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Image super-resolution based on two-level residual learning CNN.

, , , , , and . Multim. Tools Appl., 79 (7-8): 4831-4846 (2020)

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An Augmented Lagrangian Method for ℓ1-Regularized Optimization Problems with Orthogonality Constraints., , and . SIAM J. Sci. Comput., (2016)Image super-resolution based on two-level residual learning CNN., , , , , and . Multim. Tools Appl., 79 (7-8): 4831-4846 (2020)Simulation and Experiment Study on Deformation Characteristics of the Water Hydraulic Flexible Actuator Used for the Underwater Gripper., , , , and . IEEE Access, (2020)Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach., , and . SIAM J. Imaging Sci., 16 (4): 2247-2284 (December 2023)Single Image Defocus Deblurring via Implicit Neural Inverse Kernels., , and . ICCV, page 12566-12576. IEEE, (2023)A holistic approach to structure from motion.. University of Maryland, College Park, MD, USA, (2006)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/3807).Nonblind Image Deblurring via Deep Learning in Complex Field., , , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (10): 5387-5400 (2022)Self-Supervised Blind Motion Deblurring with Deep Expectation Maximization., , , and . CVPR, page 13986-13996. IEEE, (2023)Unsupervised Deep Video Denoising with Untrained Network., , and . AAAI, page 3651-3659. AAAI Press, (2023)Learning Deep Non-blind Image Deconvolution Without Ground Truths., , , and . ECCV (6), volume 13666 of Lecture Notes in Computer Science, page 642-659. Springer, (2022)