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Extreme Image Coding via Multiscale Autoencoders with Generative Adversarial Optimization.

, , , , and . VCIP, page 1-4. IEEE, (2019)

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Improved fast intra mode decision with reliability refinement., , and . ChinaSIP, page 495-499. IEEE, (2013)Perceptual Quality Assessment of Video Considering Both Frame Rate and Quantization Artifacts., , , and . IEEE Trans. Circuits Syst. Video Techn., 21 (3): 286-298 (2011)Modeling the impact of frame rate and quantization stepsizes and their temporal variations on perceptual video quality: A review of recent works., , and . CISS, page 1-6. IEEE, (2010)Optimization of spatial, temporal and amplitude resolution for rate-constrained video coding and scalable video adaptation., , and . ICIP, page 717-720. IEEE, (2012)Deep Hierarchical Video Compression., , , and . AAAI, page 8859-8867. AAAI Press, (2024)Deep Image Compression via End-to-End Learning., , , , and . CVPR Workshops, page 2575-2578. Computer Vision Foundation / IEEE Computer Society, (2018)Practical Stacked Non-local Attention Modules for Image Compression., , , and . CVPR Workshops, page 0. Computer Vision Foundation / IEEE, (2019)Anableps: Adapting Bitrate for Real-Time Communication Using VBR-encoded Video., , , and . ICME, page 1685-1690. IEEE, (2023)Bamboo: Boosting Training Efficiency for Real-Time Video Streaming via Online Grouped Federated Transfer Learning., , and . APNet, page 215-216. ACM, (2023)Lossy Image Compression with Quantized Hierarchical VAEs., , , and . WACV, page 198-207. IEEE, (2023)