{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T14:21:02Z","timestamp":1791814862117,"version":"4.3.4"},"publisher-location":"New York, NY, USA","reference-count":38,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,10,15]],"date-time":"2018-10-15T00:00:00Z","timestamp":1539561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the National Natural Science Foundation of China","award":["No. U1611461, No. 61471042, No. 61390515 and No. 61425025"],"award-info":[{"award-number":["No. U1611461, No. 61471042, No. 61390515 and No. 61425025"]}]},{"name":"the National Key R\\&D Program of China","award":["2017YFB1002401"],"award-info":[{"award-number":["2017YFB1002401"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,10,15]]},"DOI":"10.1145\/3240508.3240606","type":"proceedings-article","created":{"date-parts":[[2018,10,18]],"date-time":"2018-10-18T13:52:08Z","timestamp":1539870728000},"page":"609-617","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":57,"title":["Cross-Domain Adversarial Feature Learning for Sketch Re-identification"],"prefix":"10.1145","author":[{"given":"Lu","family":"Pang","sequence":"first","affiliation":[{"name":"Peking University Shenzhen Graduate School &amp; Peking University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaowei","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi-Zhe","family":"Song","sequence":"additional","affiliation":[{"name":"Queen Mary University of London, London, England UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tiejun","family":"Huang","sequence":"additional","affiliation":[{"name":"Peking University Shenzhen Graduate School &amp; Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yonghong","family":"Tian","sequence":"additional","affiliation":[{"name":"Peking University Shenzhen Graduate School &amp; Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2018,10,15]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299016"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.168"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2666805"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.149"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_1_6_1","volume-title":"Adversarial feature learning. arXiv preprint arXiv:1605.09782","author":"Donahue Jeff","year":"2016","unstructured":"Jeff Donahue , Philipp Kr\"ahenb \u00fchl , and Trevor Darrell . 2016. Adversarial feature learning. arXiv preprint arXiv:1605.09782 ( 2016 ). Jeff Donahue, Philipp Kr\"ahenb\u00fchl, and Trevor Darrell. 2016. Adversarial feature learning. arXiv preprint arXiv:1605.09782 (2016)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185540"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2010.266"},{"key":"e_1_3_2_1_9_1","volume-title":"Deep transfer learning for person re-identification. arXiv preprint arXiv:1611.05244","author":"Geng Mengyue","year":"2016","unstructured":"Mengyue Geng , Yaowei Wang , Tao Xiang , and Yonghong Tian . 2016. Deep transfer learning for person re-identification. arXiv preprint arXiv:1611.05244 ( 2016 ). Mengyue Geng, Yaowei Wang, Tao Xiang, and Yonghong Tian. 2016. Deep transfer learning for person re-identification. arXiv preprint arXiv:1611.05244 (2016)."},{"key":"e_1_3_2_1_10_1","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680.   Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2013.02.005"},{"key":"e_1_3_2_1_13_1","volume-title":"Image-to-image translation with conditional adversarial networks. arXiv preprint","author":"Isola Phillip","year":"2017","unstructured":"Phillip Isola , Jun-Yan Zhu , Tinghui Zhou , and Alexei A Efros . 2017. Image-to-image translation with conditional adversarial networks. arXiv preprint ( 2017 ). Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros. 2017. Image-to-image translation with conditional adversarial networks. arXiv preprint (2017)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2393347.2396354"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.27"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Yi Li Timothy M Hospedales Yi-Zhe Song and Shaogang Gong. 2014a. Fine-grained sketch-based image retrieval by matching deformable part models. (2014).  