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Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution., , and . ECCV Workshops (2), volume 13802 of Lecture Notes in Computer Science, page 88-100. Springer, (2022)Visual entropy: A new framework for quantifying visual information based on human perception., , and . ICIP, page 3485-3489. IEEE, (2017)Multiple Level Feature-Based Universal Blind Image Quality Assessment Model., , , , and . ICIP, page 291-295. IEEE, (2018)No-Reference Video Quality Assessment based on Convolutional Neural Network and Human Temporal Behavior., and . APSIPA, page 1513-1517. IEEE, (2018)Visual Preference Assessment on Ultra-High-Definition Images., , , and . TBC, 62 (4): 757-769 (2016)Deep Learning-Based Distortion Sensitivity Prediction for Full-Reference Image Quality Assessment., , and . CVPR Workshops, page 344-353. Computer Vision Foundation / IEEE, (2021)CNN-Based Blind Quality Prediction On Stereoscopic Images Via Patch To Image Feature Pooling., , , and . ICIP, page 1745-1749. IEEE, (2019)Deep Blind Video Quality Assessment Based on Temporal Human Perception., and . ICIP, page 619-623. IEEE, (2018)Physical parameter prediction by embedding human perceptual parameter for 3D garment modeling., , , , and . APSIPA, page 1945-1949. IEEE, (2019)Point Cloud Deformation for Single Image 3d Reconstruction., , , , and . ICIP, page 2379-2383. IEEE, (2019)