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Rectangular-Normalized Superpixel Entropy Index for Image Quality Assessment.

, , , , , and . Entropy, 20 (12): 947 (2018)

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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)Two-step superresolution approach for surveillance face image through radial basis function-partial least squares regression and locality-induced sparse representation., , , , and . J. Electronic Imaging, 22 (4): 041120 (2013)CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images., , , and . Signal Process., (2016)DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation., , , and . Mach. Intell. Res., 20 (6): 837-854 (December 2023)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)Feature-guided Gaussian mixture model for image matching., , , and . Pattern Recognit., (2019)Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery., , , and . IEEE Trans. Computational Imaging, (2020)Noise Face Image Hallucination via Data-Driven Local Eigentransformation., , , , , and . PCM, volume 8879 of Lecture Notes in Computer Science, page 183-192. Springer, (2014)Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification., , , , and . IEEE Geosci. Remote. Sens. Lett., 14 (3): 404-408 (2017)