Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/23428
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, C | - |
dc.contributor.author | Chen, P | - |
dc.contributor.author | Lei, T | - |
dc.contributor.author | Wu, Y | - |
dc.contributor.author | Meng, H | - |
dc.date.accessioned | 2021-11-01T11:24:22Z | - |
dc.date.available | 2021-11-01T11:24:22Z | - |
dc.date.issued | 2021-10-07 | - |
dc.identifier.citation | Zhang, 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.issn | 0925-2312 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/23428 | - |
dc.description.sponsorship | This 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.extent | 33 - 47 (15) | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier BV | en_US |
dc.subject | person re-identification | en_US |
dc.subject | what-where-when | en_US |
dc.subject | attention | en_US |
dc.subject | spatial-temporal feature | en_US |
dc.subject | graph attention network | en_US |
dc.subject | attribute | en_US |
dc.subject | identity | en_US |
dc.title | What-Where-When Attention Network for Video-based Person Re-identification Neurocomputing | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.neucom.2021.10.018 | - |
dc.relation.isPartOf | Neurocomputing | - |
pubs.publication-status | Published | - |
pubs.volume | 468 | - |
dc.identifier.eissn | 1872-8286 | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Embargoed Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.pdf | Embargoed until 07 October 2023 | 32.95 MB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.