During X-ray computed tomography (CT) scanning, metallic implants carryi...
Channel state information (CSI) plays a critical role in achieving the
p...
Although current deep learning-based methods have gained promising
perfo...
Deep generative models have achieved tremendous success in designing nov...
Motivated by their recent advances, deep learning techniques have been w...
It has been shown that equivariant convolution is very helpful for many ...
As a common weather, rain streaks adversely degrade the image quality. H...
User experience of mobile apps is an essential ingredient that can influ...
Single image deraining is an important yet challenging issue due to the
...
Recent deep neural networks (DNNs) can easily overfit to biased training...
To alleviate the adverse effect of rain streaks in image processing task...
Deep learning (DL) methods have achieved state-of-the-art performance in...
While deep networks have strong fitting capability to complex input patt...
While deep networks have strong fitting capability to complex input patt...
Hyperspectral imaging can help better understand the characteristics of
...
Logs are imperative in the development and maintenance process of many
s...
The 3-D total variation (3DTV) is a powerful regularization term, which
...
Recently, deep learning(DL) methods have been proposed for the low-dose
...
In recent years, the nuclear norm minimization (NNM) problem has been
at...