{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T23:49:56Z","timestamp":1771458596443,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Central Government Guides Local Science and Technology Development Fund Projects","award":["236Z0301G"],"award-info":[{"award-number":["236Z0301G"]}]},{"name":"Science Research Project of Hebei Education Department","award":["QN2023186"],"award-info":[{"award-number":["QN2023186"]}]},{"name":"Basic Research Project of Shijiazhuang Municipal Universities in Hebei Province","award":["241791387A"],"award-info":[{"award-number":["241791387A"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,12,3]]},"DOI":"10.1145\/3696409.3700210","type":"proceedings-article","created":{"date-parts":[[2024,12,28]],"date-time":"2024-12-28T09:55:23Z","timestamp":1735379723000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["HSMnet: Hybrid Sampling and Matching Network for DETR-based Person Search"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2792-3403","authenticated-orcid":false,"given":"Zhengjie","family":"Lu","sequence":"first","affiliation":[{"name":"Hebei University, baoding, CN"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4019-7065","authenticated-orcid":false,"given":"Jinjia","family":"Peng","sequence":"additional","affiliation":[{"name":"Hebei University, baoding, CN"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6591-9304","authenticated-orcid":false,"given":"Huibing","family":"Wang","sequence":"additional","affiliation":[{"name":"Dalian Maritime University, dalian, CN"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0398-3618","authenticated-orcid":false,"given":"Qingxuan","family":"Shi","sequence":"additional","affiliation":[{"name":"Hebei University, baoding, CN"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9417-1956","authenticated-orcid":false,"given":"Bin","family":"Wang","sequence":"additional","affiliation":[{"name":"Hebei University, baoding, CN"}]}],"member":"320","published-online":{"date-parts":[[2024,12,28]]},"reference":[{"key":"e_1_3_3_1_2_2","unstructured":"Zhi Cai Songtao Liu Guodong Wang Zheng Ge Xiangyu Zhang and Di Huang. 2023. Align-detr: Improving detr with simple iou-aware bce loss. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2304.07527 (2023)."},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"crossref","unstructured":"Jiale Cao Yanwei Pang Rao\u00a0Muhammad Anwer Hisham Cholakkal Jin Xie Mubarak Shah and Fahad\u00a0Shahbaz Khan. 2022. PSTR: End-to-End One-Step Person Search With Transformers. Proc. IEEE Conference on Computer Vision and Pattern Recognition (2022).","DOI":"10.1109\/CVPR52688.2022.00924"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov and Sergey Zagoruyko. 2020. End-to-end object detection with transformers. Proc. European Conference on Computer Vision (2020).","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"crossref","unstructured":"Di Chen Shanshan Zhang Wanli Ouyang Jian Yang and Ying Tai. 2018. Person Search via A Mask-Guided Two-Stream CNN Model. Proc. European Conference on Computer Vision (2018).","DOI":"10.1007\/978-3-030-01234-2_45"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"Di Chen Shanshan Zhang Jian Yang and Bernt Schiele. 2020. Norm-Aware Embedding for Efficient Person Search. Proc. IEEE Conference on Computer Vision and Pattern Recognition (2020).","DOI":"10.1109\/CVPR42600.2020.01263"},{"key":"e_1_3_3_1_7_2","unstructured":"Kai Chen Jiaqi Wang Jiangmiao Pang Yuhang Cao Yu Xiong Xiaoxiao Li Shuyang Sun Wansen Feng Ziwei Liu Jiarui Xu Zheng Zhang Dazhi Cheng Chenchen Zhu Tianheng Cheng Qijie Zhao Buyu Li Xin Lu Rui Zhu Yue Wu Jifeng Dai Jingdong Wang Jianping Shi Wanli Ouyang Chen\u00a0Change Loy and Dahua Lin. 2019. MMDetection: Open MMLab Detection Toolbox and Benchmark. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1906.07155 (2019)."