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Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling., , , , , and . CoRR, (2024)Mode-dependent intra frame interpolation for H.264/AVC compressed video., , and . VCIP, page 1-4. IEEE, (2011)Block-Based Compressive Sensing Coding of Natural Images by Local Structural Measurement Matrix., , , , and . DCC, page 133-142. IEEE, (2015)Spatial-temporal recovery for hierarchical frame based video compressed sensing., , , , and . ICIP, page 1110-1114. IEEE, (2015)Model-based low bit-rate video coding for resource-deficient wireless visual communication., , , , , and . Neurocomputing, (2015)An empirical study of requirements-based test generation on an automobile control system., , , , and . SAC, page 1094-1099. ACM, (2014)Low-lighting video enhancement using constrained spatial-temporal model for real-time mobile communication., , , , , , , , and . ISCAS, page 1-4. IEEE, (2017)An Efficient Deep Convolutional Laplacian Pyramid Architecture for Cs Reconstruction At Low Sampling Ratios., , , , , and . ICASSP, page 1748-1752. IEEE, (2018)Multi-Exposure Image Fusion via Deformable Self-Attention., , , and . IEEE Trans. Image Process., (2023)One Sample Ring-LWE with Rounding and Its Application to Key Exchange., , , and . ACNS, volume 11464 of Lecture Notes in Computer Science, page 323-343. Springer, (2019)