{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T03:56:30Z","timestamp":1769572590153,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T00:00:00Z","timestamp":1730073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176224"],"award-info":[{"award-number":["62176224"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,28]]},"DOI":"10.1145\/3664647.3681637","type":"proceedings-article","created":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T06:59:49Z","timestamp":1729925989000},"page":"5874-5882","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["SkipVSR: Adaptive Patch Routing for Video Super-Resolution with Inter-Frame Mask"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1585-2014","authenticated-orcid":false,"given":"Zekun","family":"Ai","sequence":"first","affiliation":[{"name":"School of Informatics, Xiamen University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6718-7330","authenticated-orcid":false,"given":"Xiaotong","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Informatics, Xiamen Univeristy, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8926-4162","authenticated-orcid":false,"given":"Yanyun","family":"Qu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6945-7437","authenticated-orcid":false,"given":"Yuan","family":"Xie","sequence":"additional","affiliation":[{"name":"East China Normal University & Chongqing Institute of East China Normal University, Shanghai, China"}]}],"member":"320","published-online":{"date-parts":[[2024,10,28]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Jose Caballero Christian Ledig Andrew Aitken Alejandro Acosta Johannes Totz Zehan Wang and Wenzhe Shi. 2017. Real-time video super-resolution with spatio-temporal networks and motion compensation. In CVPR.","DOI":"10.1109\/CVPR.2017.304"},{"key":"e_1_3_2_1_2_1","unstructured":"Kelvin CK Chan Xintao Wang Ke Yu Chao Dong and Chen Change Loy. 2021. BasicVSR: The search for essential components in video super-resolution and beyond. In CVPR."},{"key":"e_1_3_2_1_3_1","volume-title":"BasicVSR: Improving video super-resolution with enhanced propagation and alignment. arXiv preprint arXiv:2104.13371","author":"Chan Kelvin CK","year":"2021","unstructured":"Kelvin CK Chan, Shangchen Zhou, Xiangyu Xu, and Chen Change Loy. 2021. BasicVSR: Improving video super-resolution with enhanced propagation and alignment. arXiv preprint arXiv:2104.13371 (2021)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Jifeng Dai Haozhi Qi Yuwen Xiong Yi Li Guodong Zhang Han Hu and Yichen Wei. 2017. Deformable convolutional networks. In ICCV.","DOI":"10.1109\/ICCV.2017.89"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Dario Fuoli Shuhang Gu and Radu Timofte. 2019. Efficient video super-resolution through recurrent latent space propagation. In ICCVW.","DOI":"10.1109\/ICCVW.2019.00431"},{"key":"e_1_3_2_1_6_1","volume-title":"Dynamic neural networks: A survey. TPAMI","author":"Han Yizeng","year":"2021","unstructured":"Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, and Yulin Wang. 2021. Dynamic neural networks: A survey. TPAMI (2021)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Muhammad Haris Gregory Shakhnarovich and Norimichi Ukita. 2019. Recurrent back-projection network for video super-resolution. In CVPR.","DOI":"10.1109\/CVPR.2019.00402"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Takashi Isobe Xu Jia Shuhang Gu Songjiang Li Shengjin Wang and Qi Tian. 2020. Video super-resolution with recurrent structure-detail network. In ECCV.","DOI":"10.1007\/978-3-030-58610-2_38"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Takashi Isobe Xu Jia Xin Tao Changlin Li Ruihuang Li Yongjie Shi Jing Mu Huchuan Lu and Yu-Wing Tai. 2022. Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling. In CVPR.","DOI":"10.1109\/CVPR52688.2022.01689"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Takashi Isobe Songjiang Li Xu Jia Shanxin Yuan Gregory Slabaugh Chunjing Xu Ya-Li Li Shengjin Wang and Qi Tian. 2020. Video super-resolution with temporal group attention. In CVPR.","DOI":"10.1109\/CVPR42600.2020.00803"},{"key":"e_1_3_2_1_11_1","unstructured":"Takashi Isobe Fang Zhu Xu Jia and Shengjin Wang. 2020. Revisiting temporal modeling for video super-resolution. In BMVC."},{"key":"e_1_3_2_1_12_1","volume-title":"Jaeyeon Kang, and Seon Joo Kim.","author":"Jo Younghyun","year":"2018","unstructured":"Younghyun Jo, Seoung Wug Oh, Jaeyeon Kang, and Seon Joo Kim. 2018. Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation. In CVPR."},{"key":"e_1_3_2_1_13_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_14_1","volume-title":"Classsr: A general framework to accelerate super-resolution networks by data characteristic. In CVPR.","author":"Kong Xiangtao","year":"2021","unstructured":"Xiangtao Kong, Hengyuan Zhao, Yu Qiao, and Chao Dong. 2021. Classsr: A general framework to accelerate super-resolution networks by data characteristic. In CVPR."},{"key":"e_1_3_2_1_15_1","volume-title":"On Bayesian adaptive video super resolution. TPAMI","author":"Liu Ce","year":"2013","unstructured":"Ce Liu and Deqing Sun. 2013. On Bayesian adaptive video super resolution. TPAMI (2013)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Ding Liu Zhaowen Wang Yuchen Fan Xianming Liu Zhangyang Wang Shiyu Chang and Thomas Huang. 