},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-8070-3_18"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-97-2238-9_9"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"Wenkai Dong Zhaoxiang Zhang Chunfeng Song and Tieniu Tan. 2020. Instance guided proposal network for person search. Proc. IEEE Conference on Computer Vision and Pattern Recognition (2020).","DOI":"10.1109\/CVPR42600.2020.00266"},{"key":"e_1_3_3_1_11_2","unstructured":"Byeong-Ju Han Kuhyeun Ko and Jae-Young Sim. 2021. End-to-End Trainable Trident Person Search Network Using Adaptive Gradient Propagation. Proc. IEEE International Conference on Computer Vision (2021)."},{"key":"e_1_3_3_1_12_2","unstructured":"Chuchu Han Jiacheng Ye Yunshan Zhong Xin Tan Chi Zhang Changxin Gao and Nong Sang. 2019. Re-id driven localization refinement for person search. Proc. IEEE International Conference on Computer Vision (2019)."},{"key":"e_1_3_3_1_13_2","unstructured":"Chuchu Han Zhedong Zheng Changxin Gao Nong Sang and Yi Yang. 2021. Decoupled and memory-reinforced networks: Towards effective feature learning for one-step person search. Proc. AAAI Conference on Artificial Intelligence (2021)."},{"key":"e_1_3_3_1_14_2","unstructured":"Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep Residual Learning for Image Recognition. Proc. IEEE Conference on Computer Vision and Pattern Recognition (2016)."},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01887"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Xu Lan Xiatian Zhu and Shaogang Gong. 2018. Person Search by Multi-Scale Matching. Proc. European Conference on Computer Vision (2018).","DOI":"10.1007\/978-3-030-01246-5_33"},{"key":"e_1_3_3_1_17_2","unstructured":"Sanghoon Lee Youngmin Oh Donghyeon Baek Junghyup Lee and Bumsub Ham. 2022. OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search. Proc. European Conference on Computer Vision (2022)."},{"key":"e_1_3_3_1_18_2","unstructured":"Zhengjia Li and Duoqian Miao. 2021. Sequential End-to-End Network for Efficient Person Search. Proc. AAAI Conference on Artificial Intelligence (2021)."},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"crossref","unstructured":"Hao Liu Jiashi Feng Zequn Jie Jayashree Karlekar Bo Zhao Meibin Qi Jianguo Jiang and Shuicheng Yan. 2017. Neural person search machines. Proc. IEEE International Conference on Computer Vision (2017).","DOI":"10.1109\/ICCV.2017.61"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"crossref","unstructured":"Bharti Munjal Sikandar Amin Federico Tombari and Fabio Galasso. 2019. Query-guided End-to-End Person Search. Proc. IEEE Conference on Computer Vision and Pattern Recognition (2019).","DOI":"10.1109\/CVPR.2019.00090"},{"key":"e_1_3_3_1_22_2","unstructured":"Shaoqing Ren Kaiming He Ross Girshick and Jian Sun. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. Proc. Advances in Neural Information Processing Systems (2015)."},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"crossref","unstructured":"Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael Bernstein Alexander\u00a0C. Berg and Li Fei-Fei. 2015. ImageNet large scale visual recognition challenge. International Journal of Computer Vision 115 (2015) 211\u2013252.","DOI":"10.1007\/s11263-015-0816-y"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"crossref","unstructured":"Cheng Wang Bingpeng Ma Hong Chang Shiguang Shan and Xilin Chen. 2020. TCTS: A Task-Consistent Two-stage Framework for Person Search. Proc. IEEE Conference on Computer Vision and Pattern Recognition (2020).","DOI":"10.1109\/CVPR42600.2020.01197"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"crossref","unstructured":"Cheng Wang Bingpeng Ma Hong Chang Shiguang Shan and Xilin Chen. 2022. Person search by a bi-directional task-consistent learning model. IEEE Transactions on Multimedia 25 (2022) 1190\u20131203.","DOI":"10.1109\/TMM.2021.3140025"},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"crossref","unstructured":"Guanan Wang Shuo Yang Huanyu Liu Zhicheng Wang Yang Yang Shuliang Wang Gang Yu Erjin Zhou and Jian Sun. 2020. High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification. Proc. IEEE Conference on Computer Vision and Pattern Recognition (2020).","DOI":"10.1109\/CVPR42600.2020.00648"},{"key":"e_1_3_3_1_27_2","unstructured":"Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo and Ling Shao. 2021. PVTv2: Improved Baselines with Pyramid Vision Transformer. arXiv:https:\/\/arXiv.org\/abs\/2106.13797 (2021)."