5 citations · 9 across the 5 of their papers we have counts for
5 papers
Half of an image is enough for quality assessment
Junyong You, Yuan Lin, Jari Korhonen
Deep networks have demonstrated promising results in the field of Image Quality Assessment (IQA). However, there has been limited research on understanding how deep models in IQA w…
Apples and Oranges? Assessing Image Quality over Content Recognition
Junyong You, Zheng Zhang
Image recognition and quality assessment are two important viewing tasks, while potentially following different visual mechanisms. This paper investigates if the two tasks can be p…
Visual Mechanisms Inspired Efficient Transformers for Image and Video Quality Assessment
Junyong You, Zheng Zhang
Visual (image, video) quality assessments can be modelled by visual features in different domains, e.g., spatial, frequency, and temporal domains. Perceptual mechanisms in the huma…
Consumer Image Quality Prediction using Recurrent Neural Networks for Spatial Pooling
Jari Korhonen, Yicheng Su, Junyong You
Promising results for subjective image quality prediction have been achieved during the past few years by using convolutional neural networks (CNN). However, the use of CNNs for hi…
Transformer for Image Quality Assessment
Junyong You, Jari Korhonen
Transformer has become the new standard method in natural language processing (NLP), and it also attracts research interests in computer vision area. In this paper we investigate t…