17 citations · 29 across the 9 of their papers we have counts for
4 papers · 1 filter
Unsupervised Image Super-Resolution with an Indirect Supervised Path
Zhen Han, Enyan Dai, Xu Jia +5
The task of single image super-resolution (SISR) aims at reconstructing a high-resolution (HR) image from a low-resolution (LR) image. Although significant progress has been made b…
Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch Network
Xing Liu, Masanori Suganuma, Xiyang Luo +1
The employment of convolutional neural networks has achieved unprecedented performance in the task of image restoration for a variety of degradation factors. However, high-performa…
Evaluating Artificial Systems for Pairwise Ranking Tasks Sensitive to Individual Differences
Xing Liu, Takayuki Okatani
Owing to the advancement of deep learning, artificial systems are now rival to humans in several pattern recognition tasks, such as visual recognition of object categories. However…
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
Xing Liu, Masanori Suganuma, Zhun Sun +1
In this paper, we study design of deep neural networks for tasks of image restoration. We propose a novel style of residual connections dubbed "dual residual connection", which exp…