{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:41:24Z","timestamp":1755823284841,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":90,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T00:00:00Z","timestamp":1698278400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Xiamen Ocean and Fisheries Development Special Funds","award":["22CZB013HJ04"],"award-info":[{"award-number":["22CZB013HJ04"]}]},{"name":"Natural Science Foundation of Fujian Province","award":["2021J01867"],"award-info":[{"award-number":["2021J01867"]}]},{"name":"Youth Science and Technology Innovation Program of Xiamen Ocean and Fisheries Development Special Funds","award":["23ZHZB039QCB24"],"award-info":[{"award-number":["23ZHZB039QCB24"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,26]]},"DOI":"10.1145\/3581783.3611742","type":"proceedings-article","created":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T07:27:40Z","timestamp":1698391660000},"page":"4147-4156","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Sequential Affinity Learning for Video Restoration"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8255-2997","authenticated-orcid":false,"given":"Tian","family":"Ye","sequence":"first","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6837-886X","authenticated-orcid":false,"given":"Sixiang","family":"Chen","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9567-5531","authenticated-orcid":false,"given":"Yun","family":"Liu","sequence":"additional","affiliation":[{"name":"Southwest University, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2611-0008","authenticated-orcid":false,"given":"Wenhao","family":"Chai","sequence":"additional","affiliation":[{"name":"University of Washington, Seattle , China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0836-9633","authenticated-orcid":false,"given":"Jinbin","family":"Bai","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7156-0115","authenticated-orcid":false,"given":"Wenbin","family":"Zou","sequence":"additional","affiliation":[{"name":"South China University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7037-5180","authenticated-orcid":false,"given":"Yunchen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Fujian Normal University, Fuzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8737-3964","authenticated-orcid":false,"given":"Mingchao","family":"Jiang","sequence":"additional","affiliation":[{"name":"GAC R&D Center, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1577-1732","authenticated-orcid":false,"given":"Erkang","family":"Chen","sequence":"additional","affiliation":[{"name":"Jimei University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3118-5381","authenticated-orcid":false,"given":"Chenghao","family":"Xue","sequence":"additional","affiliation":[{"name":"Jimei University, Xiamen, China"}]}],"member":"320","published-online":{"date-parts":[[2023,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Video super-resolution transformer. arXiv preprint arXiv:2106.06847","author":"Cao Jiezhang","year":"2021","unstructured":"Jiezhang Cao, Yawei Li, Kai Zhang, Jingyun Liang, and Luc Van Gool. 2021. Video super-resolution transformer. arXiv preprint arXiv:2106.06847 (2021)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3201045"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.3390\/app12136588"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00491"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00588"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_36"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00658"},{"key":"e_1_3_2_1_8_1","volume-title":"SnowFormer: Scale-aware Transformer via Context Interaction for Single Image Desnowing. arXiv preprint arXiv:2208.09703","author":"Chen Sixiang","year":"2022","unstructured":"Sixiang Chen, Tian Ye, Yun Liu, Erkang Chen, Jun Shi, and Jingchun Zhou. 2022. SnowFormer: Scale-aware Transformer via Context Interaction for Single Image Desnowing. arXiv preprint arXiv:2208.09703 (2022)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095605"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096828"},{"key":"e_1_3_2_1_11_1","first-page":"11781","article-title":"Rethinking space-time networks with improved memory coverage for efficient video object segmentation","volume":"34","author":"Cheng Ho Kei","year":"2021","unstructured":"Ho Kei Cheng, Yu-Wing Tai, and Chi-Keung Tang. 2021. Rethinking space-time networks with improved memory coverage for efficient video object segmentation. Advances in Neural Information Processing Systems, Vol. 34 (2021), 11781--11794.