1.4k citations · 1.8k across the 8 of their papers we have counts for
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Learning Deep Representations Using Convolutional Auto-encoders with Symmetric Skip Connections
Jianfeng Dong, Xiao-Jiao Mao, Chunhua Shen +1
Unsupervised pre-training was a critical technique for training deep neural networks years ago. With sufficient labeled data and modern training techniques, it is possible to train…
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
Xiao-Jiao Mao, Chunhua Shen, Yu-Bin Yang
Image restoration, including image denoising, super resolution, inpainting, and so on, is a well-studied problem in computer vision and image processing, as well as a test bed for…
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections
Xiao-Jiao Mao, Chunhua Shen, Yu-Bin Yang
In this paper, we propose a very deep fully convolutional encoding-decoding framework for image restoration such as denoising and super-resolution. The network is composed of multi…