{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T23:31:13Z","timestamp":1774567873120,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,6]],"date-time":"2023-12-06T00:00:00Z","timestamp":1701820800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Guangdong Basic and Applied Basic Research Foundation","award":["2021B1515120064, 2021A1515110761"],"award-info":[{"award-number":["2021B1515120064, 2021A1515110761"]}]},{"name":"The Fundamental Research Funds for the Central Universities","award":["N2104027, N2104002"],"award-info":[{"award-number":["N2104027, N2104002"]}]},{"name":"Innovation Fund of Chinese Universities Industry-University-Research","award":["2020HYA06003"],"award-info":[{"award-number":["2020HYA06003"]}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62202087, 62173083"],"award-info":[{"award-number":["62202087, 62173083"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,6]]},"DOI":"10.1145\/3595916.3626421","type":"proceedings-article","created":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T16:34:41Z","timestamp":1704126881000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Prior Knowledge Guided Network for Video Anomaly Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-2216-5955","authenticated-orcid":false,"given":"Zhewen","family":"Deng","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, Northeastern University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0673-6767","authenticated-orcid":false,"given":"Dongyue","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Northeastern University, China and Foshan Graduate School of Innovation, Northeastern University, China and National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6863-8516","authenticated-orcid":false,"given":"Shizhuo","family":"Deng","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Northeastern University, China and Foshan Graduate School of Innovation, Northeastern University, China"}]}],"member":"320","published-online":{"date-parts":[[2024,1]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548199"},{"key":"e_1_3_2_2_2_1","volume-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 9592\u20139600","author":"Bergmann Paul","year":"2019","unstructured":"Paul Bergmann , Michael Fauser , David Sattlegger , and Carsten Steger . 2019 . MVTec AD\u2013A comprehensive real-world dataset for unsupervised anomaly detection . In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 9592\u20139600 . Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger. 2019. MVTec AD\u2013A comprehensive real-world dataset for unsupervised anomaly detection. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 9592\u20139600."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00424"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i2.16177"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00644"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19898"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00179"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_9_1","volume-title":"Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531","author":"Hinton Geoffrey","year":"2015","unstructured":"Geoffrey Hinton , Oriol Vinyals , and Jeff Dean . 2015. Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 ( 2015 ). Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. 2015. Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 (2015)."},{"key":"e_1_3_2_2_10_1","volume-title":"Proceedings, Part XXI 16","author":"Kwon Gukyeong","year":"2020","unstructured":"Gukyeong Kwon , Mohit Prabhushankar , Dogancan Temel , and Ghassan AlRegib . 2020 . Backpropagated gradient representations for anomaly detection. In Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020 , Proceedings, Part XXI 16 . Springer, 206\u2013226. Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, and Ghassan AlRegib. 2020. Backpropagated gradient representations for anomaly detection. In Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XXI 16. Springer, 206\u2013226."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00684"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01333"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.338"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2017.8019325"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.45"},{"key":"e_1_3_2_2_16_1","volume-title":"IEEE","author":"Mahadevan Vijay","year":"2010","unstructured":"Vijay Mahadevan , Weixin Li , Viral Bhalodia , and Nuno Vasconcelos . 2010 . Anomaly detection in crowded scenes. In 2010 IEEE computer society conference on computer vision and pattern recognition . IEEE , 1975\u20131981. Vijay Mahadevan, Weixin Li, Viral Bhalodia, and Nuno Vasconcelos. 2010. Anomaly detection in crowded scenes. In 2010 IEEE computer society conference on computer vision and pattern recognition. IEEE, 1975\u20131981."},{"key":"e_1_3_2_2_17_1","volume-title":"Deep multi-scale video prediction beyond mean square error. arXiv preprint arXiv:1511.05440","author":"Mathieu Michael","year":"2015","unstructured":"Michael Mathieu , Camille Couprie , and Yann LeCun . 2015. Deep multi-scale video prediction beyond mean square error. arXiv preprint arXiv:1511.05440 ( 2015 ). Michael Mathieu, Camille Couprie, and Yann LeCun. 2015. Deep multi-scale video prediction beyond mean square error. arXiv preprint arXiv:1511.05440 (2015)."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00136"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01438"},{"key":"e_1_3_2_2_20_1","volume-title":"U-net: Convolutional networks for biomedical image segmentation. In Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference","author":"Ronneberger Olaf","year":"2015","unstructured":"Olaf Ronneberger , Philipp Fischer , and Thomas Brox . 2015 . U-net: Convolutional networks for biomedical image segmentation. In Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference , Munich, Germany, October 5-9, 2015, Proceedings, Part III 18. Springer , 234\u2013241. Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015. U-net: Convolutional networks for biomedical image segmentation. In Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18. Springer, 234\u2013241."},{"key":"e_1_3_2_2_21_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman . 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 ( 2014 ). Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548091"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00032"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01402"},{"key":"e_1_3_2_2_26_1","volume-title":"Proceedings of the Asian conference on computer vision.","author":"Yi Jihun","year":"2020","unstructured":"Jihun Yi and Sungroh Yoon . 2020 . Patch svdd: Patch-level svdd for anomaly detection and segmentation . In Proceedings of the Asian conference on computer vision. Jihun Yi and Sungroh Yoon. 2020. Patch svdd: Patch-level svdd for anomaly detection and segmentation. In Proceedings of the Asian conference on computer vision."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413973"},{"key":"e_1_3_2_2_28_1","volume-title":"Wide residual networks. arXiv preprint arXiv:1605.07146","author":"Zagoruyko Sergey","year":"2016","unstructured":"Sergey Zagoruyko and Nikos Komodakis . 2016. Wide residual networks. arXiv preprint arXiv:1605.07146 ( 2016 ). Sergey Zagoruyko and Nikos Komodakis. 2016. Wide residual networks. arXiv preprint arXiv:1605.07146 (2016)."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108336"}],"event":{"name":"MMAsia '23: ACM Multimedia Asia","location":"Tainan Taiwan","acronym":"MMAsia '23","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["ACM Multimedia Asia 2023"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3595916.3626421","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3595916.3626421","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:35:56Z","timestamp":1750178156000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3595916.3626421"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,6]]},"references-count":29,"alternative-id":["10.1145\/3595916.3626421","10.1145\/3595916"],"URL":"https:\/\/doi.org\/10.1145\/3595916.3626421","relation":{},"subject":[],"published":{"date-parts":[[2023,12,6]]},"assertion":[{"value":"2024-01-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}