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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27091
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dc.contributor.authorCheng, K-
dc.contributor.authorLiu, Q-
dc.contributor.authorTahir, R-
dc.contributor.authorWang, L-
dc.contributor.authorLi, M-
dc.date.accessioned2023-08-30T14:49:48Z-
dc.date.available2023-08-30T14:49:48Z-
dc.date.issued2021-11-17-
dc.identifierORCiD: Keyang Cheng https://orcid.org/0000-0001-5240-1605-
dc.identifierORCiD: Qing Liu https://orcid.org/0000-0002-3546-9832-
dc.identifierORCiD: Rabia Tahir https://orcid.org/0000-0001-9625-4125-
dc.identifierORCiD: Liangmin Wang https://orcid.org/0000-0003-0048-5979-
dc.identifierORCiD: Maozhen Li https://orcid.org/0000-0002-0820-5487-
dc.identifier.citationCheng, K., et al. (2021) 'Logical Topology Inference via CPGCN Joint Optimizing With Pedestrian Re-Id', IEEE Transactions on Neural Networks and Learning Systems, 34 (8), pp. 5099 - 5111. doi: 10.1109/tnnls.2021.312536810.1109/tnnls.2021.3125368.en_US
dc.identifier.issn2162-237X-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/27091-
dc.description.sponsorship10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61972183); Director Foundation Project of National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data (PSRPC).en_US
dc.format.extent5099 - 5111-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2021 Institute of Electrical and Electronics Engineers (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 by sending a request to pubs-permissions@ieee.org. For more information, see https://www.ieee.org/publications/rights/rights-policies.html-
dc.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html-
dc.subjectgraph convolution networken_US
dc.subjectlogical topology inferenceen_US
dc.subjectpedestrian reidentificationen_US
dc.titleLogical Topology Inference via CPGCN Joint Optimizing With Pedestrian Re-Iden_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/tnnls.2021.3125368-
dc.relation.isPartOfIEEE Transactions on Neural Networks and Learning Systems-
pubs.issue8-
pubs.publication-statusPublished-
pubs.volume34-
dc.identifier.eissn2162-2388-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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