{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T19:26:02Z","timestamp":1765308362873,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62172127, U22B2035, 62222608 and 62436002"],"award-info":[{"award-number":["62172127, U22B2035, 62222608 and 62436002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005046","name":"Natural Science Foundation of Heilongjiang Province","doi-asserted-by":"publisher","award":["YQ2022F004"],"award-info":[{"award-number":["YQ2022F004"]}],"id":[{"id":"10.13039\/501100005046","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Tianjin Natural Science Funds for Distinguished Young Scholar","award":["23JCJQJC00270"],"award-info":[{"award-number":["23JCJQJC00270"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3746027.3755062","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T05:50:47Z","timestamp":1761371447000},"page":"7700-7708","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Motion-Aware Adaptive Pixel Pruning for Efficient Local Motion Deblurring"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6039-6041","authenticated-orcid":false,"given":"Wei","family":"Shang","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China and City University of Hong Kong, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0965-6810","authenticated-orcid":false,"given":"Dongwei","family":"Ren","sequence":"additional","affiliation":[{"name":"Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-3618-0895","authenticated-orcid":false,"given":"Wanying","family":"Zhang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4310-9140","authenticated-orcid":false,"given":"Pengfei","family":"Zhu","sequence":"additional","affiliation":[{"name":"Tianjin University, Tianjin, China and Low-Altitude Intelligence Lab, Xiong'an National Innovation Center Technology Co., Ltd, Xiong'an New Area, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7765-8095","authenticated-orcid":false,"given":"Qinghua","family":"Hu","sequence":"additional","affiliation":[{"name":"Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3330-783X","authenticated-orcid":false,"given":"Wangmeng","family":"Zuo","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-017-0824-8"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20071-7_2"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00027"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00460"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1141911.1141956"},{"key":"e_1_3_2_2_6_1","volume-title":"Int. Conf. Learn. Represent.","author":"Jang Eric","year":"2017","unstructured":"Eric Jang, Shixiang Gu, and Ben Poole. 2017. Categorical reparameterization with gumbel-softmax. In Int. Conf. Learn. Represent."},{"key":"e_1_3_2_2_7_1","volume-title":"Accelerating Image Super-Resolution Networks with Pixel-Level Classification. In Eur. Conf. Comput. Vis., 236-251","author":"Jeong Jinho","year":"2024","unstructured":"Jinho Jeong, Jinwoo Kim, Younghyun Jo, and Seon Joo Kim. 2024. Accelerating Image Super-Resolution Networks with Pixel-Level Classification. In Eur. Conf. Comput. Vis., 236-251."},{"key":"e_1_3_2_2_8_1","volume-title":"Int. Conf. Learn. Represent.","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. In Int. Conf. Learn. Represent."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00570"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01184"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00854"},{"key":"e_1_3_2_2_12_1","volume-title":"Adv. Neural Inform. Process. Syst.","volume":"19","author":"Levin Anat","year":"2006","unstructured":"Anat Levin. 2006. Blind motion deblurring using image statistics. In Adv. Neural Inform. Process. Syst., Vol. 19."},{"key":"e_1_3_2_2_13_1","first-page":"1314","article-title":"Real-world deep local motion deblurring","volume":"37","author":"Li Haoying","year":"2023","unstructured":"Haoying Li, Ziran Zhang, Tingting Jiang, Peng Luo, Huajun Feng, and Zhihai Xu. 2023. Real-world deep local motion deblurring. In Ass. Advance. Arti. Intell., Vol. 37. 1314-1322.","journal-title":"Ass. Advance. Arti. Intell."},{"key":"e_1_3_2_2_14_1","volume-title":"Adaptive Window Pruning for Efficient Local Motion Deblurring. In Int. Conf. Learn. Represent.","author":"Li Haoying","year":"2024","unstructured":"Haoying Li, Jixin Zhao, Shangchen Zhou, Huajun Feng, Chongyi Li, and Chen Change Loy. 2024. Adaptive Window Pruning for Efficient Local Motion Deblurring. In Int. Conf. Learn. Represent."