},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"crossref","unstructured":"Yaqing Wang Quanming Yao James\u00a0T Kwok and Lionel\u00a0M Ni. 2020. Generalizing from a few examples: A survey on few-shot learning. ACM computing surveys (csur) 53 3 (2020) 1\u201334.","DOI":"10.1145\/3386252"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"crossref","unstructured":"Jimin Xiao Yanchun Xie Tammam Tillo Kaizhu Huang Yunchao Wei and Jiashi Feng. 2019. IAN: The Individual Aggregation Network for Person Search. Pattern Recognition (2019).","DOI":"10.1016\/j.patcog.2018.10.028"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"crossref","unstructured":"Tong Xiao Shuang Li Bochao Wang Liang Lin and Xiaogang Wang. 2017. Joint detection and identification feature learning for person search. Proc. IEEE Conference on Computer Vision and Pattern Recognition (2017).","DOI":"10.1109\/CVPR.2017.360"},{"key":"e_1_3_3_1_31_2","unstructured":"Yichao Yan Jingpeng Li Jie Qin Song Bai Shengcai Liao Li Liu Fan Zhu and Ling Shao. 2021. Anchor-Free Person Search. Proc. IEEE Conference on Computer Vision and Pattern Recognition (2021)."},{"key":"e_1_3_3_1_32_2","unstructured":"Yichao Yan Qiang Zhang Bingbing Ni Wendong Zhang Minghao Xu and Xiaokang Yang. 2019. Learning Context Graph for Person Search. Proc. IEEE Conference on Computer Vision and Pattern Recognition (2019)."},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"publisher","unstructured":"Rui Yao Cunyuan Gao Shixiong Xia Jiaqi Zhao Yong Zhou and Fuyuan Hu. 2020. GAN-based person search via deep complementary classifier with center-constrained Triplet loss. Pattern Recognition 104 (2020) 107350. 10.1016\/j.patcog.2020.107350","DOI":"10.1016\/j.patcog.2020.107350"},{"key":"e_1_3_3_1_34_2","doi-asserted-by":"crossref","unstructured":"Rui Yu Dawei Du Rodney LaLonde Daniel Davila Christopher Funk Anthony Hoogs and Brian Clipp. 2022. Cascade Transformers for End-to-End Person Search. Proc. IEEE Conference on Computer Vision and Pattern Recognition (2022).","DOI":"10.1109\/CVPR52688.2022.00712"},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"crossref","unstructured":"Liang Zheng Hengheng Zhang Shaoyan Sun Manmohan Chandraker Yi Yang and Qi Tian. 2017. Person re-identification in the wild. Proc. IEEE Conference on Computer Vision and Pattern Recognition (2017).","DOI":"10.1109\/CVPR.2017.357"},{"key":"e_1_3_3_1_36_2","doi-asserted-by":"crossref","unstructured":"Yingji Zhong Xiaoyu Wang and Shiliang Zhang. 2020. Robust Partial Matching for Person Search in the Wild. Proc. IEEE Conference on Computer Vision and Pattern Recognition (2020).","DOI":"10.1109\/CVPR42600.2020.00686"},{"key":"e_1_3_3_1_37_2","unstructured":"Xizhou Zhu Weijie Su Lewei Lu Bin Li Xiaogang Wang and Jifeng Dai. 2020. Deformable DETR: Deformable Transformers for End-to-End Object Detection. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2010.04159 (2020)."},{"key":"e_1_3_3_1_38_2","unstructured":"Xizhou Zhu Weijie Su Lewei Lu Bin Li Xiaogang Wang and Jifeng Dai. 2021. Deformable DETR: Deformable Transformers for End-to-End Object Detection. Proc. International Conference on Learning Representations (2021)."}],"event":{"name":"MMAsia '24: ACM Multimedia Asia","location":"Auckland New Zealand","acronym":"MMAsia '24","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 6th ACM International Conference on Multimedia in Asia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696409.3700210","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3696409.3700210","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:10:15Z","timestamp":1750295415000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696409.3700210"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,3]]},"references-count":37,"alternative-id":["10.1145\/3696409.3700210","10.1145\/3696409"],"URL":"https:\/\/doi.org\/10.1145\/3696409.3700210","relation":{},"subject":[],"published":{"date-parts":[[2024,12,3]]},"assertion":[{"value":"2024-12-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}