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Deformable 3D Convolution for Video Super-Resolution., , , , , and . CoRR, (2020)Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks., , , , , and . CoRR, (2020)NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results., , , , , , , , , and 44 other author(s). CVPR Workshops, page 1320-1335. IEEE, (2023)Occlusion-Aware Cost Constructor for Light Field Depth Estimation., , , , , and . CVPR, page 19777-19786. IEEE, (2022)Decoupling Makes Weakly Supervised Local Feature Better., , , , , and . CVPR, page 15817-15827. IEEE, (2022)Learning A Single Network for Scale-Arbitrary Super-Resolution., , , , , and . ICCV, page 4781-4790. IEEE, (2021)NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results., , , , , , , , , and 68 other author(s). CVPR Workshops, page 905-918. IEEE, (2022)Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos., , , , , , , and . ICCV, page 16534-16543. IEEE, (2023)Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference., , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (4): 4474-4493 (April 2023)PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos., , , , , and . CVPR, page 1212-1222. IEEE, (2023)