},{"key":"e_1_3_2_2_15_1","volume-title":"SGDR: Stochastic Gradient Descent with Warm Restarts. In Int. Conf. Learn. Represent.","author":"Loshchilov Ilya","year":"2017","unstructured":"Ilya Loshchilov and Frank Hutter. 2017. SGDR: Stochastic Gradient Descent with Warm Restarts. In Int. Conf. Learn. Represent."},{"key":"e_1_3_2_2_16_1","volume-title":"AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring. In IEEE Conf. Comput. Vis. Pattern Recog., 25681-25690","author":"Mao Xintian","year":"2024","unstructured":"Xintian Mao, Qingli Li, and Yan Wang. 2024a. AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring. In IEEE Conf. Comput. Vis. Pattern Recog., 25681-25690."},{"key":"e_1_3_2_2_17_1","first-page":"1905","article-title":"Intriguing findings of frequency selection for image deblurring","volume":"37","author":"Mao Xintian","year":"2023","unstructured":"Xintian Mao, Yiming Liu, Fengze Liu, Qingli Li, Wei Shen, and Yan Wang. 2023. Intriguing findings of frequency selection for image deblurring. In Ass. Advance. Arti. Intell., Vol. 37. 1905-1913.","journal-title":"Ass. Advance. Arti. Intell."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680888"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.35"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00548"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.180"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00271"},{"key":"e_1_3_2_2_23_1","first-page":"13937","article-title":"DynamicViT: Efficient vision Transformers with dynamic token sparsification","volume":"34","author":"Rao Yongming","year":"2021","unstructured":"Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, and Cho-Jui Hsieh. 2021. DynamicViT: Efficient vision Transformers with dynamic token sparsification. Adv. Neural Inform. Process. Syst., Vol. 34 (2021), 13937-13949.","journal-title":"Adv. Neural Inform. Process. Syst."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00340"},{"key":"e_1_3_2_2_25_1","first-page":"3974","article-title":"Deblurring dynamic scenes via spatially varying recurrent neural networks","volume":"44","author":"Ren Wenqi","year":"2021","unstructured":"Wenqi Ren, Jiawei Zhang, Jinshan Pan, Sifei Liu, Jimmy S Ren, Junping Du, Xiaochun Cao, and Ming-Hsuan Yang. 2021. Deblurring dynamic scenes via spatially varying recurrent neural networks. IEEE Trans. Pattern Anal. Mach. Intell., Vol. 44, 8 (2021), 3974-3987.","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/1409060.1409106"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121689"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298677"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00853"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_9"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1993.341105"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19797-0_17"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01716"},{"key":"e_1_3_2_2_35_1","volume-title":"Unraveling Motion Uncertainty for Local Motion Deblurring. In ACM Int. Conf. Multimedia. 3065-3074","author":"Xiao Zeyu","year":"2024","unstructured":"Zeyu Xiao, Zhihe Lu, Michael Bi Mi, Zhiwei Xiong, and Xinchao Wang. 2024. Unraveling Motion Uncertainty for Local Motion Deblurring. In ACM Int. Conf. Multimedia. 3065-3074."},{"key":"e_1_3_2_2_36_1","first-page":"1","article-title":"Quadratic video interpolation","author":"Xu Xiangyu","year":"2019","unstructured":"Xiangyu Xu, Siyao Li, Wenxiu Sun, Qian Yin, and Ming-Hsuan Yang. 2019. Quadratic video interpolation. In Adv. Neural Inform. Process. Syst., 1-10.","journal-title":"Adv. Neural Inform. Process. Syst."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00564"}],"event":{"name":"MM '25: The 33rd ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Dublin Ireland","acronym":"MM '25"},"container-title":["Proceedings of the 33rd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746027.3755062","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T19:21:38Z","timestamp":1765308098000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3755062"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":37,"alternative-id":["10.1145\/3746027.3755062","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3755062","relation":{},"subject":[],"published":{"date-parts":[[2025,10,27]]},"assertion":[{"value":"2025-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}