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Learned Image Compression with Residual Coding.

, , , , , and . CVPR Workshops, page 0. Computer Vision Foundation / IEEE, (2019)

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P-frame Coding Proposal by NCTU: Parametric Video Prediction through Backprop-based Motion Estimation., , , , and . CVPR Workshops, page 598-601. Computer Vision Foundation / IEEE, (2020)An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU., , , and . CoRR, (2019)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 Video Compression for YUV 4: 2: 0 Content Using Flow-based Conditional Inter-frame Coding., , , , , , and . ISCAS, page 829-833. IEEE, (2022)Deep Incremental Optical Flow Coding For Learned Video Compression., , , and . ICIP, page 3988-3992. IEEE, (2022)An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU., , , and . CVPR Workshops, page 2539-2542. Computer Vision Foundation / IEEE Computer Society, (2018)Learned Image Compression with Residual Coding., , , , , and . CVPR Workshops, page 0. Computer Vision Foundation / IEEE, (2019)CANF-VC: Conditional Augmented Normalizing Flows for Video Compression., , , , and . ECCV (16), volume 13676 of Lecture Notes in Computer Science, page 207-223. Springer, (2022)A Hybrid Layered Image Compressor with Deep-Learning Technique., , , and . MMSP, page 1-6. IEEE, (2020)Learned Image Compression with Soft Bit-Based Rate-Distortion Optimization., , , and . ICIP, page 1715-1719. IEEE, (2019)