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A random-forest random field approach for cellular image segmentation., , and . ISBI, page 1251-1254. IEEE, (2014)Motion Deblurring from a Single Image.. University of Bern, Switzerland, (2018)base-search.net (ftunivbern:oai:boris.unibe.ch:172510).Learning Face Deblurring Fast and Wide., , and . CVPR Workshops, page 745-753. Computer Vision Foundation / IEEE Computer Society, (2018)Bilayer Blind Deconvolution with the Light Field Camera., , and . ICCV Workshops, page 208-216. IEEE Computer Society, (2015)Normalized Blind Deconvolution., , and . ECCV (7), volume 11211 of Lecture Notes in Computer Science, page 694-711. Springer, (2018)NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results., , , , , , , , , and 57 other author(s). CoRR, (2022)Local and Nonlocal Color Line Models for Image Matting., , and . IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 97-A (8): 1814-1819 (2014)AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement., , , , and . CVPR, page 17501-17510. IEEE, (2022)Toward Tiny and High-quality Facial Makeup with Data Amplify Learning., , , , , , , and . CoRR, (2024)SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancement., , , , , and . CoRR, (2022)