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Multi-Modality Deep Network for Extreme Learned Image Compression., , , , and . AAAI, page 1033-1041. AAAI Press, (2023)Deep Optimization model for Screen Content Image Quality Assessment using Neural Networks., , , , and . CoRR, (2019)Naturalization Module in Neural Networks for Screen Content Image Quality Assessment., , , and . IEEE Signal Process. Lett., 25 (11): 1685-1689 (2018)Learning Parallax Transformer Network for Stereo Image JPEG Artifacts Removal., , , , and . ACM Multimedia, page 6072-6082. ACM, (2022)MVFlow: Deep Optical Flow Estimation of Compressed Videos with Motion Vector Prior., , , , and . ACM Multimedia, page 1964-1974. ACM, (2023)Uncertainty-Guided Spatial Pruning Architecture for Efficient Frame Interpolation., , , , , and . ACM Multimedia, page 1975-1986. ACM, (2023)Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report., , , , , , , , , and 86 other author(s). ECCV Workshops (3), volume 13803 of Lecture Notes in Computer Science, page 92-129. Springer, (2022)A Distortion-Aware Multi-Task Learning Framework for Fractional Interpolation in Video Coding., , , , and . IEEE Trans. Circuits Syst. Video Technol., 31 (7): 2824-2836 (2021)Perception-Oriented Stereo Image Super-Resolution., , , and . CoRR, (2022)Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation., , , , , and . CoRR, (2023)