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10/03/2022
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
No-reference image quality assessment (NR-IQA) aims to quantify how huma...
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07/29/2022
Image Quality Assessment: Integrating Model-Centric and Data-Centric Approaches
Learning-based image quality assessment (IQA) has made remarkable progre...
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04/29/2022
Deep Geometry Post-Processing for Decompressed Point Clouds
Point cloud compression plays a crucial role in reducing the huge cost o...
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06/26/2021
Semi-Supervised Deep Ensembles for Blind Image Quality Assessment
Ensemble methods are generally regarded to be better than a single model...
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02/19/2021
Continual Learning for Blind Image Quality Assessment
The explosive growth of image data facilitates the fast development of i...
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11/09/2020
Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training
Video quality assessment (VQA) is an important problem in computer visio...
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08/10/2020
Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment
Currently, most image quality assessment (IQA) models are supervised by ...
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08/01/2019
Quality Assessment of In-the-Wild Videos
Quality assessment of in-the-wild videos is a challenging problem becaus...
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10/19/2018
Quality Assessment for Tone-Mapped HDR Images Using Multi-Scale and Multi-Layer Information
Tone mapping operators and multi-exposure fusion methods allow us to enj...
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10/18/2018
