{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T21:07:22Z","timestamp":1762808842666,"version":"3.28.0"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8852350","type":"proceedings-article","created":{"date-parts":[[2019,9,30]],"date-time":"2019-09-30T23:44:32Z","timestamp":1569887072000},"page":"1-8","source":"Crossref","is-referenced-by-count":12,"title":["Urban Area Vehicle Re-Identification With Self-Attention Stair Feature Fusion and Temporal Bayesian Re-Ranking"],"prefix":"10.1109","author":[{"given":"Chenghuan","family":"Liu","sequence":"first","affiliation":[]},{"given":"Du Q.","family":"Huynh","sequence":"additional","affiliation":[]},{"given":"Mark","family":"Reynolds","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.26"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.314"},{"key":"ref30","article-title":"Self-attention generative adversarial networks","author":"zhang","year":"2018","journal-title":"arXiv preprint arXiv 1805 08318"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00679"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.186"},{"key":"ref34","article-title":"Camera Style Adaptation for Person Re-identification","author":"zhong","year":"2017","journal-title":"arXiv preprint arXiv 1711 11585"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2140318"},{"key":"ref11","article-title":"End-to-End Comparative Attention Networks for Person Re-Identification","author":"liu","year":"2016","journal-title":"arXiv preprint arXiv 1606 04404"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.238"},{"key":"ref13","first-page":"1","article-title":"Large-Scale Vehicle Re-Identification in Urban Surveillance Videos","author":"liu","year":"2016","journal-title":"IEEE Int Conf Multimedia Expo (ICME)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_53"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2487048"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.210"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2004.833770"},{"key":"ref19","first-page":"791","article-title":"Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification","author":"varior","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.10"},{"key":"ref4","first-page":"1","article-title":"Evaluating Appearance Models for Recognition, Reacquisition, and Tracking","volume":"3","author":"gray","year":"2007","journal-title":"Proc IEEE International Workshop on Performance Evaluation for Tracking and Surveillance (PETS)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299023"},{"key":"ref3","first-page":"1335","article-title":"Person Re-Identification by Multi-channel Parts-based CNN with Improved Triplet Loss Function","author":"cheng","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.77"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.195"},{"key":"ref5","article-title":"In Defense of The Triplet Loss for Person Re-Identification","author":"hermans","year":"2017","journal-title":"arXiv preprint arXiv 1703 07737"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.463"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2009.04.003"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.145"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298832"},{"key":"ref1","first-page":"937","article-title":"Learning a Mahalanobis Metric from Equivalence Constraints","volume":"6","author":"barhillel","year":"2005","journal-title":"Journal of Machine Learning Research"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240552"},{"key":"ref22","first-page":"207","article-title":"Distance Metric Learning for Large Margin Nearest Neighbor Classification","volume":"10","author":"weinberger","year":"2009","journal-title":"Journal of Machine Learning Research"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.49"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.140"},{"key":"ref23","article-title":"Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification","author":"xiao","year":"2017","journal-title":"arXiv preprint arXiv 1710 00478"},{"key":"ref26","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref25","first-page":"1","article-title":"Person Re-Identification using Kernel-based Metric Learning Methods","author":"xiong","year":"2014","journal-title":"European Conference on Computer Vision"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2019,7,14]]},"location":"Budapest, Hungary","end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08852350.pdf?arnumber=8852350","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T17:48:46Z","timestamp":1658080126000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8852350\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8852350","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}