{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T17:45:18Z","timestamp":1777657518512,"version":"3.51.4"},"reference-count":46,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,6,5]],"date-time":"2022-06-05T00:00:00Z","timestamp":1654387200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,5]],"date-time":"2022-06-05T00:00:00Z","timestamp":1654387200000},"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":[[2022,6,5]]},"DOI":"10.1109\/iv51971.2022.9827175","type":"proceedings-article","created":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T19:33:28Z","timestamp":1658259208000},"page":"1066-1072","source":"Crossref","is-referenced-by-count":7,"title":["ARAGAN: A dRiver Attention estimation model based on conditional Generative Adversarial Network"],"prefix":"10.1109","author":[{"given":"Javier","family":"Araluce","sequence":"first","affiliation":[{"name":"University of Alcal&#x00E1; (UAH),Electronics Department,Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis M.","family":"Bergasa","sequence":"additional","affiliation":[{"name":"University of Alcal&#x00E1; (UAH),Electronics Department,Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manuel","family":"Ocana","sequence":"additional","affiliation":[{"name":"University of Alcal&#x00E1; (UAH),Electronics Department,Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael","family":"Barea","sequence":"additional","affiliation":[{"name":"University of Alcal&#x00E1; (UAH),Electronics Department,Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elena","family":"Lopez-Guillen","sequence":"additional","affiliation":[{"name":"University of Alcal&#x00E1; (UAH),Electronics Department,Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pedro","family":"Revenga","sequence":"additional","affiliation":[{"name":"University of Alcal&#x00E1; (UAH),Electronics Department,Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"5389","article-title":"Do imagenet classifiers generalize to imagenet?","author":"recht","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref33","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2014","journal-title":"arXiv preprint arXiv 1409 0473"},{"key":"ref32","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015","journal-title":"arXiv preprint arXiv 1511 06434"},{"key":"ref31","first-page":"1125","article-title":"Image-to-image translation with conditional adversarial networks","author":"isola","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01293"},{"key":"ref37","first-page":"7354","article-title":"Self-attention generative adversarial networks","author":"zhang","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref36","first-page":"7132","article-title":"Squeeze-and-excitation networks","author":"hu","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1151"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917218"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1140-0"},{"key":"ref11","article-title":"Saliency heat-map as visual attention for autonomous driving using generative adversarial network (gan)","author":"lateef","year":"2021","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"ref12","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref13","article-title":"Swin transformer v2: Scaling up capacity and resolution","author":"liu","year":"2021","journal-title":"arXiv preprint arXiv 2111 02269"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref15","first-page":"740","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.544"},{"key":"ref17","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014","journal-title":"arXiv preprint arXiv 1411 1784"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01268"},{"key":"ref28","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2012.00187"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995828"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/1073858413514136"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1117\/12.469554","article-title":"Gaze-contingent real-time simulation of arbitrary visual fields","volume":"4662","author":"perry","year":"2002","journal-title":"Human Vision and Electronic Imaging VII"},{"key":"ref29","article-title":"Dada: Driver attention prediction in driving accident scenarios","author":"fang","year":"2021","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"ref5","first-page":"2722","article-title":"Deepdriving: Learning affordance for direct perception in autonomous driving","author":"chen","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2845370"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2926042"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2535402"},{"key":"ref9","first-page":"658","article-title":"Predicting driver attention in critical situations","author":"xia","year":"2018","journal-title":"Asian Conference on Computer Vision"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-31895-0_3"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2815601"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_25"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_43"},{"key":"ref22","article-title":"Mit saliency benchmark","author":"bylinskii","year":"2015"},{"key":"ref21","article-title":"Salfbnet: Learning pseudo-saliency distribution via feedback convolutional networks","author":"ding","year":"2021","journal-title":"arXiv preprint arXiv 2112 06814"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-021-04151-2"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.358"},{"key":"ref41","article-title":"The kinetics human action video dataset","author":"kay","year":"2017","journal-title":"arXiv preprint arXiv 1705 06950"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.513"},{"key":"ref44","first-page":"2536","article-title":"Context encoders: Feature learning by inpainting","author":"pathak","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995833"},{"key":"ref43","article-title":"Deep multi-scale video prediction beyond mean square error","author":"mathieu","year":"2015","journal-title":"arXiv preprint arXiv 1511 05271"},{"key":"ref25","article-title":"Cat2000: A large scale fixation dataset for boosting saliency research","author":"borji","year":"2015","journal-title":"CVPR 2015 workshop on &#x201C;Future of Datasets&#x201D;"}],"event":{"name":"2022 IEEE Intelligent Vehicles Symposium (IV)","location":"Aachen, Germany","start":{"date-parts":[[2022,6,4]]},"end":{"date-parts":[[2022,6,9]]}},"container-title":["2022 IEEE Intelligent Vehicles Symposium (IV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9826996\/9826997\/09827175.pdf?arnumber=9827175","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,8]],"date-time":"2022-08-08T20:03:46Z","timestamp":1659989026000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9827175\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,5]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/iv51971.2022.9827175","relation":{},"subject":[],"published":{"date-parts":[[2022,6,5]]}}}