{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T11:25:44Z","timestamp":1764588344415,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Science and Technology Research Program of Chongqing Municipal Education Commission","award":["KJQN-202100627"],"award-info":[{"award-number":["KJQN-202100627"]}]},{"name":"Special Project on Technological Innovation and Application Development","award":["cstc2020jscx-dxwtB0032"],"award-info":[{"award-number":["cstc2020jscx-dxwtB0032"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62036007, 62102057, 62101084"],"award-info":[{"award-number":["62036007, 62102057, 62101084"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chongqing Excellent Scientist Project","award":["cstc2021ycjh-bgzxm0339"],"award-info":[{"award-number":["cstc2021ycjh-bgzxm0339"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3547994","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:43:01Z","timestamp":1665416581000},"page":"6675-6684","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["ICNet: Joint Alignment and Reconstruction via Iterative Collaboration for Video Super-Resolution"],"prefix":"10.1145","author":[{"given":"Jiaxu","family":"Leng","sequence":"first","affiliation":[{"name":"Chongqing University of Posts and Telecommunications, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jia","family":"Wang","sequence":"additional","affiliation":[{"name":"Chongqing University of Posts and Telecommunications, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinbo","family":"Gao","sequence":"additional","affiliation":[{"name":"Chongqing University of Posts and Telecommunications, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Hu","sequence":"additional","affiliation":[{"name":"Chongqing University of Posts and Telecommunications, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ji","family":"Gan","sequence":"additional","affiliation":[{"name":"Chongqing University of Posts and Telecommunications, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenqiang","family":"Gao","sequence":"additional","affiliation":[{"name":"Chongqing University of Posts and Telecommunications, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Memc-net: Motion estimation and motion compensation driven neural network for video interpolation and enhancement","author":"Bao Wenbo","year":"2019","unstructured":"Wenbo Bao , Wei-Sheng Lai , Xiaoyun Zhang , Zhiyong Gao , and Ming-Hsuan Yang . 2019 . Memc-net: Motion estimation and motion compensation driven neural network for video interpolation and enhancement . IEEE transactions on pattern analysis and machine intelligence (2019). Wenbo Bao, Wei-Sheng Lai, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang. 2019. Memc-net: Motion estimation and motion compensation driven neural network for video interpolation and enhancement. IEEE transactions on pattern analysis and machine intelligence (2019)."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.304"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00491"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_49"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2011.6082986"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00431"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/3298023.3298157"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00402"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00167"},{"key":"e_1_3_2_2_11_1","volume-title":"Bidirectional recurrent convolutional networks for multi-frame super-resolution. Advances in neural information processing systems 28","author":"Huang Yan","year":"2015","unstructured":"Yan Huang , Wei Wang , and Liang Wang . 2015. Bidirectional recurrent convolutional networks for multi-frame super-resolution. Advances in neural information processing systems 28 ( 2015 ), 235--243. Yan Huang, Wei Wang, and Liang Wang. 2015. Bidirectional recurrent convolutional networks for multi-frame super-resolution. Advances in neural information processing systems 28 (2015), 235--243."},{"key":"e_1_3_2_2_12_1","volume-title":"Video super-resolution via bidirectional recurrent convolutional networks","author":"Huang Yan","year":"2017","unstructured":"Yan Huang , Wei Wang , and Liang Wang . 2017. Video super-resolution via bidirectional recurrent convolutional networks . IEEE transactions on pattern analysis and machine intelligence 40, 4 ( 2017 ), 1015--1028. Yan Huang, Wei Wang, and Liang Wang. 2017. Video super-resolution via bidirectional recurrent convolutional networks. IEEE transactions on pattern analysis and machine intelligence 40, 4 (2017), 1015--1028."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_38"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00803"},{"key":"e_1_3_2_2_15_1","volume-title":"Revisiting temporal modeling for video super-resolution. arXiv preprint arXiv:2008.05765","author":"Isobe Takashi","year":"2020","unstructured":"Takashi Isobe , Fang Zhu , Xu Jia , and Shengjin Wang . 2020. Revisiting temporal modeling for video super-resolution. arXiv preprint arXiv:2008.05765 ( 2020 ). Takashi Isobe, Fang Zhu, Xu Jia, and Shengjin Wang. 2020. Revisiting temporal modeling for video super-resolution. arXiv preprint arXiv:2008.05765 (2020)."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00340"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2532323"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_7"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2877334"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2972118"},{"key":"e_1_3_2_2_21_1","volume-title":"European Conference on Computer Vision. Springer, 335--351","author":"Li Wenbo","year":"2020","unstructured":"Wenbo Li , Xin Tao , Taian Guo , Lu Qi , Jiangbo Lu , and Jiaya Jia . 2020 . Mucan: Multicorrespondence aggregation network for video super-resolution . In European Conference on Computer Vision. Springer, 335--351 . Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, and Jiaya Jia. 2020. Mucan: Multicorrespondence aggregation network for video super-resolution. In European Conference on Computer Vision. Springer, 335--351."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"e_1_3_2_2_23_1","volume-title":"On Bayesian adaptive video super resolution","author":"Liu Ce","year":"2013","unstructured":"Ce Liu and Deqing Sun . 2013. On Bayesian adaptive video super resolution . IEEE transactions on pattern analysis and machine intelligence 36, 2 ( 2013 ), 346--360. Ce Liu and Deqing Sun. 2013. On Bayesian adaptive video super resolution. IEEE transactions on pattern analysis and machine intelligence 36, 2 (2013), 346--360."