Yi Li Timothy M Hospedales Yi-Zhe Song and Shaogang Gong. 2014a. Fine-grained sketch-based image retrieval by matching deformable part models. (2014).","DOI":"10.5244\/C.28.115"},{"key":"e_1_3_2_1_18_1","unstructured":"Ming-Yu Liu and Oncel Tuzel. 2016. Coupled generative adversarial networks. In Advances in neural information processing systems. 469--477.   Ming-Yu Liu and Oncel Tuzel. 2016. Coupled generative adversarial networks. In Advances in neural information processing systems. 469--477."},{"key":"e_1_3_2_1_19_1","volume-title":"Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784","author":"Mirza Mehdi","year":"2014","unstructured":"Mehdi Mirza and Simon Osindero . 2014. Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784 ( 2014 ). Mehdi Mirza and Simon Osindero. 2014. Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784 (2014)."},{"key":"e_1_3_2_1_20_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 1846--1855","author":"Paisitkriangkrai Sakrapee","unstructured":"Sakrapee Paisitkriangkrai , Chunhua Shen , and Anton van den Hengel. 2015. Learning to rank in person re-identification with metric ensembles . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 1846--1855 . Sakrapee Paisitkriangkrai, Chunhua Shen, and Anton van den Hengel. 2015. Learning to rank in person re-identification with metric ensembles. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 1846--1855."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Kaiyue Pang Yi-Zhe Song Tao Xiang and Timothy Hospedales. 2017. Cross-domain generative learning for fine-grained sketch-based image retrieval. BMVC.  Kaiyue Pang Yi-Zhe Song Tao Xiang and Timothy Hospedales. 2017. Cross-domain generative learning for fine-grained sketch-based image retrieval. BMVC.","DOI":"10.5244\/C.31.46"},{"key":"e_1_3_2_1_22_1","volume-title":"Multi-Camera Tracking. In European Conference on Computer Vision workshop on Benchmarking Multi-Target Tracking .","author":"Ristani Ergys","year":"2016","unstructured":"Ergys Ristani , Francesco Solera , Roger Zou , Rita Cucchiara , and Carlo Tomasi . 2016 . Performance Measures and a Data Set for Multi-Target , Multi-Camera Tracking. In European Conference on Computer Vision workshop on Benchmarking Multi-Target Tracking . Ergys Ristani, Francesco Solera, Roger Zou, Rita Cucchiara, and Carlo Tomasi. 2016. Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking. In European Conference on Computer Vision workshop on Benchmarking Multi-Target Tracking ."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897824.2925954"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Jifei Song Yu Qian Yi-Zhe Song Tao Xiang and Timothy Hospedales. 2017. Deep spatial-semantic attention for fine-grained sketch-based image retrieval. In ICCV .  Jifei Song Yu Qian Yi-Zhe Song Tao Xiang and Timothy Hospedales. 2017. Deep spatial-semantic attention for fine-grained sketch-based image retrieval. In ICCV .","DOI":"10.1109\/ICCV.2017.592"},{"key":"e_1_3_2_1_25_1","volume-title":"et almbox","author":"Szegedy Christian","year":"2015","unstructured":"Christian Szegedy , Wei Liu , Yangqing Jia , Pierre Sermanet , Scott Reed , Dragomir Anguelov , Dumitru Erhan , Vincent Vanhoucke , Andrew Rabinovich , et almbox . 2015 . Going deeper with convolutions. Cvpr . Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich, et almbox. 2015. Going deeper with convolutions. Cvpr."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123279"},{"key":"e_1_3_2_1_27_1","volume-title":"Deep representation learning with part loss for person re-identification. arXiv preprint arXiv:1707.00798","author":"Yao Hantao","year":"2017","unstructured":"Hantao Yao , Shiliang Zhang , Yongdong Zhang , Jintao Li , and Qi Tian . 2017. Deep representation learning with part loss for person re-identification. arXiv preprint arXiv:1707.00798 ( 2017 ). Hantao Yao, Shiliang Zhang, Yongdong Zhang, Jintao Li, and Qi Tian. 2017. Deep representation learning with part loss for person re-identification. arXiv preprint arXiv:1707.00798 (2017)."},{"key":"e_1_3_2_1_28_1","volume-title":"Dualgan: Unsupervised dual learning for image-to-image translation. arXiv preprint","author":"Yi Zili","year":"2017","unstructured":"Zili Yi , Hao Zhang , Ping Tan , and Minglun Gong . 