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Hardware-Friendly Block Variable-Length Sampling Pruning for Graph Neural Networks., , , , , , , и . MWSCAS, стр. 1030-1034. IEEE, (2023)Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement., , , и . ICRA, стр. 4592-4598. IEEE, (2022)A Universal Self-Correcting Approach for Abnormal Jump Errors in Absolute Phase Retrieval., , , , , , , и . IEEE Trans. Instrum. Meas., (2022)Joint Over and Under Exposures Correction by Aggregated Retinex Propagation for Image Enhancement., , , , и . IEEE Signal Process. Lett., (2020)Sampling-based epoch differentiation calibrated graph convolution network for point-of-interest recommendation., , , , и . Neurocomputing, (февраля 2024)Cross-SRN: Structure-Preserving Super-Resolution Network With Cross Convolution., , , , , и . IEEE Trans. Circuits Syst. Video Technol., 32 (8): 4927-4939 (2022)Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light., , , , и . IEEE Trans. Circuits Syst. Video Technol., 30 (12): 4861-4875 (2020)Global structure-guided learning framework for underwater image enhancement., , , и . Vis. Comput., 38 (12): 4419-4434 (2022)Multi-Spectral Image Stitching via Spatial Graph Reasoning., , , , и . ACM Multimedia, стр. 472-480. ACM, (2023)A Bridging Framework for Model Optimization and Deep Propagation., , , , , и . NeurIPS, стр. 4323-4332. (2018)