{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T22:04:41Z","timestamp":1769637881895,"version":"3.49.0"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61922009"],"award-info":[{"award-number":["61922009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61876013"],"award-info":[{"award-number":["61876013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62050175"],"award-info":[{"award-number":["62050175"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62001016"],"award-info":[{"award-number":["62001016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["JQ20020"],"award-info":[{"award-number":["JQ20020"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2022,11,1]]},"DOI":"10.1109\/tpami.2021.3117019","type":"journal-article","created":{"date-parts":[[2021,10,2]],"date-time":"2021-10-02T02:50:30Z","timestamp":1633143030000},"page":"7563-7580","source":"Crossref","is-referenced-by-count":17,"title":["Hierarchical Bayesian LSTM for Head Trajectory Prediction on Omnidirectional Images"],"prefix":"10.1109","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1889-3113","authenticated-orcid":false,"given":"Li","family":"Yang","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0277-3301","authenticated-orcid":false,"given":"Mai","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3164-9139","authenticated-orcid":false,"given":"Yichen","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4708-6572","authenticated-orcid":false,"given":"Xin","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1225-2067","authenticated-orcid":false,"given":"Fangyuan","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3959-338X","authenticated-orcid":false,"given":"Zhenyu","family":"Guan","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-4097-4"},{"key":"ref2","first-page":"82","article-title":"On the data compression and transmission aspects of panoramic video","volume-title":"Proc. Int. Conf. Image Process.","author":"Ng"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240581"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995423"},{"key":"ref5","article-title":"A probabilistic tour of visual attention and gaze shift computational models","volume":"abs\/1607.01232","author":"Boccignone","year":"2016","journal-title":"CoRR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/34.730558"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.visres.2014.12.026"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2496306"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.16910\/jemr.9.5.2"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00336"},{"key":"ref11","first-page":"834","article-title":"An information-theoretic framework for understanding saccadic eye movements","volume-title":"Proc. 12th Adv. Neural Inf. Process. Syst.","author":"Lee"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296920"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2956930"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2897966"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2018.06.006"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2018.05.010"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1023\/A:1013689704352","article-title":"Finite-time analysis of the multiarmed bandit problem","volume":"47","author":"Auer","year":"2002","journal-title":"Mach. Learn."},{"key":"ref18","first-page":"5998","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"Adv. Neural Info. Process. Syst."},{"key":"ref19","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2021","journal-title":"Proc. Int. Conf. Learn. Representations"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01212"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_20"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3083187.3083218"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2793599"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2017.8026231"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CISS.2017.7926138"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2017.7965634"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3050861"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2018.03.013"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2018.03.006"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2018.03.008"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10339-016-0781-6"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1167\/15.1.14"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2017.8019456"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.visres.2016.01.005"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2722238"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/7286"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1167\/12.8.8"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2337758"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.401"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2003.09.011"},{"key":"ref42","article-title":"Bayesian recurrent neural networks","volume":"abs\/1704.02798","author":"Fortunato","year":"2017","journal-title":"CoRR"},{"key":"ref43","first-page":"1027","article-title":"A theoretically grounded application of dropout in recurrent neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gal"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1030"},{"key":"ref45","first-page":"1613","article-title":"Weight uncertainty in neural networks","author":"Blundell","year":"2015","journal-title":"Int. Conf. Mach. Learn."},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.5555\/3045390.3045502"},{"key":"ref47","article-title":"Bayesian convolutional neural networks","volume":"abs\/1806.05978","author":"Laumann","year":"2018","journal-title":"CoRR"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.56"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2865089"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/355017.355028"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/235815.235821"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3050861"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858783"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.3758\/s13428-012-0212-2"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.86"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-010-9089-5"},{"key":"ref59","article-title":"YOLOv3: An incremental improvement","volume":"abs\/1804.02767","author":"Redmon","year":"2018","journal-title":"CoRR"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.5555\/2986459.2986721"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858783"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.5120\/9910-4506"},{"key":"ref63","article-title":"Moore neighborhood","author":"Weisstein"},{"key":"ref64","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2015","journal-title":"Proc. 3rd Int. Conf. Learn. Representations"},{"key":"ref65","first-page":"26","article-title":"Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude","volume":"4","author":"Tieleman","year":"2012","journal-title":"COURSERA Neural Netw. Mach. Learn."},{"key":"ref66","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2015","journal-title":"Proc. 3rd Int. Conf. Learn. Representations"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74048-3_4"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.3758\/BRM.42.3.692"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/0022-2836(70)90057-4"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3028509"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2018.07.009"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9910240\/09556612.pdf?arnumber=9556612","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:01:49Z","timestamp":1705014109000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9556612\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,1]]},"references-count":69,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2021.3117019","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,1]]}}}