2017. Robust video super-resolution with learned temporal dynamics. In ICCV.","DOI":"10.1109\/ICCV.2017.274"},{"key":"e_1_3_2_1_17_1","volume-title":"Sgdr: Stochastic gradient descent with warm restarts. arXiv preprint arXiv:1608.03983","author":"Loshchilov Ilya","year":"2016","unstructured":"Ilya Loshchilov and Frank Hutter. 2016. Sgdr: Stochastic gradient descent with warm restarts. arXiv preprint arXiv:1608.03983 (2016)."},{"key":"e_1_3_2_1_18_1","unstructured":"Xiaotong Luo Zekun Ai Qiuyuan Liang Ding Liu Yuan Xie Yanyun Qu and Yun Fu. 2024. AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution. In AAAI."},{"key":"e_1_3_2_1_19_1","unstructured":"Xiaotong Luo Qiuyuan Liang Ding Liu and Yanyun Qu. [n. d.]. Boosting Lightweight Single Image Super-resolution via Joint-distillation. In ACM MM 2021."},{"key":"e_1_3_2_1_20_1","volume-title":"Lattice Network for Lightweight Image Restoration. TPAMI","author":"Luo Xiaotong","year":"2023","unstructured":"Xiaotong Luo, Yanyun Qu, Yuan Xie, Yulun Zhang, Cuihua Li, and Yun Fu. 2023. Lattice Network for Lightweight Image Restoration. TPAMI (2023)."},{"key":"e_1_3_2_1_21_1","unstructured":"Xiaotong Luo Yuan Xie and Yanyun Qu. 2023. Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution. In NeurIPS."},{"key":"e_1_3_2_1_22_1","unstructured":"Seungjun Nah Sungyong Baik Seokil Hong Gyeongsik Moon Sanghyun Son Radu Timofte and Kyoung Mu Lee. 2019. Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study. In CVPRW."},{"key":"e_1_3_2_1_23_1","volume":"201","author":"Ranjan Anurag","unstructured":"Anurag Ranjan and Michael J Black. 2017. Optical flow estimation using a spatial pyramid network. In CVPR.","journal-title":"Michael J Black."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Xin Tao Hongyun Gao Renjie Liao Jue Wang and Jiaya Jia. 2017. Detail-revealing deep video super-resolution. In ICCV.","DOI":"10.1109\/ICCV.2017.479"},{"key":"e_1_3_2_1_25_1","volume-title":"Tdan: Temporally-deformable alignment network for video super-resolution. In CVPR.","author":"Tian Yapeng","year":"2020","unstructured":"Yapeng Tian, Yulun Zhang, Yun Fu, and Chenliang Xu. 2020. Tdan: Temporally-deformable alignment network for video super-resolution. In CVPR."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Shizun Wang Jiaming Liu Kaixin Chen Xiaoqi Li Ming Lu and Yandong Guo. 2022. Adaptive patch exiting for scalable single image super-resolution. In ECCV.","DOI":"10.1007\/978-3-031-19797-0_17"},{"key":"e_1_3_2_1_27_1","volume-title":"Ke Yu, Chao Dong, and Chen Change Loy.","author":"Wang Xintao","year":"2019","unstructured":"Xintao Wang, Kelvin CK Chan, Ke Yu, Chao Dong, and Chen Change Loy. 2019. Edvr: Video restoration with enhanced deformable convolutional networks. In CVPRW."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Zeyu Xiao Xueyang Fu Jie Huang Zhen Cheng and Zhiwei Xiong. 2021. Space-time distillation for video super-resolution. In CVPR.","DOI":"10.1109\/CVPR46437.2021.00215"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Zeyu Xiao Zhiwei Xiong Xueyang Fu Dong Liu and Zheng-Jun Zha. 2020. Space-time video super-resolution using temporal profiles. In ACM MM.","DOI":"10.1145\/3394171.3413667"},{"key":"e_1_3_2_1_30_1","volume-title":"Video enhancement with task-oriented flow. IJCV","author":"Xue Tianfan","year":"2019","unstructured":"Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, and William T Freeman. 2019. Video enhancement with task-oriented flow. IJCV (2019)."},{"key":"e_1_3_2_1_31_1","unstructured":"Peng Yi Zhongyuan Wang Kui Jiang Junjun Jiang Tao Lu Xin Tian and Jiayi Ma. 2021. Omniscient video super-resolution. In ICCV."},{"key":"e_1_3_2_1_32_1","unstructured":"Peng Yi Zhongyuan Wang Kui Jiang Junjun Jiang and Jiayi Ma. 2019. Progressive fusion video super-resolution network via exploiting non-local spatio-temporal correlations. In ICCV."},{"key":"e_1_3_2_1_33_1","unstructured":"Jiyang Yu Jingen Liu Liefeng Bo and Tao Mei. 2022. Memory-augmented non-local attention for video super-resolution. In CVPR."},{"key":"e_1_3_2_1_34_1","unstructured":"Sergey Zagoruyko and Nikos Komodakis. 2017. Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. In ICLR."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"Haochen Zhang Dong Liu and Zhiwei Xiong. 2019. Two-stream action recognition-oriented video super-resolution. In ICCV.","DOI":"10.1109\/ICCV.2019.00889"}],"event":{"name":"MM '24: The 32nd ACM International Conference on Multimedia","location":"Melbourne VIC Australia","acronym":"MM '24","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 32nd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3681637","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3664647.3681637","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:17:49Z","timestamp":1750295869000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3681637"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,28]]},"references-count":35,"alternative-id":["10.1145\/3664647.3681637","10.1145\/3664647"],"URL":"https:\/\/doi.org\/10.1145\/3664647.3681637","relation":{},"subject":[],"published":{"date-parts":[[2024,10,28]]},"assertion":[{"value":"2024-10-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}