221207); Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi (2020L0683); The National Natural Science Foundation of China under Grant 61461025, Grant 61871259, Grant 61811530325 (IECnNSFCn170396, Royal Society, U.K.), and Grant 61861024; The Key research and development plan of Luliang City (2020GXZDYF21).en_US
dc.format.extent33 - 47 (15)-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherElsevier BVen_US
dc.subjectperson re-identificationen_US
dc.subjectwhat-where-whenen_US
dc.subjectattentionen_US
dc.subjectspatial-temporal featureen_US
dc.subjectgraph attention networken_US
dc.subjectattributeen_US
dc.subjectidentityen_US
dc.titleWhat-Where-When Attention Network for Video-based Person Re-identification Neurocomputingen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.neucom.2021.10.018-
dc.relation.isPartOfNeurocomputing-
pubs.publication-statusPublished-
pubs.volume468-
dc.identifier.eissn1872-8286-
Appears in Collections:Dept of Electronic and Electrical Engineering Embargoed Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfEmbargoed until 07 October 202332.95 MBAdobe PDFView/Open
Show simple item record


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.