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Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression.

, , , , and . IEEE Trans. Image Process., (2020)

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Continual Learning for Blind Image Quality Assessment., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (3): 2864-2878 (March 2023)Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems., , , and . Int. J. Comput. Vis., 129 (4): 1258-1281 (2021)Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild., , , and . IEEE Trans. Image Process., (2021)Special Section Guest Editorial: Perceptually Optimized Imaging., , and . J. Electronic Imaging, 30 (2): 021001 (2021)IconShop: Text-Based Vector Icon Synthesis with Autoregressive Transformers., , , and . CoRR, (2023)Debiased Subjective Assessment of Real-World Image Enhancement., , and . CVPR, page 711-721. Computer Vision Foundation / IEEE, (2021)Blind Image Quality Assessment by Learning from Multiple Annotators., , , and . ICIP, page 2344-2348. IEEE, (2019)Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition., , , , , and . CoRR, (2024)I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively., , , and . ICLR, OpenReview.net, (2020)Troubleshooting image segmentation models with human-in-the-loop., , , and . Mach. Learn., 112 (3): 1033-1051 (March 2023)