102 citations · 179 across the 13 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CV2017★ 9 cited
An End-to-End Compression Framework Based on Convolutional Neural Networks
Feng Jiang, Wen Tao, Shaohui Liu +3
Deep learning, e.g., convolutional neural networks (CNNs), has achieved great success in image processing and computer vision especially in high level vision applications such as r…
cs.CV2017★ 10 cited
Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module
Wuzhen Shi, Feng Jiang, Debin Zhao
Traditional works have shown that patches in a natural image tend to redundantly recur many times inside the image, both within the same scale, as well as across different scales.…
cs.CV2017★ 7 cited
Deep Networks for Compressed Image Sensing
Wuzhen Shi, Feng Jiang, Shengping Zhang +1
The compressed sensing (CS) theory has been successfully applied to image compression in the past few years as most image signals are sparse in a certain domain. Several CS reconst…