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_12_1","volume-title":"Mark Overmars, and Otfried Schwarzkopf.","author":"Berg Mark De","year":"1997","unstructured":"Mark De Berg, Marc Van Kreveld, Mark Overmars, and Otfried Schwarzkopf. 1997. Computational Geometry: Introduction. Springer."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00223"},{"key":"e_1_3_2_1_14_1","unstructured":"Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly et al. 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)."},{"key":"e_1_3_2_1_15_1","volume-title":"Single image haze removal using dark channel prior","author":"He Kaiming","year":"2011","unstructured":"Kaiming He, Jian Sun, and Xiaoou Tang. 2011. Single image haze removal using dark channel prior. IEEE transactions on pattern analysis and machine intelligence, Vol. 33, 12 (2011), 2341--2353."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00352"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00578"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00595"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_10"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350855"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00955"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547829"},{"key":"e_1_3_2_1_24_1","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV) Workshops. 230--242","author":"Huang Jie","year":"2018","unstructured":"Jie Huang, Pengfei Zhu, Mingrui Geng, Jiewen Ran, Xingguang Zhou, Chen Xing, Pengfei Wan, and Xiangyang Ji. 2018. Range Scaling Global U-Net for Perceptual Image Enhancement on Mobile Devices. In Proceedings of the European Conference on Computer Vision (ECCV) Workshops. 230--242."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_38"},{"key":"e_1_3_2_1_26_1","volume-title":"2023 a. RSFDM-Net: Real-time Spatial and Frequency Domains Modulation Network for Underwater Image Enhancement. arXiv preprint arXiv:2302.12186","author":"Jiang Jingxia","year":"2023","unstructured":"Jingxia Jiang, Jinbin Bai, Yun Liu, Junjie Yin, Sixiang Chen, Tian Ye, and Erkang Chen. 2023 a. RSFDM-Net: Real-time Spatial and Frequency Domains Modulation Network for Underwater Image Enhancement. arXiv preprint arXiv:2302.12186 (2023)."},{"key":"e_1_3_2_1_27_1","volume-title":"2023 b. Five A + Network: You Only Need 9K Parameters for Underwater Image Enhancement. arXiv preprint arXiv:2305.08824","author":"Jiang Jingxia","year":"2023","unstructured":"Jingxia Jiang, Tian Ye, Jinbin Bai, Sixiang Chen, Wenhao Chai, Shi Jun, Yun Liu, and Erkang Chen. 2023 b. Five A + Network: You Only Need 9K Parameters for Underwater Image Enhancement. arXiv preprint arXiv:2305.08824 (2023)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2880512"},{"key":"e_1_3_2_1_29_1","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"37","author":"Jin Yeying","unstructured":"Yeying Jin, Ruoteng Li, Wenhan Yang, and Robby T. Tan. 2023. Estimating reflectance layer from a single image: Integrating reflectance guidance and shadow\/specular aware learning. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 37. 1069--1077."},{"volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision. 5027--5036","author":"Jin Yeying","key":"e_1_3_2_1_30_1","unstructured":"Yeying Jin, Aashish Sharma, and Robby T. Tan. 2021. DC-ShadowNet: Single-image hard and soft shadow removal using unsupervised domain-classifier guided network. In Proceedings of the IEEE\/CVF International Conference on Computer Vision. 5027--5036."},{"key":"e_1_3_2_1_31_1","volume-title":"Tan","author":"Jin Yeying","year":"2022","unstructured":"Yeying Jin, Wending Yan, Wenhan Yang, and Robby T. Tan. 2022a. Structure representation network and uncertainty feedback learning for dense non-uniform fog removal. In Proceedings of the Asian Conference on Computer Vision (ACCV). Springer, 155--172."},{"key":"e_1_3_2_1_32_1","volume-title":"Tan","author":"Jin Yeying","year":"2022","unstructured":"Yeying Jin, Wenhan Yang, and Robby T. Tan. 2022b. Unsupervised night image enhancement: When layer decomposition meets light-effects suppression. In Proceedings of the European Conference on Computer Vision (ECCV). Springer, 404--421."