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Learning-Based Satisfied User Ratio Prediction for Symmetrically and Asymmetrically Compressed Stereoscopic Images., , , , and . IEEE Multim., 28 (3): 8-20 (2021)Review of Serious Games for Medical Operation., , , , , and . CoRR, (2022)Model-Based Joint Bit Allocation Between Geometry and Color for Video-Based 3D Point Cloud Compression., , , , and . IEEE Trans. Multim., (2021)Guest Editorial Special Section on Hybrid Human-Artificial Intelligence for Multimedia Computing., , , , and . IEEE Trans. Multim., (2021)Kalman filter-based prediction refinement and quality enhancement for geometry-based point cloud compression., , , , and . VCIP, page 1-5. IEEE, (2021)APCCPA '22: 1st International Workshop on Advances in Point Cloud Compression, Processing and Analysis., , , , , and . ACM Multimedia, page 7392-7393. ACM, (2022)Interactive Subjective Study on Picture-level Just Noticeable Difference of Compressed Stereoscopic Images., , , and . ICASSP, page 8548-8552. IEEE, (2019)SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning., , , , , , and . QoMEX, page 1-6. IEEE, (2019)Feature learning for Human Activity Recognition using Convolutional Neural Networks., , , , , , , , , and . CCF Trans. Pervasive Comput. Interact., 2 (1): 18-32 (2020)Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference., , , , , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (9): 5859-5873 (2022)