{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T15:30:37Z","timestamp":1778081437208,"version":"3.51.4"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T00:00:00Z","timestamp":1693785600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T00:00:00Z","timestamp":1693785600000},"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":[[2023,9,4]]},"DOI":"10.23919\/eusipco58844.2023.10289748","type":"proceedings-article","created":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T17:55:44Z","timestamp":1698861344000},"page":"561-565","source":"Crossref","is-referenced-by-count":4,"title":["Object Recognition in Atmospheric Turbulence Scenes"],"prefix":"10.23919","author":[{"given":"Disen","family":"Hu","sequence":"first","affiliation":[{"name":"University of Bristol,Visual Information Laboratory,Bristol,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nantheera","family":"Anantrasirichai","sequence":"additional","affiliation":[{"name":"University of Bristol,Visual Information Laboratory,Bristol,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","author":"gao","year":"2019","journal-title":"Atmospheric turbulence removal using convolutional neural network"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2020.3029401"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.4310\/MCGD.2021.v1.n1.a1"},{"key":"ref14","article-title":"Accelerating atmospheric turbu-lence simulation via learned phase-to-space transform","author":"mao","year":"2021","journal-title":"ICCV"},{"key":"ref30","article-title":"YOLOv4: Optimal speed and accuracy of object detection","volume":"abs 2004 10934","author":"bochkovskiy","year":"2020","journal-title":"ArXiv"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451755"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1364\/OE.23.005091"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ISSP.2013.6526887"},{"key":"ref1","article-title":"Artificial intelligence in the creative industries: a review","author":"anantrasirichai","year":"2021","journal-title":"Artificial Intelligence Review"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.97"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2023.05.017"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2018.03.006"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1364\/AO.53.001181"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00349"},{"key":"ref23","article-title":"You only learn one representation: Unified network for multiple tasks","author":"wang","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref26","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"ECCV"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2015.04.010"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2018.01.006"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00841"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00038"},{"key":"ref28","first-page":"770","article-title":"Deep residual learing for image recognition","author":"he","year":"2016","journal-title":"CVPR"},{"key":"ref27","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0733-5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2249078"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2012.6467539"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.19139\/soic.v7i2.432"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/FG47880.2020.00012"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"}],"event":{"name":"2023 31st European Signal Processing Conference (EUSIPCO)","location":"Helsinki, Finland","start":{"date-parts":[[2023,9,4]]},"end":{"date-parts":[[2023,9,8]]}},"container-title":["2023 31st European Signal Processing Conference (EUSIPCO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10289698\/10289713\/10289748.pdf?arnumber=10289748","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T19:19:47Z","timestamp":1701112787000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10289748\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,4]]},"references-count":30,"URL":"https:\/\/doi.org\/10.23919\/eusipco58844.2023.10289748","relation":{},"subject":[],"published":{"date-parts":[[2023,9,4]]}}}