6 citations · 10 across the 6 of their papers we have counts for
9 papers
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…
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…