127 citations · 189 across the 6 of their papers we have counts for
6 papers
Reduced-Reference Quality Assessment of Point Clouds via Content-Oriented Saliency Projection
Wei Zhou, Guanghui Yue, Ruizeng Zhang +2
Many dense 3D point clouds have been exploited to represent visual objects instead of traditional images or videos. To evaluate the perceptual quality of various point clouds, in t…
Dehazed Image Quality Evaluation: From Partial Discrepancy to Blind Perception
Wei Zhou, Ruizeng Zhang, Leida Li +2
Image dehazing aims to restore spatial details from hazy images. There have emerged a number of image dehazing algorithms, designed to increase the visibility of those hazy images.…
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model
Shaolin Su, Hanhe Lin, Vlad Hosu +6
An accurate computational model for image quality assessment (IQA) benefits many vision applications, such as image filtering, image processing, and image generation. Although the…
TranSalNet: Towards perceptually relevant visual saliency prediction
Jianxun Lou, Hanhe Lin, David Marshall +2
Visual saliency prediction using transformers - Convolutional neural networks (CNNs) have significantly advanced computational modelling for saliency prediction. However, accuratel…
Cuid: A new study of perceived image quality and its subjective assessment
Lucie Lévêque, Ji Yang, Xiaohan Yang +5
Research on image quality assessment (IQA) remains limited mainly due to our incomplete knowledge about human visual perception. Existing IQA algorithms have been designed or train…
A Comparative Study of Algorithms for Realtime Panoramic Video Blending
Zhe Zhu, Jiaming Lu, Minxuan Wang +4
Unlike image blending algorithms, video blending algorithms have been little studied. In this paper, we investigate 6 popular blending algorithms---feather blending, multi-band ble…