69 citations · 361 across the 31 of their papers we have counts for
4 papers · 1 filter
Rain Removal By Image Quasi-Sparsity Priors
Yinglong Wang, Shuaicheng Liu, Chen Chen +2
Rain streaks will inevitably be captured by some outdoor vision systems, which lowers the image visual quality and also interferes various computer vision applications. We present…
Removing rain streaks by a linear model
Yinglong Wang, Shuaicheng Liu, Bing Zeng
Removing rain streaks from a single image continues to draw attentions today in outdoor vision systems. In this paper, we present an efficient method to remove rain streaks. First,…
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image
Jiaxiong Qiu, Zhaopeng Cui, Yinda Zhang +4
In this paper, we propose a deep learning architecture that produces accurate dense depth for the outdoor scene from a single color image and a sparse depth. Inspired by the indoor…
MGANet: A Robust Model for Quality Enhancement of Compressed Video
Xiandong Meng, Xuan Deng, Shuyuan Zhu +4
In video compression, most of the existing deep learning approaches concentrate on the visual quality of a single frame, while ignoring the useful priors as well as the temporal in…