{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,11]],"date-time":"2025-04-11T19:46:20Z","timestamp":1744400780511,"version":"3.37.3"},"reference-count":46,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62106036,61725202,U1903215"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1109\/cvpr52688.2022.01689","type":"proceedings-article","created":{"date-parts":[[2022,9,27]],"date-time":"2022-09-27T19:56:41Z","timestamp":1664308601000},"page":"17390-17399","source":"Crossref","is-referenced-by-count":43,"title":["Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling"],"prefix":"10.1109","author":[{"given":"Takashi","family":"Isobe","sequence":"first","affiliation":[{"name":"Kuaishou Technology"}]},{"given":"Xu","family":"Jia","sequence":"additional","affiliation":[{"name":"Dalian University of Technology"}]},{"given":"Xin","family":"Tao","sequence":"additional","affiliation":[{"name":"Kuaishou Technology"}]},{"given":"Changlin","family":"Li","sequence":"additional","affiliation":[{"name":"Kuaishou Technology"}]},{"given":"Ruihuang","family":"Li","sequence":"additional","affiliation":[{"name":"Hong Kong Polytechnic University"}]},{"given":"Yongjie","family":"Shi","sequence":"additional","affiliation":[{"name":"Peking University"}]},{"given":"Jing","family":"Mu","sequence":"additional","affiliation":[{"name":"Kuaishou Technology"}]},{"given":"Huchuan","family":"Lu","sequence":"additional","affiliation":[{"name":"Dalian University of Technology"}]},{"given":"Yu-Wing","family":"Tai","sequence":"additional","affiliation":[{"name":"Kuaishou Technology"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Temporal segment networks: Towards good practices for deep action recognition","author":"wang","year":"2016","journal-title":"ECCV"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00193"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.291"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00251"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2975931"},{"key":"ref30","article-title":"Sgdr: Stochastic gradient descent with warm restarts","volume":"abs 1608 3983","author":"loshchilov","year":"2016","journal-title":"CoRR"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2958030"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00342"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.479"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00693"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00179"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00247"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00402"},{"key":"ref12","article-title":"Bidirectional recurrent convolutional networks for multi-frame super-resolution","author":"huang","year":"0","journal-title":"NeurIPS 2015"},{"key":"ref13","article-title":"Video super-resolution with recurrent structure-detail network","author":"isobe","year":"2020","journal-title":"ECCV"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00803"},{"key":"ref15","article-title":"Revisiting temporal modeling for video super-resolution","author":"isobe","year":"2020","journal-title":"BMVC"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00768"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00340"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.181"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.274"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i2.16181"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.127"},{"key":"ref3","article-title":"Basicvsr: The search for essential components in video super-resolution and beyond","author":"chan","year":"2020","journal-title":"CVPR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.1994.413553"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i3.16310"},{"key":"ref5","article-title":"Basicvsr++: Improving video super-resolution with enhanced propagation and alignment","author":"chan","year":"2021","journal-title":"cvprw"},{"key":"ref8","article-title":"Fast online video super-resolution with deformable attention pyramid","volume":"abs 2202 1731","author":"fuoli","year":"2022","journal-title":"CoRR"},{"key":"ref7","article-title":"Learning a deep convolutional network for image super-resolution","author":"dong","year":"2014","journal-title":"ECCV"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01402"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00431"},{"key":"ref1","article-title":"Video super-resolution transformer","volume":"abs 2106 6847","author":"cao","year":"2021","journal-title":"CoRR"},{"key":"ref46","article-title":"Image super-resolution using very deep residual channel attention networks","author":"zhang","year":"2018","journal-title":"ECCV"},{"key":"ref20","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"ICLRE"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.3013518"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00214"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.618"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-01144-2"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_20"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01318"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01077"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00320"},{"key":"ref26","article-title":"Fdan: Flow-guided deformable alignment network for video super-resolution","volume":"abs 2105 5640","author":"lin","year":"2021","journal-title":"CoRR"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00439"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00254"}],"event":{"name":"2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","start":{"date-parts":[[2022,6,18]]},"location":"New Orleans, LA, USA","end":{"date-parts":[[2022,6,24]]}},"container-title":["2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9878378\/9878366\/09879078.pdf?arnumber=9879078","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T21:00:15Z","timestamp":1665781215000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9879078\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/cvpr52688.2022.01689","relation":{},"subject":[],"published":{"date-parts":[[2022,6]]}}}