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Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference., , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (4): 4474-4493 (April 2023)Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos., , , , , , , and . ICCV, page 16534-16543. IEEE, (2023)PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos., , , , , and . CVPR, page 1212-1222. IEEE, (2023)Learnable Lookup Table for Neural Network Quantization., , , , , and . CVPR, page 12413-12423. IEEE, (2022)Unsupervised Degradation Representation Learning for Blind Super-Resolution., , , , , , and . CVPR, page 10581-10590. Computer Vision Foundation / IEEE, (2021)Mask-ControlNet: Higher-Quality Image Generation with An Additional Mask Prompt., , , , and . CoRR, (2024)Deformable 3D Convolution for Video Super-Resolution., , , , , and . CoRR, (2020)Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks., , , , , and . CoRR, (2020)Learning A Single Network for Scale-Arbitrary Super-Resolution., , , , , and . ICCV, page 4781-4790. IEEE, (2021)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)