Transformer-based image denoising methods have achieved encouraging resu...
Stereo image super-resolution aims to boost the performance of image
sup...
In the past decade, convolutional neural networks (CNNs) have shown
prom...
Recently, great progress has been made in single-image super-resolution
...
With the development of deep learning, single image super-resolution (SI...
This paper proposes a C^0 (non-Lagrange) primal finite element
approxima...
Single image denoising (SID) has achieved significant breakthroughs with...
Single-image super-resolution (SISR) has achieved significant breakthrou...
Recently, deep convolution neural networks (CNNs) steered face
super-res...
Convolutional neural networks based single-image super-resolution (SISR)...
Real-time semantic segmentation, which can be visually understood as the...
In the past decade, there are many works on the finite element methods f...
This paper pays close attention to the cross-modality visible-infrared p...
Cross-resolution face recognition (CRFR), which is important in intellig...
With the growing importance of preventing the COVID-19 virus, face image...
In recent years, how to strike a good trade-off between accuracy and
inf...
Recently, the single image super-resolution (SISR) approaches with deep ...
Learning to generate natural scenes has always been a daunting task in
c...
The extensive computational burden limits the usage of CNNs in mobile de...