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AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results., , , , , , , , , and 12 other author(s). ICCV Workshops, page 3467-3475. IEEE, (2019)CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images., , , and . Signal Process., (2016)Deep Segmentation Domain Adaptation Network With Weighted Boundary Constraint., , , , and . IEEE Access, (2019)Image Super-resolution via Deep Aggregation Network., , and . ICASSP, page 1747-1751. IEEE, (2019)A super-resolution method for low-quality face image through RBF-PLS regression and neighbor embedding., , , , and . ICASSP, page 1253-1256. IEEE, (2012)Noise Face Image Hallucination via Data-Driven Local Eigentransformation., , , , , and . PCM, volume 8879 of Lecture Notes in Computer Science, page 183-192. Springer, (2014)Edge-Enhanced GAN for Remote Sensing Image Superresolution., , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (8): 5799-5812 (2019)SDPNet: A Deep Network for Pan-Sharpening With Enhanced Information Representation., , , , , and . IEEE Trans. Geosci. Remote. Sens., 59 (5): 4120-4134 (2021)Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery., , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation., , , and . Mach. Intell. Res., 20 (6): 837-854 (December 2023)