126 citations · 322 across the 18 of their papers we have counts for
6 papers · 1 filter
A user model for JND-based video quality assessment: theory and applications
Haiqiang Wang, Ioannis Katsavounidis, Xinfeng Zhang +2
The video quality assessment (VQA) technology has attracted a lot of attention in recent years due to an increasing demand of video streaming services. Existing VQA methods are des…
A JND-based Video Quality Assessment Model and Its Application
Haiqiang Wang, Xinfeng Zhang, Chao Yang +1
Based on the Just-Noticeable-Difference (JND) criterion, a subjective video quality assessment (VQA) dataset, called the VideoSet, was constructed recently. In this work, we propos…
Analysis and prediction of JND-based video quality model
Haiqiang Wang, Xinfeng Zhang, Chao Yang +1
The just-noticeable-difference (JND) visual perception property has received much attention in characterizing human subjective viewing experience of compressed video. In this work,…
Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention
Chao Yang, Taehwan Kim, Ruizhe Wang +2
Image translation between two domains is a class of problems aiming to learn mapping from an input image in the source domain to an output image in the target domain. It has been a…
SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting
Yuhang Song, Chao Yang, Yeji Shen +3
In this paper, we focus on image inpainting task, aiming at recovering the missing area of an incomplete image given the context information. Recent development in deep generative…
Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart
Chao Yang, Yuhang Song, Xiaofeng Liu +2
Recent advances in deep generative models have shown promising potential in image inpanting, which refers to the task of predicting missing pixel values of an incomplete image usin…