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Large-Scale Crowdsourcing Subjective Quality Evaluation of Learning-Based Image Coding., , , , и . VCIP, стр. 1-5. IEEE, (2021)Influence of Spatial Rendering on the Performance of Point Cloud Objective Quality Metrics., , и . EUVIP, стр. 1-6. IEEE, (2022)JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range., , , , , и . QoMEX, стр. 55-60. IEEE, (2023)Performance Evaluation of Objective Image Quality Metrics on Conventional and Learning-Based Compression Artifacts., , , , и . QoMEX, стр. 109-114. IEEE, (2021)On the Impact of Spatial Rendering on Point Cloud Subjective Visual Quality Assessment., , и . QoMEX, стр. 1-6. IEEE, (2022)On the Performance of Subjective Visual Quality Assessment Protocols for Nearly Visually Lossless Image Compression., , , , , , и . ACM Multimedia, стр. 6715-6723. ACM, (2023)Performance evaluation of learning based image coding solutions and quality metrics, , , , и . 85th JPEG Meeting, (ноября 2019)Assessing objective quality metrics for JPEG and MPEG point cloud coding., , и . QoMEX, стр. 8-14. IEEE, (2024)