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End-to-End Learned Image Compression With Augmented Normalizing Flows.

, , , and . CVPR Workshops, page 1931-1935. Computer Vision Foundation / IEEE, (2021)

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Error drifting reduction in enhanced fine granularity scalability., and . ICIP (2), page 61-64. IEEE, (2002)Content-Adaptive Motion Rate Adaption for Learned Video Compression., , and . CoRR, (2023)B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flows., , , , , and . CoRR, (2022)A Study of Motion Coding Schemes for Learned Video Compression., , and . SBCCI, page 1-6. IEEE, (2022)Semantic Segmentation on Compressed Video using Block Motion Compensation and Guided Inpainting., , , and . ISCAS, page 1-5. IEEE, (2020)Description of Challenge Proposal by NCTU: An Autoencoder-based Image Compressor with Principle Component Analysis and Soft-Bit Rate Estimation., , , and . CVPR Workshops, page 0. Computer Vision Foundation / IEEE, (2019)Learned Hierarchical B-frame Coding with Adaptive Feature Modulation for YUV 4: 2: 0 Content., , , , and . ISCAS, page 1-5. IEEE, (2023)Learned Video Compression for YUV 4: 2: 0 Content Using Flow-based Conditional Inter-frame Coding., , , , , , and . ISCAS, page 829-833. IEEE, (2022)HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar., , , , and . WACV, page 5704-5713. IEEE, (2023)Multi-hypothesis Temporal Prediction Using Template Matching Prediction and Block Motion Compensation for High Efficiency Video Coding., , and . PCM, volume 7674 of Lecture Notes in Computer Science, page 164-175. Springer, (2012)