6 citations · 10 across the 4 of their papers we have counts for
4 papers
Secure Video Quality Assessment Resisting Adversarial Attacks
Ao-Xiang Zhang, Yuan-Gen Wang, Yu Ran +3
The exponential surge in video traffic has intensified the imperative for Video Quality Assessment (VQA). Leveraging cutting-edge architectures, current VQA models have achieved hu…
Black-box Adversarial Attacks Against Image Quality Assessment Models
Yu Ran, Ao-Xiang Zhang, Mingjie Li +2
The goal of No-Reference Image Quality Assessment (NR-IQA) is to predict the perceptual quality of an image in line with its subjective evaluation. To put the NR-IQA models into pr…
Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks
Ao-Xiang Zhang, Yu Ran, Weixuan Tang +1
No-Reference Video Quality Assessment (NR-VQA) plays an essential role in improving the viewing experience of end-users. Driven by deep learning, recent NR-VQA models based on Conv…
HVS Revisited: A Comprehensive Video Quality Assessment Framework
Ao-Xiang Zhang, Yuan-Gen Wang, Weixuan Tang +2
Video quality is a primary concern for video service providers. In recent years, the techniques of video quality assessment (VQA) based on deep convolutional neural networks (CNNs)…