50 citations · 78 across the 11 of their papers we have counts for
11 papers
Joint Distribution Alignment for Universal Domain Adaptation
Shizhe Li, Hongshan Pu, Mengying Xie +2
Unsupervised domain adaptation (UDA) has been widely concerned in the fields of machine learning, pattern recognition, and computer vision. Traditional UDA learning usually assumes…
Image Denoising Using Global and Local Circulant Representation
Zhaoming Kong, Xiaowei Yang, Jiahuan Zhang
The proliferation of imaging devices and countless image data generated every day impose an increasingly high demand on efficient and effective image denoising. In this paper, we e…
Efficient Image Denoising Using Global and Local Circulant Representation
Zhaoming Kong, Jiahuan Zhang, Xiaowei Yang
The advancement of imaging devices and countless image data generated everyday impose an increasingly high demand on efficient and effective image denoising. In this paper, we pres…
Image Denoising Using Green Channel Prior
Zhaoming Kong, Fangxi Deng, Xiaowei Yang
Image denoising is an appealing and challenging task, in that noise statistics of real-world observations may vary with local image contents and different image channels. Specifica…
Color Image Denoising Using The Green Channel Prior
Zhaoming Kong, Xiaowei Yang
Noise removal in the standard RGB (sRGB) space remains a challenging task, in that the noise statistics of real-world images can be different in R, G and B channels. In fact, the g…
A Comparison of Image Denoising Methods
Zhaoming Kong, Fangxi Deng, Haomin Zhuang +3
The advancement of imaging devices and countless images generated everyday pose an increasingly high demand on image denoising, which still remains a challenging task in terms of b…