268 citations · 681 across the 4 of their papers we have counts for
4 papers
Removing Rain in Videos: A Large-scale Database and A Two-stream ConvLSTM Approach
Tie Liu, Mai Xu, Zulin Wang
Rain removal has recently attracted increasing research attention, as it is able to enhance the visibility of rain videos. However, the existing learning based rain removal approac…
MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video
Qunliang Xing, Zhenyu Guan, Mai Xu +3
The past few years have witnessed great success in applying deep learning to enhance the quality of compressed image/video. The existing approaches mainly focus on enhancing the qu…
Enhancing Quality for HEVC Compressed Videos
Ren Yang, Mai Xu, Tie Liu +2
The latest High Efficiency Video Coding (HEVC) standard has been increasingly applied to generate video streams over the Internet. However, HEVC compressed videos may incur severe…
Predicting Video Saliency with Object-to-Motion CNN and Two-layer Convolutional LSTM
Lai Jiang, Mai Xu, Zulin Wang
Over the past few years, deep neural networks (DNNs) have exhibited great success in predicting the saliency of images. However, there are few works that apply DNNs to predict the…