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Noise Face Image Hallucination via Data-Driven Local Eigentransformation.

, , , , , and . PCM, volume 8879 of Lecture Notes in Computer Science, page 183-192. Springer, (2014)

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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)Noise Face Image Hallucination via Data-Driven Local Eigentransformation., , , , , and . PCM, volume 8879 of Lecture Notes in Computer Science, page 183-192. Springer, (2014)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)Noise robust face hallucination employing Gaussian-Laplacian mixture model., , , and . Neurocomputing, (2014)Edge-Enhanced GAN for Remote Sensing Image Superresolution., , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (8): 5799-5812 (2019)Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery., , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Dynamic Association Learning of Self-Attention and Convolution in Image Restoration., , , , , and . CoRR, (2023)Robust Face Super-Resolution via Position Relation Model Based on Global Face Context., , , , and . IEEE Trans. Image Process., (2020)Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis., , , , and . CoRR, (2020)