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Learning end-to-end depth maps compression with conditional quality-controllable autoencoder., , и . VCIP, стр. 1-5. IEEE, (2023)Multi-rate deep semantic image compression with quantized modulated autoencoder.. MMSP, стр. 1-6. IEEE, (2021)Adaptive sparse representation of depth maps targeting view synthesis quality., , и . MMSP, стр. 317-321. IEEE, (2013)Effects of Deep Generative AutoEncoder Based Image Compression on Face Attribute Recognition: A Comprehensive Study., и . MoMM, том 14417 из Lecture Notes in Computer Science, стр. 159-172. Springer, (2023)A Hybrid Strategy for Reduction in Time Consumption for Cloud Datacenter Using HMBC Algorithm., , , , и . Wirel. Pers. Commun., 137 (4): 2037-2060 (августа 2024)Progressive edge-preserving depth maps coding based on sparse representation., , и . 3DTV-Conference, стр. 1-4. IEEE, (2012)MPEG-DASH users quality of experience enhancement for MOOC videos., и . ISM, стр. 166-167. IEEE, (2020)Internet of Things and Cloud Convergence for eHealth Systems: Concepts, Opportunities, and Challenges., , , , , и . Wirel. Pers. Commun., 133 (3): 1397-1447 (2023)Semantic-oriented learning-based image compression by Only-Train-Once quantized autoencoders., и . Signal Image Video Process., 17 (1): 285-293 (февраля 2023)Study of Coding Units Depth for Depth Maps Quality Scalable Compression Using SHVC., , и . VISIGRAPP (4: VISAPP), стр. 114-120. SCITEPRESS, (2023)