3 citations · 8 across the 4 of their papers we have counts for
6 papers
High Noise Immune Time-domain Inversion via Cascade Network (TICaN) for Complex Scatterers
Hongyu Gao, Yinpeng Wang, Qiang Ren +3
In this paper, a high noise immune time-domain inversion cascade network (TICaN) is proposed to reconstruct scatterers from the measured electromagnetic fields. The TICaN is compri…
LAConv: Local Adaptive Convolution for Image Fusion
Zi-Rong Jin, Liang-Jian Deng, Tai-Xiang Jiang +1
The convolution operation is a powerful tool for feature extraction and plays a prominent role in the field of computer vision. However, when targeting the pixel-wise tasks like im…
Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks
Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng +3
Hyperspectral images are of crucial importance in order to better understand features of different materials. To reach this goal, they leverage on a high number of spectral bands.…
Rain Streak Removal for Single Image via Kernel Guided CNN
Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang +3
Rain streak removal is an important issue and has recently been investigated extensively. Existing methods, especially the newly emerged deep learning methods, could remove the rai…
FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao +2
Rain streak removal is an important issue in outdoor vision systems and has recently been investigated extensively. In this paper, we propose a novel video rain streak removal appr…
Single image super-resolution by approximated Heaviside functions
Liang-Jian Deng, Weihong Guo, Ting-Zhu Huang
Image super-resolution is a process to enhance image resolution. It is widely used in medical imaging, satellite imaging, target recognition, etc. In this paper, we conduct continu…