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.274"},{"key":"e_1_3_2_2_25_1","volume-title":"Rethinking Skip Connection with Layer Normalization in Transformers and ResNets. arXiv preprint arXiv:2105.07205","author":"Liu Fenglin","year":"2021","unstructured":"Fenglin Liu , Xuancheng Ren , Zhiyuan Zhang , Xu Sun , and Yuexian Zou . 2021. Rethinking Skip Connection with Layer Normalization in Transformers and ResNets. arXiv preprint arXiv:2105.07205 ( 2021 ). Fenglin Liu, Xuancheng Ren, Zhiyuan Zhang, Xu Sun, and Yuexian Zou. 2021. Rethinking Skip Connection with Layer Normalization in Transformers and ResNets. arXiv preprint arXiv:2105.07205 (2021)."},{"key":"e_1_3_2_2_26_1","volume-title":"Large motion video super-resolution with dual subnet and multi-stage communicated upsampling. arXiv preprint arXiv:2103.11744","author":"Liu Hongying","year":"2021","unstructured":"Hongying Liu , Peng Zhao , Zhubo Ruan , Fanhua Shang , and Yuanyuan Liu . 2021. Large motion video super-resolution with dual subnet and multi-stage communicated upsampling. arXiv preprint arXiv:2103.11744 ( 2021 ). Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, and Yuanyuan Liu. 2021. Large motion video super-resolution with dual subnet and multi-stage communicated upsampling. arXiv preprint arXiv:2103.11744 (2021)."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413587"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00251"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00324"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-67070-2_28"},{"key":"e_1_3_2_2_31_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 6626--6634","author":"Sajjadi Mehdi SM","year":"2018","unstructured":"Mehdi SM Sajjadi , Raviteja Vemulapalli , and Matthew Brown . 2018 . Framerecurrent video super-resolution . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 6626--6634 . Mehdi SM Sajjadi, Raviteja Vemulapalli, and Matthew Brown. 2018. Framerecurrent video super-resolution. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 6626--6634."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093572"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3056868"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108577"},{"key":"e_1_3_2_2_35_1","volume-title":"Proceedings of the IEEE International Conference on Computer Vision. 4472--4480","author":"Tao Xin","year":"2017","unstructured":"Xin Tao , Hongyun Gao , Renjie Liao , Jue Wang , and Jiaya Jia . 2017 . Detailrevealing deep video super-resolution . In Proceedings of the IEEE International Conference on Computer Vision. 4472--4480 . Xin Tao, Hongyun Gao, Renjie Liao, Jue Wang, and Jiaya Jia. 2017. Detailrevealing deep video super-resolution. In Proceedings of the IEEE International Conference on Computer Vision. 4472--4480."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00342"},{"volume-title":"Asian Conference on Computer Vision.","author":"Wang L.","key":"e_1_3_2_2_37_1","unstructured":"L. Wang , Y Guo , Z. Lin , X. Deng , and W. An . 2018. Learning for Video Super-Resolution through HR Optical Flow Estimation . In Asian Conference on Computer Vision. L. Wang, Y Guo, Z. Lin, X. Deng, and W. An. 2018. Learning for Video Super-Resolution through HR Optical Flow Estimation. In Asian Conference on Computer Vision."},{"key":"e_1_3_2_2_38_1","volume-title":"Asian Conference on Computer Vision. Springer, 514--529","author":"Wang Longguang","year":"2018","unstructured":"Longguang Wang , Yulan Guo , Zaiping Lin , Xinpu Deng , and Wei An . 2018 . Learning for video super-resolution through HR optical flow estimation . In Asian Conference on Computer Vision. Springer, 514--529 . Longguang Wang, Yulan Guo, Zaiping Lin, Xinpu Deng, and Wei An. 2018. Learning for video super-resolution through HR optical flow estimation. In Asian Conference on Computer Vision. Springer, 514--529."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00247"},{"key":"e_1_3_2_2_40_1","volume-title":"Image quality assessment: from error visibility to structural similarity","author":"Wang Zhou","year":"2004","unstructured":"Zhou Wang , Alan C Bovik , Hamid R Sheikh , and Eero P Simoncelli . 2004. Image quality assessment: from error visibility to structural similarity . IEEE transactions on image processing 13, 4 ( 2004 ), 600--612. Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli. 2004. Image quality assessment: from error visibility to structural similarity. IEEE transactions on image processing 13, 4 (2004), 600--612."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2887017"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00235"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3058590"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-01144-2"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015597"},{"key":"e_1_3_2_2_46_1","volume-title":"A progressive fusion generative adversarial network for realistic and consistent video super-resolution","author":"Yi Peng","year":"2020","unstructured":"Peng Yi , Zhongyuan Wang , Kui Jiang , Junjun Jiang , Tao Lu , and Jiayi Ma. 2020. A progressive fusion generative adversarial network for realistic and consistent video super-resolution . IEEE Transactions on Pattern Analysis and Machine Intelligence ( 2020 ). Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, and Jiayi Ma. 2020. A progressive fusion generative adversarial network for realistic and consistent video super-resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence (2020)."},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"crossref","unstructured":"P. Yi Z.Wang K. Jiang J. Jiang T. Lu X. Tian and J. Ma. 2021. Omniscient Video Super-Resolution. arXiv preprint arXiv:2013.15683 (2021).  P. Yi Z.Wang K. Jiang J. Jiang T. Lu X. Tian and J. Ma. 2021. Omniscient Video Super-Resolution. arXiv preprint arXiv:2013.15683 (2021).","DOI":"10.1109\/ICCV48922.2021.00439"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00953"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107619"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015981"}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Lisboa Portugal","acronym":"MM '22"},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3547994","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3547994","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:29Z","timestamp":1750186949000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3547994"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":51,"alternative-id":["10.1145\/3503161.3547994","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3547994","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}