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AutoDeconJ: a GPU accelerated ImageJ plugin for 3D light field deconvolution with optimal iteration numbers predicting., , , , , , и . CoRR, (2022)Transformer-Based Multi-Scale Feature Integration Network for Video Saliency Prediction., , , , , , , и . IEEE Trans. Circuits Syst. Video Technol., 33 (12): 7696-7707 (декабря 2023)Semi-Supervised Contrast Learning Based on Multiscale Attention and Multitarget Contrast Learning for Bearing Fault Diagnosis., , , и . IEEE Trans. Ind. Informatics, 19 (10): 10056-10068 (октября 2023)Fast SHVC inter-coding based on Bayesian decision with coding depth estimation., , , , и . J. Real Time Image Process., 18 (6): 2269-2285 (2021)Stereoscopic image discomfort prediction using dual-stream multi-level interactive network., , , , и . Displays, (июля 2023)Eye movements and visual discomfort when viewing stereoscopic 3D content., , , и . Digit. Signal Process., (2019)A Novel Hard-Decision Quantization Algorithm Based on Adaptive Deadzone Offset Model., , и . PCM (2), том 9917 из Lecture Notes in Computer Science, стр. 335-345. Springer, (2016)A Curvature-Based Saliency Method for Ship Detection in SAR Images., , , и . IEEE Geosci. Remote. Sens. Lett., 18 (9): 1590-1594 (2021)Efficient Hard-Decision Quantization Using an Adaptive Deadzone Offset Model for Video Coding., , , и . IEEE Access, (2019)An Efficient Parameter Optimization Algorithm and Its Application to Image De-noising., , , и . MMAsia, стр. 17:1-17:5. ACM, (2019)