331 citations · 665 across the 20 of their papers we have counts for
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GSBIQA: Green Saliency-guided Blind Image Quality Assessment Method
Zhanxuan Mei, Yun-Cheng Wang, C. -C. Jay Kuo
Blind Image Quality Assessment (BIQA) is an essential task that estimates the perceptual quality of images without reference. While many BIQA methods employ deep neural networks (D…
GreenSaliency: A Lightweight and Efficient Image Saliency Detection Method
Zhanxuan Mei, Yun-Cheng Wang, C. -C. Jay Kuo
Image saliency detection is crucial in understanding human gaze patterns from visual stimuli. The escalating demand for research in image saliency detection is driven by the growin…
Blind Video Quality Assessment at the Edge
Zhanxuan Mei, Yun-Cheng Wang, C. -C. Jay Kuo
Owing to the proliferation of user-generated videos on the Internet, blind video quality assessment (BVQA) at the edge attracts growing attention. The usage of deep-learning-based…
Lightweight High-Performance Blind Image Quality Assessment
Zhanxuan Mei, Yun-Cheng Wang, Xingze He +2
Blind image quality assessment (BIQA) is a task that predicts the perceptual quality of an image without its reference. Research on BIQA attracts growing attention due to the incre…
GreenBIQA: A Lightweight Blind Image Quality Assessment Method
Zhanxuan Mei, Yun-Cheng Wang, Xingze He +1
Deep neural networks (DNNs) achieve great success in blind image quality assessment (BIQA) with large pre-trained models in recent years. Their solutions cannot be easily deployed…