Screen content quality assessment: Overview, benchmark, and beyond

X Min, K Gu, G Zhai, X Yang, W Zhang… - ACM Computing …, 2021 - dl.acm.org
Screen content, which is often computer-generated, has many characteristics distinctly
different from conventional camera-captured natural scene content. Such characteristic …

Quality-aware pre-trained models for blind image quality assessment

K Zhao, K Yuan, M Sun, M Li… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Blind image quality assessment (BIQA) aims to automatically evaluate the perceived quality
of a single image, whose performance has been improved by deep learning-based methods …

Blindly assess image quality in the wild guided by a self-adaptive hyper network

S Su, Q Yan, Y Zhu, C Zhang, X Ge… - Proceedings of the …, 2020 - openaccess.thecvf.com
Blind image quality assessment (BIQA) for authentically distorted images has always been a
challenging problem, since images captured in the wild include varies contents and diverse …

CNN-RNN based intelligent recommendation for online medical pre-diagnosis support

X Zhou, Y Li, W Liang - IEEE/ACM Transactions on …, 2020 - ieeexplore.ieee.org
The rapidly developed Health 2.0 technology has provided people with more opportunities
to conduct online medical consultation than ever before. Understanding contexts within …
[PDF] thecvf.com

From patches to pictures (PaQ-2-PiQ): Map** the perceptual space of picture quality

Z Ying, H Niu, P Gupta, D Mahajan… - Proceedings of the …, 2020 - openaccess.thecvf.com
Blind or no-reference (NR) perceptual picture quality prediction is a difficult, unsolved
problem of great consequence to the social and streaming media industries that impacts …