TF-REF-RNN: Time-Frequency and Reference Signal Feature Fusion Recurrent Neural Network for Underwater Backscatter Signal Separation

Autor: Jun Liu, Shenghua Gong, Tong Zhang, Zhenxiang Zhao, Hao Dong, Jie Tan

Publikováno v: Remote Sensing, Vol 16, Iss 19, p 3635 (2024)

Underwater wireless sensor networks play an important role in exploring the oceans as part of an integrated space–air–ground–ocean network. Because underwater energy is limited, the equipment’s efficiency is significantly impacted by the batt

Externí odkaz: https://doaj.org/article/bd0faa308a5f470c8390e8c75021120f

A Scale-Adaptive Matching Algorithm for Underwater Acoustic and Optical Images

Autor: Jun Liu, Benyuan Li, Wenxue Guan, Shenghua Gong, Jiaxin Liu, Junhong Cui

Publikováno v: Sensors, Vol 20, Iss 15, p 4226 (2020)

Underwater acoustic and optical data fusion has been developed in recent decades. Matching of underwater acoustic and optical images is a fundamental and critical problem in underwater exploration because it usually acts as the key step in many appli

Externí odkaz: https://doaj.org/article/45b79c5a70014b71aa774102f6337a97

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

Autor: Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wul, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

Publikováno v: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d4b7616ca574d79a1b121e0491dc3239
https://doi.org/10.1109/cvprw56347.2022.00118

Research on detection method of bleeding point in two-dimensional DSA image based on parametric color imaging

Autor: Jiaxin Liu, Xiang Zhou, Wenxue Guan, Shenghua Gong, Jun Liu

Publikováno v: Computers in Biology and Medicine. 146:105496

Digital Subtraction Angiography (DSA) has become an essential method in diagnosing and detecting vascular bleeding points. According to the frame number sequence, doctors subjectively analyze gray-black DSA data to diagnose vascular bleeding points.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::531ded9b54d82e399e5b0a79333653cb
https://doi.org/10.1016/j.compbiomed.2022.105496