{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T02:15:05Z","timestamp":1778552105442,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T00:00:00Z","timestamp":1702512000000},"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":[[2023,12,14]]},"DOI":"10.1145\/3638884.3638886","type":"proceedings-article","created":{"date-parts":[[2024,4,23]],"date-time":"2024-04-23T12:11:26Z","timestamp":1713874286000},"page":"6-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Multi-scale Pedestrian Detection Based on Attention Mechanism and Feature Fusion"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-2919-8646","authenticated-orcid":false,"given":"Yuanyi","family":"Huang","sequence":"first","affiliation":[{"name":"Department of Computing, Faculty of Engineering, The Hong Kong Polytechnic University, China"}]}],"member":"320","published-online":{"date-parts":[[2024,4,23]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Dollar Piotr \"Pedestrian detection: An evaluation of the state of the art.\" IEEE transactions on pattern analysis and machine intelligence 34.4 (2011): 743-761.","DOI":"10.1109\/TPAMI.2011.155"},{"key":"e_1_3_2_1_2_1","volume-title":"Towards real-time object detection with region proposal networks.\" Advances in neural information processing systems 28","author":"Ren","year":"2015","unstructured":"Ren, Shaoqing, \"Faster r-cnn: Towards real-time object detection with region proposal networks.\" Advances in neural information processing systems 28 (2015)."},{"key":"e_1_3_2_1_3_1","volume-title":"CVPR 2001","volume":"1","author":"Viola","year":"2001","unstructured":"Viola, Paul, and Michael Jones. \"Rapid object detection using a boosted cascade of simple features.\" Proceedings of the 2001 IEEE computer society conference on computer vision and pattern recognition. CVPR 2001. Vol. 1. Ieee, 2001."},{"key":"e_1_3_2_1_4_1","volume-title":"Ieee","author":"Dalal","year":"2005","unstructured":"Dalal, Navneet, and Bill Triggs. \"Histograms of oriented gradients for human detection.\" 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05). Vol. 1. Ieee, 2005."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3102600"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Pang Yanwei \"Mask-guided attention network for occluded pedestrian detection.\" Proceedings of the IEEE\/CVF international conference on computer vision. 2019.","DOI":"10.1109\/ICCV.2019.00507"},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings, Part I 14","author":"Liu","year":"2016","unstructured":"Liu, Wei, \"Ssd: Single shot multibox detector.\" Computer Vision\u2013ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11\u201314, 2016, Proceedings, Part I 14. Springer International Publishing, 2016."},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition.","author":"Hu","year":"2018","unstructured":"Hu, Jie, Li Shen, and Gang Sun. \"Squeeze-and-excitation networks.\" Proceedings of the IEEE conference on computer vision and pattern recognition. 2018."},{"key":"e_1_3_2_1_9_1","volume-title":"Convolutional block attention module.\" Proceedings of the European conference on computer vision (ECCV)","author":"Woo","year":"2018","unstructured":"Woo, Sanghyun, \"Cbam: Convolutional block attention module.\" Proceedings of the European conference on computer vision (ECCV). 2018."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.474"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.155"},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings, Part IV 14","author":"Cai","year":"2016","unstructured":"Cai, Zhaowei, \"A unified multi-scale deep convolutional neural network for fast object detection.\" Computer Vision\u2013ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11\u201314, 2016, Proceedings, Part IV 14. Springer International Publishing, 2016."},{"key":"e_1_3_2_1_13_1","volume-title":"Liu H","author":"Wang S","year":"1804","unstructured":"Wang S, Cheng J, Liu H, PCN: Part and context information for pedestrian detection with CNNs[J]. arXiv preprint arXiv:1804.04483, 2018."},{"key":"e_1_3_2_1_14_1","volume-title":"Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection[C]\/\/2017 IEEE winter conference on applications of computer vision (WACV)","author":"Du X","year":"2017","unstructured":"Du X, El-Khamy M, Lee J, Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection[C]\/\/2017 IEEE winter conference on applications of computer vision (WACV). IEEE, 2017: 953-961."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Lin C Lu J Wang G Graininess-aware deep feature learning for pedestrian detection[C]\/\/Proceedings of the European conference on computer vision (ECCV). 2018: 732-747.","DOI":"10.1007\/978-3-030-01240-3_45"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000013087.49260.fb"},{"key":"e_1_3_2_1_17_1","first-page":"886","article-title":"Histograms of oriented gradients for human detection[C]\/\/2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05)","volume":"1","author":"Dalal N","year":"2005","unstructured":"Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]\/\/2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05). Ieee, 2005, 1: 886-893.","journal-title":"Ieee"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_39"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00811"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_33"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_38"}],"event":{"name":"ICCIP 2023: 2023 the 9th International Conference on Communication and Information Processing","location":"Lingshui China","acronym":"ICCIP 2023"},"container-title":["Proceedings of the 2023 9th International Conference on Communication and Information Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3638884.3638886","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3638884.3638886","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T01:49:29Z","timestamp":1778550569000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3638884.3638886"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,14]]},"references-count":21,"alternative-id":["10.1145\/3638884.3638886","10.1145\/3638884"],"URL":"https:\/\/doi.org\/10.1145\/3638884.3638886","relation":{},"subject":[],"published":{"date-parts":[[2023,12,14]]},"assertion":[{"value":"2024-04-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}