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Learning-Based Satisfied User Ratio Prediction for Symmetrically and Asymmetrically Compressed Stereoscopic Images., , , , и . IEEE Multim., 28 (3): 8-20 (2021)Model-Based Joint Bit Allocation Between Geometry and Color for Video-Based 3D Point Cloud Compression., , , , и . IEEE Trans. Multim., (2021)Guest Editorial Special Section on Hybrid Human-Artificial Intelligence for Multimedia Computing., , , , и . IEEE Trans. Multim., (2021)Review of Serious Games for Medical Operation., , , , , и . CoRR, (2022)Kalman filter-based prediction refinement and quality enhancement for geometry-based point cloud compression., , , , и . VCIP, стр. 1-5. IEEE, (2021)APCCPA '22: 1st International Workshop on Advances in Point Cloud Compression, Processing and Analysis., , , , , и . ACM Multimedia, стр. 7392-7393. ACM, (2022)SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning., , , , , , и . QoMEX, стр. 1-6. IEEE, (2019)Interactive Subjective Study on Picture-level Just Noticeable Difference of Compressed Stereoscopic Images., , , и . ICASSP, стр. 8548-8552. IEEE, (2019)Guest Editorial Special Section on IEEE ICME 2020., , и . IEEE Open J. Circuits Syst., (2021)GQE-Net: A Graph-Based Quality Enhancement Network for Point Cloud Color Attribute., , , , и . IEEE Trans. Image Process., (2023)