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Blind Image Quality Index for Authentic Distortions With Local and Global Deep Feature Aggregation.

, , , , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (12): 8512-8523 (2022)

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Bayesian based Re-parameterization for DNN Model Pruning., , , , , and . ACM Multimedia, page 1367-1375. ACM, (2022)AEDNet: Asynchronous Event Denoising with Spatial-Temporal Correlation among Irregular Data., , , , , and . ACM Multimedia, page 1427-1435. ACM, (2022)MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment., , , , and . CVPR, page 14131-14140. Computer Vision Foundation / IEEE, (2020)Denoising Prior Driven Deep Neural Network for Image Restoration., , , , , and . CoRR, (2018)ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning., , , , and . CoRR, (2018)Context-based bias removal of statistical models of wavelet coefficients for image denoising., , , and . ICIP, page 3841-3844. IEEE, (2009)Learning-based recovery of compressive sensing with application in multiple description coding., , , and . MMSP, page 1-5. IEEE, (2009)Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search., , , , , and . CoRR, (2021)Superresolution Image Reconstruction: Selective milestones and open problems., , , , and . IEEE Signal Process. Mag., 40 (5): 54-66 (July 2023)Contrastive Self-Supervised Pre-Training for Video Quality Assessment., , , , and . IEEE Trans. Image Process., (2022)