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SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning.

, , , , , , and . QoMEX, page 1-6. IEEE, (2019)

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Technical Report on Visual Quality Assessment for Frame Interpolation., , , , , and . CoRR, (2019)KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment., , , and . IEEE Trans. Image Process., (2020)Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference., , , , , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (9): 5859-5873 (2022)Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model., , , , , , , , and . IEEE Trans. Multim., (2024)Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model., , , , , , , , and . CoRR, (2022)Positional Encoding: Improving Class-Imbalanced Motorcycle Helmet use Classification., , and . ICIP, page 1194-1198. IEEE, (2021)Crowdsourced Quality Assessment of Enhanced Underwater Images - a Pilot Study., , , , and . QoMEX, page 1-4. IEEE, (2022)Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery., , , , , and . CoRR, (2023)Algorithm Selection for Image Quality Assessment., , , and . CoRR, (2019)Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine., , and . PAKDD (1), volume 9651 of Lecture Notes in Computer Science, page 165-176. Springer, (2016)