78 citations · 102 across the 10 of their papers we have counts for
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cs.CV2022★ 18 cited
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
Weixia Zhang, Dingquan Li, Xiongkuo Min +4
No-reference image quality assessment (NR-IQA) aims to quantify how humans perceive visual distortions of digital images without access to their undistorted references. NR-IQA mode…
cs.MM2022
Blind Surveillance Image Quality Assessment via Deep Neural Network Combined with the Visual Saliency
Wei Lu, Wei Sun, Wenhan Zhu +4
The intelligent video surveillance system (IVSS) can automatically analyze the content of the surveillance image (SI) and reduce the burden of the manual labour. However, the SIs m…
cs.CV2022★ 78 cited
Confusing Image Quality Assessment: Towards Better Augmented Reality Experience
Huiyu Duan, Xiongkuo Min, Yucheng Zhu +3
With the development of multimedia technology, Augmented Reality (AR) has become a promising next-generation mobile platform. The primary value of AR is to promote the fusion of di…