},{"key":"e_1_3_2_1_33_1","volume-title":"Tan","author":"Jin Yeying","year":"2022","unstructured":"Yeying Jin, Wenhan Yang, Wei Ye, Yuan Yuan, and Robby T. Tan. 2022c. Shadowdiffusion: Diffusion-based shadow removal using classifier-driven attention and structure preservation. arXiv preprint arXiv:2211.08089 (2022)."},{"key":"e_1_3_2_1_34_1","volume-title":"Proceedings of the International Conference on Machine Learning. PMLR, 2342--2350","author":"Jozefowicz Rafal","year":"2015","unstructured":"Rafal Jozefowicz, Wojciech Zaremba, and Ilya Sutskever. 2015. An empirical exploration of recurrent network architectures. In Proceedings of the International Conference on Machine Learning. PMLR, 2342--2350."},{"key":"e_1_3_2_1_35_1","volume-title":"MPViT: Multi-Path Vision Transformer for Dense Prediction. arXiv preprint arXiv:2112.11010","author":"Lee Youngwan","year":"2021","unstructured":"Youngwan Lee, Jonghee Kim, Jeff Willette, and Sung Ju Hwang. 2021. MPViT: Multi-Path Vision Transformer for Dense Prediction. arXiv preprint arXiv:2112.11010 (2021)."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00695"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299133"},{"key":"e_1_3_2_1_38_1","volume-title":"Flow-Guided sparse transformer for video deblurring. arXiv preprint arXiv:2201.01893","author":"Lin Jing","year":"2022","unstructured":"Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, and Luc Van Gool. 2022. Flow-Guided sparse transformer for video deblurring. arXiv preprint arXiv:2201.01893 (2022)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00560"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00341"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00741"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00717"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-022-12681-x"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2894525"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2021.107986"},{"key":"e_1_3_2_1_46_1","volume-title":"2023 a. NightHazeFormer: Single Nighttime Haze Removal Using Prior Query Transformer. arXiv preprint arXiv:2305.09533","author":"Liu Yun","year":"2023","unstructured":"Yun Liu, Zhongsheng Yan, Sixiang Chen, Tian Ye, Wenqi Ren, and Erkang Chen. 2023 a. NightHazeFormer: Single Nighttime Haze Removal Using Prior Query Transformer. arXiv preprint arXiv:2305.09533 (2023)."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3214430"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00079"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105373"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00932"},{"key":"e_1_3_2_1_51_1","volume-title":"Weakly Supervised Two-Stage Training Scheme for Deep Video Fight Detection Model. In 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 677--685","author":"Qi Zhenting","year":"2022","unstructured":"Zhenting Qi, Ruike Zhu, Zheyu Fu, Wenhao Chai, and Volodymyr Kindratenko. 2022. Weakly Supervised Two-Stage Training Scheme for Deep Video Fight Detection Model. In 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 677--685."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6865"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00903"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2876178"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"crossref","unstructured":"Enxin Song Wenhao Chai Guanhong Wang Yucheng Zhang Haoyang Zhou Feiyang Wu Xun Guo Tian Ye Yan Lu Jenq-Neng Hwang et al. 2023. MovieChat: From Dense Token to Sparse Memory for Long Video Understanding. arXiv preprint arXiv:2307.16449 (2023).","DOI":"10.1109\/CVPR52733.2024.01725"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803136"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00143"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_33"},{"key":"e_1_3_2_1_59_1","volume-title":"Video-to-video synthesis. arXiv preprint arXiv:1808.06601","author":"Wang Ting-Chun","year":"2018","unstructured":"Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, and Bryan Catanzaro. 2018b. Video-to-video synthesis. arXiv preprint arXiv:1808.06601 (2018)."},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00247"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_24"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.275"},{"key":"e_1_3_2_1_64_1","volume-title":"Video Waterdrop Removal via Spatio-Temporal Fusion in Driving Scenes. arXiv preprint arXiv:2302.05916","author":"Wen Qiang","year":"2023","unstructured":"Qiang Wen, Yue Wu, and Qifeng Chen. 2023. Video Waterdrop Removal via Spatio-Temporal Fusion in Driving Scenes. arXiv preprint arXiv:2302.05916 (2023)."