Perceptual video quality assessment plays a vital role in the field of video processing due to
the existence of quality degradations introduced in various stages of video signal …

Screen content, which is often computer-generated, has many characteristics distinctly
different from conventional camera-captured natural scene content. Such characteristic …

Recognition in low quality face datasets is challenging because facial attributes are
obscured and degraded. Advances in margin-based loss functions have resulted in …

With the rapid advancements of the text-to-image generative model, AI-generated images
(AGIs) have been widely applied to entertainment, education, social media, etc. However …

Performance of blind image quality assessment (BIQA) models has been significantly
boosted by end-to-end optimization of feature engineering and quality regression …

In this paper, we propose an image quality transformer (IQT) that successfully applies a
transformer architecture to a perceptual full-reference image quality assessment (IQA) task …

Image Quality Assessment (IQA) is a fundamental task in computer vision that has witnessed
remarkable progress with deep neural networks. Inspired by the characteristics of the human …

Field of view (FoV) prediction is critical in 360-degree video multicast, which is a key
component of the emerging virtual reality and augmented reality applications. Most of the …

Three-dimensional models are widely used in the fields of multimedia, computer graphics,
virtual reality, entertainment, design, and manufacturing because of the rich information that …

The performance of face analysis and recognition systems depends on the quality of the
acquired face data, which is influenced by numerous factors. Automatically assessing the …