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Dual Head Network for No-Reference Quality Assessment Towards Realistic Night-Time Images.

, , , , and . IEEE Access, (2020)

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Dual Head Network for No-Reference Quality Assessment Towards Realistic Night-Time Images., , , , and . IEEE Access, (2020)Language-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning., , , and . CoRR, (2020)A Comparative Study of Perceptual Quality Metrics for Audio-driven Talking Head Videos., , , , , and . CoRR, (2024)Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective., , , , and . CVPR, page 14071-14081. IEEE, (2023)Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop., , , , , , and . NeurIPS, (2022)Continual Learning for Blind Image Quality Assessment., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (3): 2864-2878 (March 2023)Erratum to: Refining deep convolutional features for improving fine-grained image recognition., , , , and . EURASIP J. Image Video Process., (2017)AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment., , , , , , , , , and 3 other author(s). CoRR, (2024)AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results., , , , , , , , , and 26 other author(s). CoRR, (2024)Blind Image Quality Assessment Based on Natural Redundancy Statistics., , and . ACCV (4), volume 10114 of Lecture Notes in Computer Science, page 3-18. Springer, (2016)