{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:26:49Z","timestamp":1750220809584,"version":"3.41.0"},"reference-count":57,"publisher":"Association for Computing Machinery (ACM)","issue":"1s","license":[{"start":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T00:00:00Z","timestamp":1580428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Multimedia Comput. Commun. Appl."],"published-print":{"date-parts":[[2020,1,31]]},"abstract":"<jats:p>Person Re-identification is a very challenging task due to inter-class ambiguity caused by similar appearances, and large intra-class diversity caused by viewpoints, illuminations, and poses. To address these challenges, in this article, a graph convolution network based model for person re-identification is proposed to learn more discriminative feature embeddings, where a graph-structured relationship between person images and person parts are together integrated. Graph convolution networks extract common characteristics of the same person, while pyramid feature embedding exploits parts relations and learns stable representation with each person image. We achieve a very competitive performance respectively on three widely used datasets, indicating that the proposed approach significantly outperforms the baseline methods and achieves the state-of-the-art performance.<\/jats:p>","DOI":"10.1145\/3362988","type":"journal-article","created":{"date-parts":[[2020,5,4]],"date-time":"2020-05-04T07:01:36Z","timestamp":1588575696000},"page":"1-14","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Spatial Preserved Graph Convolution Networks for Person Re-identification"],"prefix":"10.1145","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3917-3921","authenticated-orcid":false,"given":"Zhaoju","family":"Li","sequence":"first","affiliation":[{"name":"University of Chinese Academy of Sciences, Beijing, China"}]},{"given":"Zongwei","family":"Zhou","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Nan","family":"Jiang","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Beijing, China"}]},{"given":"Zhenjun","family":"Han","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Beijing, China"}]},{"given":"Junliang","family":"Xing","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Jianbin","family":"Jiao","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2020,4,25]]},"reference":[{"volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 3908--3916","author":"Ahmed Ejaz","key":"e_1_2_1_1_1"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.358"},{"volume-title":"International Conference on Learning Representations.","year":"2014","author":"Bruna Joan","key":"e_1_2_1_3_1"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00225"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.145"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.304"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.149"},{"volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 1983--1991","author":"Chung Dahjung","key":"e_1_2_1_8_1"},{"key":"e_1_2_1_9_1","unstructured":"Michael Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. In Advances in Neural Information Processing Systems. 3844--3852.  Michael Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. In Advances in Neural Information Processing Systems. 3844--3852."},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539926"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88682-2_21"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2570553"},{"key":"e_1_2_1_14_1","first-page":"354","article-title":"Robust object tracking via key patch sparse representation","volume":"47","author":"He Zhenyu","year":"2017","journal-title":"IEEE Transactions on Cybernetics"},{"key":"e_1_2_1_15_1","unstructured":"Alexander Hermans Lucas Beyer and Bastian Leibe. 2017. In defense of the triplet loss for person re-identification. Arxiv Preprint Arxiv:1703.07737 (2017).  Alexander Hermans Lucas Beyer and Bastian Leibe. 2017. In defense of the triplet loss for person re-identification. Arxiv Preprint Arxiv:1703.07737 (2017)."},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.06.003"},{"volume-title":"Proceedings of International Conference on Learning Representations.","author":"Thomas","key":"e_1_2_1_17_1"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247939"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.246"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.461"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.08.001"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.27"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/305"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00243"},{"volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2197--2206","author":"Liao Shengcai","key":"e_1_2_1_25_1"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.11.001"},{"key":"e_1_2_1_28_1","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten Laurens","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.152"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.426"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.577"},{"key":"e_1_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Peter M. Roth Martin Hirzer Martin Koestinger Csaba Beleznai and Horst Bischof. 2014. Mahalanobis distance learning for person re-identification. In Person Re-Identification. 247--267.  Peter M. Roth Martin Hirzer Martin Koestinger Csaba Beleznai and Horst Bischof. 2014. Mahalanobis distance learning for person re-identification. In Person Re-Identification. 247--267.","DOI":"10.1007\/978-1-4471-6296-4_12"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00051"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_30"},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.434"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.427"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_30"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_30"},{"volume-title":"International Conference on Learning Representations.","year":"2018","author":"Veli\u010dkovi\u0107 Petar","key":"e_1_2_1_40_1"},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.144"},{"key":"e_1_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123279"},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.5555\/1577069.1577078"},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.140"},{"volume-title":"Proceedings of the European Conference on Computer Vision. 536--551","author":"Yang Yang","key":"e_1_2_1_45_1"},{"key":"e_1_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.139"},{"key":"e_1_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2539860"},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2586194"},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2766093"},{"key":"e_1_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2406194"},{"key":"e_1_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.103"},{"key":"e_1_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.5555\/2919332.2919877"},{"key":"e_1_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.138"},{"key":"e_1_2_1_54_1","article-title":"A discriminatively learned CNN embedding for person reidentification","volume":"14","author":"Zheng Zhedong","year":"2017","journal-title":"ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)"},{"volume-title":"Proceedings of the IEEE International Conference on Computer Vision. 3800--3808","year":"2017","author":"Zheng Zhedong","key":"e_1_2_1_55_1"},{"key":"e_1_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.405"},{"key":"e_1_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.389"}],"container-title":["ACM Transactions on Multimedia Computing, Communications, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3362988","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3362988","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:12:52Z","timestamp":1750201972000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3362988"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,31]]},"references-count":57,"journal-issue":{"issue":"1s","published-print":{"date-parts":[[2020,1,31]]}},"alternative-id":["10.1145\/3362988"],"URL":"https:\/\/doi.org\/10.1145\/3362988","relation":{},"ISSN":["1551-6857","1551-6865"],"issn-type":[{"type":"print","value":"1551-6857"},{"type":"electronic","value":"1551-6865"}],"subject":[],"published":{"date-parts":[[2020,1,31]]},"assertion":[{"value":"2019-04-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-09-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-04-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}