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Spatial-temporal recovery for hierarchical frame based video compressed sensing.

, , , , and . ICIP, page 1110-1114. IEEE, (2015)

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An empirical study of requirements-based test generation on an automobile control system., , , , and . SAC, page 1094-1099. ACM, (2014)Spatial-temporal recovery for hierarchical frame based video compressed sensing., , , , and . ICIP, page 1110-1114. IEEE, (2015)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)Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling., , , , , and . ACM Trans. Multim. Comput. Commun. Appl., 20 (7): 212:1-212:22 (July 2024)Reference image based method of region of interest enhancement for haze image., , , , and . ICIP, page 735-739. IEEE, (2015)Directional intra frame interpolation for HEVC compressed video., , , and . ICIP, page 1797-1801. IEEE, (2014)An Efficient Deep Quantized Compressed Sensing Coding Framework of Natural Images., , , , and . ACM Multimedia, page 1777-1785. ACM, (2018)Low bit-rate video coding via mode-dependent adaptive regression for wireless visual communications., , , , and . VCIP, page 1-6. IEEE, (2012)ODD: An Algorithm of Online Directional Dictionary Learning for Sparse Representation., , , , and . PCM (2), volume 10736 of Lecture Notes in Computer Science, page 939-947. Springer, (2017)