2017 . Dualgan: Unsupervised dual learning for image-to-image translation. arXiv preprint (2017). Zili Yi, Hao Zhang, Ping Tan, and Minglun Gong. 2017. Dualgan: Unsupervised dual learning for image-to-image translation. arXiv preprint (2017)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.93"},{"key":"e_1_3_2_1_30_1","volume-title":"Sketch-a-net that beats humans. arXiv preprint arXiv:1501.07873","author":"Yu Qian","year":"2015","unstructured":"Qian Yu , Yongxin Yang , Yi-Zhe Song , Tao Xiang , and Timothy Hospedales . 2015. Sketch-a-net that beats humans. arXiv preprint arXiv:1501.07873 ( 2015 ). Qian Yu, Yongxin Yang, Yi-Zhe Song, Tao Xiang, and Timothy Hospedales. 2015. Sketch-a-net that beats humans. arXiv preprint arXiv:1501.07873 (2015)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.125"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995324"},{"key":"e_1_3_2_1_33_1","volume-title":"Alignedreid: Surpassing human-level performance in person re-identification. arXiv preprint arXiv:1711.08184","author":"Zhang Xuan","year":"2017","unstructured":"Xuan Zhang , Hao Luo , Xing Fan , Weilai Xiang , Yixiao Sun , Qiqi Xiao , Wei Jiang , Chi Zhang , and Jian Sun . 2017 . Alignedreid: Surpassing human-level performance in person re-identification. arXiv preprint arXiv:1711.08184 (2017). Xuan Zhang, Hao Luo, Xing Fan, Weilai Xiang, Yixiao Sun, Qiqi Xiao, Wei Jiang, Chi Zhang, and Jian Sun. 2017. Alignedreid: Surpassing human-level performance in person re-identification. arXiv preprint arXiv:1711.08184 (2017)."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.103"},{"key":"e_1_3_2_1_35_1","volume-title":"Pose invariant embedding for deep person re-identification. arXiv preprint arXiv:1701.07732","author":"Zheng Liang","year":"2017","unstructured":"Liang Zheng , Yujia Huang , Huchuan Lu , and Yi Yang . 2017a. Pose invariant embedding for deep person re-identification. arXiv preprint arXiv:1701.07732 ( 2017 ). Liang Zheng, Yujia Huang, Huchuan Lu, and Yi Yang. 2017a. Pose invariant embedding for deep person re-identification. arXiv preprint arXiv:1701.07732 (2017)."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.5555\/2919332.2919877"},{"key":"e_1_3_2_1_37_1","volume-title":"Unlabeled samples generated by gan improve the person re-identification baseline in vitro. arXiv preprint arXiv:1701.07717","author":"Zheng Zhedong","year":"2017","unstructured":"Zhedong Zheng , Liang Zheng , and Yi Yang . 2017b. Unlabeled samples generated by gan improve the person re-identification baseline in vitro. arXiv preprint arXiv:1701.07717 , Vol. 3 ( 2017 ). Zhedong Zheng, Liang Zheng, and Yi Yang. 2017b. Unlabeled samples generated by gan improve the person re-identification baseline in vitro. arXiv preprint arXiv:1701.07717 , Vol. 3 (2017)."},{"key":"e_1_3_2_1_38_1","volume-title":"Unpaired image-to-image translation using cycle-consistent adversarial networks. arXiv preprint arXiv:1703.10593","author":"Zhu Jun-Yan","year":"2017","unstructured":"Jun-Yan Zhu , Taesung Park , Phillip Isola , and Alexei A Efros . 2017. Unpaired image-to-image translation using cycle-consistent adversarial networks. arXiv preprint arXiv:1703.10593 ( 2017 ). Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros. 2017. Unpaired image-to-image translation using cycle-consistent adversarial networks. arXiv preprint arXiv:1703.10593 (2017)."}],"event":{"name":"MM '18: ACM Multimedia Conference","location":"Seoul Republic of Korea","acronym":"MM '18","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 26th ACM international conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3240508.3240606","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3240508.3240606","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:57:34Z","timestamp":1750193854000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3240508.3240606"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,15]]},"references-count":38,"alternative-id":["10.1145\/3240508.3240606","10.1145\/3240508"],"URL":"https:\/\/doi.org\/10.1145\/3240508.3240606","relation":{},"subject":[],"published":{"date-parts":[[2018,10,15]]},"assertion":[{"value":"2018-10-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}