{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T14:27:07Z","timestamp":1787236027926,"version":"build-2736575974"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003816","name":"Huawei Technologies","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003816","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tip.2023.3309108","type":"journal-article","created":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T13:45:20Z","timestamp":1693489520000},"page":"4977-4988","source":"Crossref","is-referenced-by-count":12,"title":["Test-Time Adaptation for Optical Flow Estimation Using Motion Vectors"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1356-449X","authenticated-orcid":false,"given":"Seyed Mehdi","family":"Ayyoubzadeh","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, McMaster University, Hamilton, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wentao","family":"Liu","sequence":"additional","affiliation":[{"name":"Huawei Technologies Company Ltd., Toronto, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Irina","family":"Kezele","sequence":"additional","affiliation":[{"name":"Huawei Technologies Company Ltd., Toronto, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8176-9716","authenticated-orcid":false,"given":"Yuanhao","family":"Yu","sequence":"additional","affiliation":[{"name":"Huawei Technologies Company Ltd., Toronto, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0103-5374","authenticated-orcid":false,"given":"Xiaolin","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, McMaster University, Hamilton, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9447-1791","authenticated-orcid":false,"given":"Yang","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Manitoba, Winnipeg, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tang","family":"Jin","sequence":"additional","affiliation":[{"name":"Huawei Technologies Company Ltd., Toronto, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01648"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0644-x"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01367"},{"key":"ref12","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref59","first-page":"1","article-title":"Tent: Fully test-time adaptation by entropy minimization","author":"wang","year":"2021","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00388"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.316"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00902"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00264"},{"key":"ref55","first-page":"102:1","article-title":"MV2Flow: Learning motion representation for fast compressed video action recognition","volume":"16","author":"hu","year":"2021","journal-title":"ACM Trans Multimedia Comput Commun Appl (TOMM)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.5594\/M001518"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01151"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221191"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298720"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298925"},{"key":"ref19","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention—MICCAI"},{"key":"ref18","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent (MICCAI)"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00631"},{"key":"ref50","first-page":"1","article-title":"Self-supervised learning of compressed video representations","author":"yu","year":"2020","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref46","first-page":"9229","article-title":"Test-time training with self-supervision for generalization under distribution shifts","author":"sun","year":"2020","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_33"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2985866"},{"key":"ref47","first-page":"402","article-title":"RAFT: Recurrent all-pairs field transforms for optical flow","author":"teed","year":"2021","journal-title":"Proc 30th Int Joint Conf Artif Intell"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413504"},{"key":"ref41","first-page":"1","article-title":"Volumetric correspondence networks for optical flow","volume":"32","author":"yang","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst (NeurIPS)"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58586-0_11"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3024646"},{"key":"ref49","first-page":"5824","article-title":"Gradient surgery for multi-task learning","volume":"33","author":"yu","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst (NeurIPS)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33783-3_44"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.143"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45103-X_50"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1049\/ecej:19950606"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24673-2_3"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"560","DOI":"10.1109\/TCSVT.2003.815165","article-title":"overview of the h.264\/avc video coding standard","volume":"13","author":"wiegand","year":"2003","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-01144-2"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00631"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00513"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018770"},{"key":"ref36","article-title":"Compressed video action recognition with refined motion vector","author":"cao","year":"2019","journal-title":"arXiv 1910 02533"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00183"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00854"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00931"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00329"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/S0079-7421(08)60536-8","article-title":"Catastrophic interference in connectionist networks: The sequential learning problem","volume":"24","author":"mccloskey","year":"1989","journal-title":"Psychol Learn Motivat"},{"key":"ref1","first-page":"674","article-title":"An iterative image registration technique with an application to stereo vision","author":"lucas","year":"1981","journal-title":"Proc 7th Int Joint Conf Artif Intell (IJCAI)"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00136"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00470"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.297"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.179"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.213"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICIS.2016.7550880"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.291"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.615"},{"key":"ref60","first-page":"1","article-title":"Fixes that fail: Self-defeating improvements in machine-learning systems","author":"wu","year":"2021","journal-title":"Proc Adv Neural Inf Process Syst (NeurIPS)"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3205375"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9991910\/10236979.pdf?arnumber=10236979","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T14:14:18Z","timestamp":1696256058000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10236979\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":61,"URL":"https:\/\/doi.org\/10.1109\/tip.2023.3309108","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}