15 citations · 37 across the 11 of their papers we have counts for
5 papers · 1 filter
Scale-wise Convolution for Image Restoration
Yuchen Fan, Jiahui Yu, Ding Liu +1
While scale-invariant modeling has substantially boosted the performance of visual recognition tasks, it remains largely under-explored in deep networks based image restoration. Na…
DAVID: Dual-Attentional Video Deblurring
Junru Wu, Xiang Yu, Ding Liu +2
Blind video deblurring restores sharp frames from a blurry sequence without any prior. It is a challenging task because the blur due to camera shake, object movement and defocusing…
Information Bottleneck Theory on Convolutional Neural Networks
Junjie Li, Ding Liu
Recent years, many researches attempt to open the black box of deep neural networks and propose a various of theories to understand it. Among them, Information Bottleneck (IB) theo…
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Yifan Jiang, Xinyu Gong, Ding Liu +6
Deep learning-based methods have achieved remarkable success in image restoration and enhancement, but are they still competitive when there is a lack of paired training data? As o…
Generative Tensor Network Classification Model for Supervised Machine Learning
Zheng-Zhi Sun, Cheng Peng, Ding Liu +2
Tensor network (TN) has recently triggered extensive interests in developing machine-learning models in quantum many-body Hilbert space. Here we purpose a generative TN classificat…