},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00098"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"crossref","unstructured":"Shuzhou Yang Moxuan Ding Yanmin Wu Zihan Li and Jian Zhang. 2023 a. Implicit Neural Representation for Cooperative Low-light Image Enhancement. arxiv: 2303.11722 [cs.CV]","DOI":"10.1109\/ICCV51070.2023.01187"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00176"},{"key":"e_1_3_2_1_68_1","first-page":"8569","article-title":"Recurrent multi-frame deraining: Combining physics guidance and adversarial learning","volume":"44","author":"Yang Wenhan","year":"2022","unstructured":"Wenhan Yang, Robby T. Tan, Jiashi Feng, Shiqi Wang, Bin Cheng, and Jiaying Liu. 2022. Recurrent multi-frame deraining: Combining physics guidance and adversarial learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 44, 11 (2022), 8569--8586.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00179"},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01351"},{"key":"e_1_3_2_1_71_1","volume-title":"Proceedings of the Asian Conference on Computer Vision. 366--381","author":"Ye Tian","year":"2022","unstructured":"Tian Ye, Sixiang Chen, Yun Liu, Yi Ye, Jinbin Bai, and Erkang Chen. 2022a. Towards real-time high-definition image snow removal: Efficient pyramid network with asymmetrical encoder-decoder architecture. In Proceedings of the Asian Conference on Computer Vision. 366--381."},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00064"},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_8"},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548410"},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00070"},{"key":"e_1_3_2_1_76_1","volume-title":"Fahad Shahbaz Khan, and Ming-Hsuan Yang","author":"Zamir Syed Waqas","year":"2021","unstructured":"Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang. 2021. Restormer: Efficient Transformer for High-Resolution Image Restoration. arXiv preprint arXiv:2111.09881 (2021)."},{"key":"e_1_3_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00564"},{"key":"e_1_3_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548359"},{"key":"e_1_3_2_1_79_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00912"},{"key":"e_1_3_2_1_80_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3193059"},{"key":"e_1_3_2_1_81_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58539-6_12"},{"key":"e_1_3_2_1_82_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110410"},{"key":"e_1_3_2_1_83_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.displa.2021.102137"},{"key":"e_1_3_2_1_84_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3199210"},{"key":"e_1_3_2_1_85_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547924"},{"key":"e_1_3_2_1_86_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547774"},{"key":"e_1_3_2_1_87_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19797-0_16"},{"key":"e_1_3_2_1_88_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00184"},{"key":"e_1_3_2_1_89_1","volume-title":"Advances in Neural Information Processing Systems","volume":"35","author":"Man","year":"2022","unstructured":"Man zhou, Hu Yu, Jie Huang, Feng Zhao, Jinwei Gu, Chen Change Loy, Deyu Meng, and Chongyi Li. 2022. Deep Fourier Up-Sampling. In Advances in Neural Information Processing Systems, Vol. 35. Curran Associates, Inc., 22995--23008."},{"key":"e_1_3_2_1_90_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00554"}],"event":{"name":"MM '23: The 31st ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Ottawa ON Canada","acronym":"MM '23"},"container-title":["Proceedings of the 31st ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3611742","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3581783.3611742","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:08:40Z","timestamp":1755821320000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3611742"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,26]]},"references-count":90,"alternative-id":["10.1145\/3581783.3611742","10.1145\/3581783"],"URL":"https:\/\/doi.org\/10.1145\/3581783.3611742","relation":{},"subject":[],"published":{"date-parts":[[2023,10,26]]},"assertion":[{"value":"2023-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}