{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T17:54:00Z","timestamp":1790704440073,"version":"4.1.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,8]],"date-time":"2023-10-08T00:00:00Z","timestamp":1696723200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,8]],"date-time":"2023-10-08T00:00:00Z","timestamp":1696723200000},"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":[[2023,10,8]]},"DOI":"10.1109\/icip49359.2023.10222686","type":"proceedings-article","created":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T13:58:31Z","timestamp":1694440711000},"page":"2595-2599","source":"Crossref","is-referenced-by-count":1,"title":["An Inter-Observer Consistent Deep Adversarial Training for Visual Scanpath Prediction"],"prefix":"10.1109","author":[{"given":"Mohamed Amine","family":"Kerkouri","sequence":"first","affiliation":[{"name":"Université d’Orléans,Laboratoire PRISME,Orléans,France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marouane","family":"Tliba","sequence":"additional","affiliation":[{"name":"Université d’Orléans,Laboratoire PRISME,Orléans,France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aladine","family":"Chetouani","sequence":"additional","affiliation":[{"name":"Université d’Orléans,Laboratoire PRISME,Orléans,France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandro","family":"Bruno","sequence":"additional","affiliation":[{"name":"IULM University,Milan,Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.2352\/EI.2022.34.11.HVEI-168"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1049\/icp.2021.1459"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.visres.2014.12.026"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/35058500"},{"key":"ref11","article-title":"Atsal: An attention based architecture for saliency prediction in 360 videos","volume":"abs 2011 10600","author":"dahou djilali","year":"2020","journal-title":"ArXiv"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3588015.3590133"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP.2014.7051526"},{"key":"ref1","author":"itti","year":"2005","journal-title":"Neurobiology of Attention"},{"key":"ref17","article-title":"Gravitational laws of focus of attention","author":"zanca","year":"2019","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref16","first-page":"0","article-title":"Pathgan: visual scanpath prediction with generative adversarial networks","author":"assens","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP42928.2021.9506295"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.03.060"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459462"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298710"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3758\/s13428-012-0212-2"},{"key":"ref25","article-title":"A benchmark of computational models of saliency to predict human fixations","author":"judd","year":"2012","journal-title":"MIT Technical Report"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00160"},{"key":"ref22","article-title":"The relationship between the locations of spatial features and those of fixations made during visual examination of briefly presented images","author":"mannan","year":"1996","journal-title":"Spatial Vision"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3549555.3549597"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3152189"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00027"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.08.010"},{"key":"ref4","first-page":"16589","article-title":"v","volume":"32","author":"el","year":"2020","journal-title":"Neural Comput & Applic"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-5070-6"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/info10020067"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451654"}],"event":{"name":"2023 IEEE International Conference on Image Processing (ICIP)","location":"Kuala Lumpur, Malaysia","start":{"date-parts":[[2023,10,8]]},"end":{"date-parts":[[2023,10,11]]}},"container-title":["2023 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10221937\/10221892\/10222686.pdf?arnumber=10222686","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T11:09:36Z","timestamp":1701256176000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10222686\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,8]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icip49359.2023.10222686","relation":{},"subject":[],"published":{"date-parts":[[2023,10,8]]}}}