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Visual Information Science, Technology and Application Laboratory
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Defogging Quality Assessment using FRFSIM: Results and Comparisons
Direct Application of Convolutional Neural Network Features to Image Quality Assessment
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation
Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training
Indoor Topological Localization Using a Visual Landmark Sequence
Learning Deep Image Priors for Blind Image Denoising
Quality assessment database for super-resolved images: QADS
Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization
Side Window Filtering
Results of Subwindows filter
Structure and Texture-Aware Image Decomposition via Training a Neural Network
Result Of STD
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Quality assessment database for super-resolved images: QADS
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