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Computer Vision and Pattern Recognition (CVPR), pp.3897-3906, June 2019. 10.1109\/cvpr.2019.00402","DOI":"10.1109\/CVPR.2019.00402"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] H. Zhang, H. Xie, and H. Yao, \u201cSpatio-temporal deformable attention network for video deblurring,\u201d Proc. European Conf. on Computer Vision (ECCV), pp.581-596, Oct. 2022. 10.1007\/978-3-031-19787-1_33","DOI":"10.1007\/978-3-031-19787-1_33"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] G. Bertasius, L. Torresani, and J. Shi, \u201cObject detection in video with spatiotemporal sampling networks,\u201d Proc. European Conf. on Computer Vision (ECCV), pp.331-346, Sept. 2018. 10.1007\/978-3-030-01258-8_21","DOI":"10.1007\/978-3-030-01258-8_21"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] Y. Tian, Y. Zhang, Y. Fu, and C. Xu, \u201cTDAN: Temporally deformable alignment network for video super-resolution,\u201d Proc. Computer Vision and Pattern Recognition (CVPR), pp.3360-3369, June 2020. 10.1109\/cvpr42600.2020.00342","DOI":"10.1109\/CVPR42600.2020.00342"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] X. Wang, K.C.K. Chan, K. Yu, C. Dong, and C.C. Loy, \u201cEDVR: Video restoration with enhanced deformable convolutional networks,\u201d Proc. Computer Vision and Pattern Recognition (CVPR), June 2019. 10.1109\/cvprw.2019.00247","DOI":"10.1109\/CVPRW.2019.00247"},{"key":"11","unstructured":"[11] S. Moriyama, Y. Toyoda, K. Ichige, Y. Hori, and M. Tachi, \u201cApplication of video restoration model EDVR to reflection removal and its evaluation,\u201d IEICE General Conf., no.A-8-5, March 2023."},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] S. Nah, S. Baik, S. Hong, G. Moon, S. Son, R. Timofte, and K.M. Lee, \u201cNTIRE 2019 challenge on video deblurring and super-resolution: Dataset and study,\u201d Proc. Computer Vision and Pattern Recognition (CVPR), June 2019. 10.1109\/cvprw.2019.00251","DOI":"10.1109\/CVPRW.2019.00251"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[13] Z. Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli, \u201cImage quality assessment: From error visibility to structural similarity,\u201d IEEE Trans. Image Process., vol.13, no.4, pp.600-612, April 2004. 10.1109\/tip.2003.819861","DOI":"10.1109\/TIP.2003.819861"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] J. Dai, H. Qi, Y. Xiong, Y. Li, G. Zhang, H. Hu, and Y. Wei, \u201cDeformable convolutional networks,\u201d Proc. Int&apos;l Conf. on Computer Vision (ICCV), pp.764-773, Oct. 2017. 10.1109\/iccv.2017.89","DOI":"10.1109\/ICCV.2017.89"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] X. Zhu, H. Hu, S. Lin, and J. Dai, \u201cDeformable ConvNets V2: More deformable, better results,\u201d Proc. Computer Vision and Pattern Recognition (CVPR), pp.9308-9316, June 2019. 10.1109\/cvpr.2019.00953","DOI":"10.1109\/CVPR.2019.00953"},{"key":"16","doi-asserted-by":"publisher","unstructured":"[16] K.C.K. Chan, X. Wang, K. Yu, C. Dong, and C.C. Loy, \u201cUnderstanding deformable alignment in video super-resolution,\u201d Proc. AAAI Conf. on Artificial Intelligence, vol.35, no.2, pp.973-981, May 2021. 10.1609\/aaai.v35i2.16181","DOI":"10.1609\/aaai.v35i2.16181"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] S. Ji, W. Xu, M. Yang, and K. Yu, \u201c3D convolutional neural networks for human action recognition,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.35, no.1, pp.221-231, Jan. 2013. 10.1109\/tpami.2012.59","DOI":"10.1109\/TPAMI.2012.59"},{"key":"18","doi-asserted-by":"publisher","unstructured":"[18] K. Zhang, W. Luo, Y. Zhong, L. Ma, W. Liu, and H. Li, \u201cAdversarial spatio-temporal learning for video deblurring,\u201d IEEE Trans. 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