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 …
M Kim, AK Jain, X Liu - … of the IEEE/CVF conference on …, 2022 - openaccess.thecvf.com
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 …
M Cheon, SJ Yoon, B Kang… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
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 …
C Chen, J Mo, J Hou, H Wu, L Liao… - … on Image Processing, 2024 - ieeexplore.ieee.org
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 …
J Li, L Han, C Zhang, Q Li, Z Liu - ACM Transactions on Multimedia …, 2023 - dl.acm.org
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 …
Y Cao, X Min, W Sun, G Zhai - IEEE Transactions on Image …, 2023 - ieeexplore.ieee.org
With the popularity of mobile Internet, audio and video (A/V) have become the main way for people to entertain and socialize daily. However, in order to reduce the cost of media …