Logical Topology Inference via CPGCN Joint Optimizing With Pedestrian Re-Id

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27091

Title:	Logical Topology Inference via CPGCN Joint Optimizing With Pedestrian Re-Id
Authors:	Cheng, K Liu, Q Tahir, R Wang, L Li, M
Keywords:	graph convolution network;logical topology inference;pedestrian reidentification
Issue Date:	17-Nov-2021
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Citation:	Cheng, 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.
URI:	https://bura.brunel.ac.uk/handle/2438/27091
DOI:	https://doi.org/10.1109/tnnls.2021.3125368
ISSN:	2162-237X
Other Identifiers:	ORCiD: Keyang Cheng https://orcid.org/0000-0001-5240-1605 ORCiD: Qing Liu https://orcid.org/0000-0002-3546-9832 ORCiD: Rabia Tahir https://orcid.org/0000-0001-9625-4125 ORCiD: Liangmin Wang https://orcid.org/0000-0003-0048-5979 ORCiD: Maozhen Li https://orcid.org/0000-0002-0820-5487
Appears in Collections:	Dept of Electronic and Electrical Engineering Research Papers

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