{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T07:28:17Z","timestamp":1753601297926,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,23]]},"DOI":"10.1109\/icassp43922.2022.9747376","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T19:50:34Z","timestamp":1651089034000},"page":"3728-3732","source":"Crossref","is-referenced-by-count":11,"title":["Video Anomaly Detection via Prediction Network with Enhanced Spatio-Temporal Memory Exchange"],"prefix":"10.1109","author":[{"given":"Guodong","family":"Shen","sequence":"first","affiliation":[{"name":"University of Warwick,Department of Computer Science,Coventry,UK"}]},{"given":"Yuqi","family":"Ouyang","sequence":"additional","affiliation":[{"name":"University of Warwick,Department of Computer Science,Coventry,UK"}]},{"given":"Victor","family":"Sanchez","sequence":"additional","affiliation":[{"name":"University of Warwick,Department of Computer Science,Coventry,UK"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2948286"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2950530"},{"article-title":"Long-term forecasting using tensor-train rnns","year":"2017","author":"yu","key":"ref12"},{"key":"ref13","first-page":"879","article-title":"Predrnn: Recurrent neural networks for predictive learning using spatiotemporal lstms","author":"wang","year":"2017","journal-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2005.06.042"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"2673","DOI":"10.1109\/78.650093","article-title":"Bidirectional recurrent neural networks","volume":"45","author":"schuster","year":"1997","journal-title":"IEEE Transactions on Signal Processing"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2017.10.011"},{"key":"ref17","first-page":"1957","article-title":"Attention in convolutional lstm for gesture recognition","author":"zhang","year":"2018","journal-title":"Proceedings of the 32Nd International Conference on Neural Information Processing Systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1109\/TCI.2016.2644865","article-title":"Loss functions for image restoration with neural networks","volume":"3","author":"zhao","year":"2016","journal-title":"IEEE Transactions on Computational Imaging"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00684"},{"key":"ref3","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2020.103915"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICME46284.2020.9102894"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2017.8019325"},{"key":"ref7","first-page":"802","article-title":"Convolutional lstm network: A machine learning approach for precipitation nowcasting","author":"xingjian","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412694"},{"key":"ref1","first-page":"14183","article-title":"Old is gold: Redefining the adversarially learned one-class classifier training paradigm","author":"zaheer","year":"2020","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451070"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539872"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.45"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.338"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2022,5,23]]},"location":"Singapore, Singapore","end":{"date-parts":[[2022,5,27]]}},"container-title":["ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9745891\/9746004\/09747376.pdf?arnumber=9747376","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T20:05:23Z","timestamp":1660593923000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9747376\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9747376","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}