{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:11:05Z","timestamp":1750219865937,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"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":[],"published-print":{"date-parts":[[2022,10,14]]},"DOI":"10.1145\/3552437.3555692","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T22:08:38Z","timestamp":1664575718000},"page":"121-127","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A Person Re-identification Approach Focusing on the Occlusion Problem and Ranking Optimization"],"prefix":"10.1145","author":[{"given":"Wenkai","family":"Zheng","sequence":"first","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}]},{"given":"Mei","family":"Yuan","sequence":"additional","affiliation":[{"name":"Peking University, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.358"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00083"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.90"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.127"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4408891"},{"key":"e_1_3_2_2_7_1","volume-title":"Autoaugment: Learning augmentation policies from data. arXiv preprint arXiv:1805.09501","author":"Cubuk Ekin D","year":"2018","unstructured":"Ekin D Cubuk , Barret Zoph , Dandelion Mane , Vijay Vasudevan , and Quoc V Le . 2018 . Autoaugment: Learning augmentation policies from data. arXiv preprint arXiv:1805.09501 (2018). Ekin D Cubuk, Barret Zoph, Dandelion Mane, Vijay Vasudevan, and Quoc V Le. 2018. Autoaugment: Learning augmentation policies from data. arXiv preprint arXiv:1805.09501 (2018)."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_2_9_1","unstructured":"Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly etal 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020).  Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly et al. 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.256"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01451"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01176"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2652725"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_15_1","volume-title":"Fastreid: A pytorch toolbox for general instance re-identification. arXiv preprint arXiv:2006.02631","author":"He Lingxiao","year":"2020","unstructured":"Lingxiao He , Xingyu Liao , Wu Liu , Xinchen Liu , Peng Cheng , and Tao Mei . 2020 . Fastreid: A pytorch toolbox for general instance re-identification. arXiv preprint arXiv:2006.02631 (2020). Lingxiao He, Xingyu Liao, Wu Liu, Xinchen Liu, Peng Cheng, and Tao Mei. 2020. Fastreid: A pytorch toolbox for general instance re-identification. arXiv preprint arXiv:2006.02631 (2020)."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01474"},{"key":"e_1_3_2_2_17_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_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.382970"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00508"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00190"},{"key":"e_1_3_2_2_21_1","volume-title":"Self-Supervised Pre-Training for Transformer-Based Person Re-Identification. arXiv preprint arXiv:2111.12084","author":"Luo Hao","year":"2021","unstructured":"Hao Luo , Pichao Wang , Yi Xu , Feng Ding , Yanxin Zhou , Fan Wang , Hao Li , and Rong Jin . 2021. Self-Supervised Pre-Training for Transformer-Based Person Re-Identification. arXiv preprint arXiv:2111.12084 ( 2021 ). Hao Luo, Pichao Wang, Yi Xu, Feng Ding, Yanxin Zhou, Fan Wang, Hao Li, and Rong Jin. 2021. Self-Supervised Pre-Training for Transformer-Based Person Re-Identification. arXiv preprint arXiv:2111.12084 (2021)."},{"key":"e_1_3_2_2_22_1","volume-title":"Associative embedding: Endto-end learning for joint detection and grouping. Advances in neural information processing systems 30","author":"Newell Alejandro","year":"2017","unstructured":"Alejandro Newell , Zhiao Huang , and Jia Deng . 2017. Associative embedding: Endto-end learning for joint detection and grouping. Advances in neural information processing systems 30 ( 2017 ). Alejandro Newell, Zhiao Huang, and Jia Deng. 2017. Associative embedding: Endto-end learning for joint detection and grouping. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995373"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00051"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248031"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00643"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00648"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240552"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-92273-3_18"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806326"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2605058"},{"key":"e_1_3_2_2_32_1","volume-title":"Deep learning for person re-identification: A survey and outlook","author":"Ye Mang","year":"2021","unstructured":"Mang Ye , Jianbing Shen , Gaojie Lin , Tao Xiang , Ling Shao , and Steven CH Hoi . 2021. Deep learning for person re-identification: A survey and outlook . IEEE transactions on pattern analysis and machine intelligence 44, 6 ( 2021 ), 2872--2893. Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, and Steven CH Hoi. 2021. Deep learning for person re-identification: A survey and outlook. IEEE transactions on pattern analysis and machine intelligence 44, 6 (2021), 2872--2893."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2021.104330"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.389"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7000"}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Lisboa Portugal","acronym":"MM '22"},"container-title":["Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3552437.3555692","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3552437.3555692","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:41Z","timestamp":1750178861000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3552437.3555692"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":35,"alternative-id":["10.1145\/3552437.3555692","10.1145\/3552437"],"URL":"https:\/\/doi.org\/10.1145\/3552437.3555692","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}