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MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution.

, , , , and . ICCV, page 23074-23084. IEEE, (2023)

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B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flows., , , , , and . CoRR, (2022)Content-Adaptive Motion Rate Adaption for Learned Video Compression., , and . CoRR, (2023)Error drifting reduction in enhanced fine granularity scalability., and . ICIP (2), page 61-64. IEEE, (2002)A Study of Motion Coding Schemes for Learned Video Compression., , and . SBCCI, page 1-6. IEEE, (2022)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)HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar., , , , and . WACV, page 5704-5713. IEEE, (2023)Learned Hierarchical B-frame Coding with Adaptive Feature Modulation for YUV 4: 2: 0 Content., , , , and . ISCAS, page 1-5. IEEE, (2023)Semantic Segmentation on Compressed Video using Block Motion Compensation and Guided Inpainting., , , and . ISCAS, page 1-5. IEEE, (2020)Learned Video Compression for YUV 4: 2: 0 Content Using Flow-based Conditional Inter-frame Coding., , , , , , and . ISCAS, page 829-833. IEEE, (2022)A Synthesis-Quality-Oriented Depth Refinement Scheme for MPEG Free Viewpoint Television (FTV)., , , and . ISM, page 171-178. IEEE Computer Society, (2009)