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Towards End-to-End Image Compression and Analysis with Transformers.

, , , , , , and . AAAI, page 104-112. AAAI Press, (2022)

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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)Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery., , , and . IEEE Trans. Computational Imaging, (2020)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)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)Deep Segmentation Domain Adaptation Network With Weighted Boundary Constraint., , , , and . IEEE Access, (2019)DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation., , , and . Mach. Intell. Res., 20 (6): 837-854 (December 2023)