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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)End-to-End Learned Image Compression With Augmented Normalizing Flows., , , and . CVPR Workshops, page 1931-1935. Computer Vision Foundation / IEEE, (2021)B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flows., , , , , and . CoRR, (2022)Learned Video Compression for YUV 4: 2: 0 Content Using Flow-based Conditional Inter-frame Coding., , , , , , and . ISCAS, page 829-833. IEEE, (2022)Deep Video Prediction Through Sparse Motion Regularization., , and . ICIP, page 1646-1650. IEEE, (2020)Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265., , , and . VCIP, page 1-5. IEEE, (2022)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)SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement Learning., , , and . ICCV, page 10461-10469. IEEE, (2019)Deep Incremental Optical Flow Coding For Learned Video Compression., , , and . ICIP, page 3988-3992. IEEE, (2022)A Dual-Critic Reinforcement Learning Framework for Frame-Level Bit Allocation in HEVC/H.265., , , , and . DCC, page 13-22. IEEE, (2021)