3 papers
cs.CV2026
Boosting Image Quality Assessment Performance: Unsupervised Score Fusion by Deep Maximum a Posteriori Estimation
Zhongling Wang, Raymond Zhou, Shahrukh Athar +2
Over the past decades, numerous Image Quality Assessment (IQA) models have emerged, aiming to predict the perceptual quality of images. However, individual models are often biased…
eess.IV2026
Automated Disentangling Analysis of Skin Colour for Lesion Images
Wenbo Yang, Eman Rezk, Walaa M. Moursi +1
Machine-learning models applied to skin images often have degraded performance when the skin colour captured in images (SCCI) differs between training and deployment. These discrep…
cs.CV2025
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement
Wenbo Yang, Zhongling Wang, Zhou Wang
Image degradation synthesis is highly desirable in a wide variety of applications ranging from image restoration to simulating artistic effects. Existing models are designed to gen…