The just noticeable difference (JND) is the minimal difference between
s...
Multi-modal integration and classification based on graph learning is am...
Computer vision models for image quality assessment (IQA) predict the
su...
Convolutional neural networks (CNNs) have significantly advanced
computa...
In subjective full-reference image quality assessment, differences betwe...
We propose to use a quality estimator and evolutionary methods to search...
Super-resolution aims at increasing the resolution and level of detail w...
Multi-level deep-features have been driving state-of-the-art methods for...
Current benchmarks for optical flow algorithms evaluate the estimation e...
The Satisfied User Ratio (SUR) curve for a lossy image compression schem...
Video Quality Assessment (VQA) methods have been designed with a focus o...
The continuous motorization of traffic has led to a sustained increase i...
Deep learning methods for image quality assessment (IQA) are limited due...
Subjective perceptual image quality can be assessed in lab studies by hu...
Current benchmarks for optical flow algorithms evaluate the estimation
q...
The main challenge in applying state-of-the-art deep learning methods to...