123 citations · 143 across the 13 of their papers we have counts for
13 papers
Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance
Jingxiang Qu, Ryan Wen Liu, Yuan Gao +3
Real-time transportation surveillance is an essential part of the intelligent transportation system (ITS). However, images captured under low-light conditions often suffer the poor…
SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing
Yu Guo, Yuan Gao, Ryan Wen Liu +4
The presence of non-homogeneous haze can cause scene blurring, color distortion, low contrast, and other degradations that obscure texture details. Existing homogeneous dehazing me…
Rank-One Prior: Toward Real-Time Scene Recovery
Jun Liu, Ryan Wen Liu, Jianing Sun +1
Scene recovery is a fundamental imaging task for several practical applications, e.g., video surveillance and autonomous vehicles, etc. To improve visual quality under different we…
An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation
Maohan Liang, Ryan Wen Liu, Shichen Li +3
To achieve reliable mining results for massive vessel trajectories, one of the most important challenges is how to efficiently compute the similarities between different vessel tra…
Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise Suppression
Yu Guo, Yuxu Lu, Ryan Wen Liu +2
Maritime images captured under low-light imaging condition easily suffer from low visibility and unexpected noise, leading to negative effects on maritime traffic supervision and m…
GPU-Accelerated Compression and Visualization of Large-Scale Vessel Trajectories in Maritime IoT Industries
Yu Huang, Yan Li, Zhaofeng Zhang +1
The automatic identification system (AIS), an automatic vessel-tracking system, has been widely adopted to perform intelligent traffic management and collision avoidance services i…
Local Facial Makeup Transfer via Disentangled Representation
Zhaoyang Sun, Wenxuan Liu, Feng Liu +2
Facial makeup transfer aims to render a non-makeup face image in an arbitrary given makeup one while preserving face identity. The most advanced method separates makeup style infor…
Spatially Adapted First and Second Order Regularization for Image Reconstruction: From an Image Surface Perspective
Qiuxiang Zhong, Ryan Wen Liu, Yuping Duan
In this paper, we propose a new variational model for image reconstruction by minimizing the norm of the \emph{Weingarten map} of image surface for a given ima…
Similarity Grouping-Guided Neural Network Modeling for Maritime Time Series Prediction
Yan Li, Ryan Wen Liu, Zhao Liu +1
Reliable and accurate prediction of time series plays a crucial role in maritime industry, such as economic investment, transportation planning, port planning and design, etc. The…
Directional Regularized Tensor Modeling for Video Rain Streaks Removal
Zhaoyang Sun, Shengwu Xiong, Ryan Wen Liu
Outdoor videos sometimes contain unexpected rain streaks due to the rainy weather, which bring negative effects on subsequent computer vision applications, e.g., video surveillance…
Variational Regularized Transmission Refinement for Image Dehazing
Qiaoling Shu, Chuansheng Wu, Zhe Xiao +1
High-quality dehazing performance is highly dependent upon the accurate estimation of transmission map. In this work, the coarse estimation version is first obtained by weightedly…
OCT segmentation: Integrating open parametric contour model of the retinal layers and shape constraint to the Mumford-Shah functional
Jinming Duan, Weicheng Xie, Ryan Wen Liu +4
In this paper, we propose a novel retinal layer boundary model for segmentation of optical coherence tomography (OCT) images. The retinal layer boundary model consists of 9 open pa…
A Robust Alternating Direction Method for Constrained Hybrid Variational Deblurring Model
Ryan Wen Liu, Tian Xu
In this work, a new constrained hybrid variational deblurring model is developed by combining the non-convex first- and second-order total variation regularizers. Moreover, a box c…