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Technical Report on Visual Quality Assessment for Frame Interpolation., , , , , and . CoRR, (2019)Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model., , , , , , , , and . IEEE Trans. Multim., (2024)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 . CoRR, (2022)KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment., , , and . IEEE Trans. Image Process., (2020)Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features., , and . CVPR, page 9375-9383. Computer Vision Foundation / IEEE, (2019)Evolutionary super-resolution., , , , , , and . GECCO Companion, page 151-152. ACM, (2020)ATQAM/MAST'20: Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends., , , , , , , , , and 4 other author(s). ACM Multimedia, page 4758-4760. ACM, (2020)Visual Quality Assessment for Motion Compensated Frame Interpolation., , , , , and . QoMEX, page 1-6. IEEE, (2019)Critical analysis on the reproducibility of visual quality assessment using deep features., , and . CoRR, (2020)