1 code implementation • 6 Feb 2024 • Yuxu Lu, Dong Yang, Yuan Gao, Ryan Wen Liu, Jun Liu, Yu Guo
Additionally, we suggest a multi-receptive field extraction module (MEM) to attenuate the loss of image texture details caused by GC nonlinear and OLS linear transformations.
no code implementations • 14 Nov 2023 • Chenjie Zhao, Ryan Wen Liu, Jingxiang Qu, Ruobin Gao
To further promote the development of maritime UAV-based object detection, this paper provides a comprehensive review of challenges, relative methods, and UAV aerial datasets.
no code implementations • 11 Oct 2023 • Jingxiang Qu, Ryan Wen Liu, Chenjie Zhao, Yu Guo, Sendren Sheng-Dong Xu, Fenghua Zhu, Yisheng Lv
The accurate and efficient vessel draft reading (VDR) is an important component of intelligent maritime surveillance, which could be exploited to assist in judging whether the vessel is normally loaded or overloaded.
1 code implementation • 15 Sep 2023 • Jingxiang Qu, Ryan Wen Liu, Yuan Gao, Yu Guo, Fenghua Zhu, Fei-Yue Wang
Real-time transportation surveillance is an essential part of the intelligent transportation system (ITS).
no code implementations • 19 Apr 2023 • Yu Guo, Ryan Wen Liu, Jiangtian Nie, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato
To eliminate the influences of adverse weather conditions, we propose a dual attention and dual frequency-guided dehazing network (termed DADFNet) for real-time visibility enhancement.
1 code implementation • 17 Apr 2023 • Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren
The presence of non-homogeneous haze can cause scene blurring, color distortion, low contrast, and other degradations that obscure texture details.
2 code implementations • 22 Feb 2023 • Yu Guo, Ryan Wen Liu, Jingxiang Qu, Yuxu Lu, Fenghua Zhu, Yisheng Lv
To further improve vessel traffic surveillance, it becomes necessary to fuse the AIS and video data to simultaneously capture the visual features, identity and dynamic information for the vessels of interest.
no code implementations • IEEE Transactions on Industrial Informatics 2022 • Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Yanli Yuan, Zehui Xiong, Member, IEEE, Han Yu
—The revolutionary advances in machine learning and data mining techniques have contributed greatly to the rapid developments of maritime Internet of Things (IoT).
no code implementations • CVPR 2021 • Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng
To improve visual quality under different weather/imaging conditions, we propose a real-time light correction method to recover the degraded scenes in the cases of sandstorms, underwater, and haze.
no code implementations • 10 Jan 2021 • Maohan Liang, Ryan Wen Liu, Shichen Li, Zhe Xiao, Xin Liu, Feng Lu
Based on the massive vessel trajectories collected, the CAE can learn the low-dimensional representations of informative trajectory images in an unsupervised manner.
1 code implementation • 9 Aug 2020 • Yu Guo, Yuxu Lu, Ryan Wen Liu, Meifang Yang, Kwok Tai Chui
To suppress the effect of unwanted noise on imaging performance, a deep learning-based blind denoising framework is further introduced to promote the visual quality of enhanced image.
no code implementations • 27 Mar 2020 • Zhaoyang Sun, Wenxuan Liu, Feng Liu, Ryan Wen Liu, Shengwu Xiong
In this paper, we propose a novel unified adversarial disentangling network to further decompose face images into four independent components, i. e., personal identity, lips makeup style, eyes makeup style and face makeup style.
no code implementations • 13 May 2019 • Yan Li, Ryan Wen Liu, Zhao Liu, Jingxian Liu
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.
1 code implementation • 19 Feb 2019 • 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, object recognition and tracking, etc.
no code implementations • 19 Feb 2019 • Qiaoling Shu, Chuansheng Wu, Zhe Xiao, Ryan Wen Liu
High-quality dehazing performance is highly dependent upon the accurate estimation of transmission map.
no code implementations • 8 Aug 2018 • Jinming Duan, Weicheng Xie, Ryan Wen Liu, Christopher Tench, Irene Gottlob, Frank Proudlock, Li Bai
The retinal layer boundary model consists of 9 open parametric contours representing the 9 retinal layers in OCT images.
no code implementations • 31 Aug 2013 • 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.