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IRDCLNet: Instance Segmentation of Ship Images Based on Interference Reduction and Dynamic Contour Learning in Foggy Scenes 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 9, 页码: 6029-6043
作者:  Sun, Yuxin;  Su, Li;  Luo, Yongkang;  Meng, Hao;  Zhang, Zhi;  Zhang, Wen;  Yuan, Shouzheng
收藏  |  浏览/下载：233/0  |  提交时间：2022/11/14
Marine vehicles  Image segmentation  Meteorology  Feature extraction  Interference  Object detection  Visualization  Foggy scene  ship instance segmentation  interference reduction module  dynamic contour learning  
Global Mask R-CNN for marine ship instance segmentation 期刊论文
NEUROCOMPUTING, 2022, 卷号: 480, 页码: 257-270
作者:  Sun, Yuxin;  Su, Li;  Luo, Yongkang;  Meng, Hao;  Li, Wanyi;  Zhang, Zhi;  Wang, Peng;  Zhang, Wen
收藏  |  浏览/下载：268/0  |  提交时间：2022/06/06
Instance segmentation  Ship dataset  Ship instance segmentation  Precise RoI Pooling  Global Mask Head  
DVFENet: Dual-branch voxel feature extraction network for 3D object detection 期刊论文
NEUROCOMPUTING, 2021, 卷号: 459, 页码: 201-211
作者:  He, Yunqian;  Xia, Guihua;  Luo, Yongkang;  Su, Li;  Zhang, Zhi;  Li, Wanyi;  Wang, Peng
收藏  |  浏览/下载：238/0  |  提交时间：2021/12/28
Point cloud  3D object detection  Graph convolutional network  Attention mechanism  Decoupled RPN  
A Robust Deep Affinity Network for Multiple Ship Tracking 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 20
作者:  Zhang, Wen;  He, Xujie;  Li, Wanyi;  Zhang, Zhi;  Luo, Yongkang;  Su, Li;  Wang, Peng
收藏  |  浏览/下载：193/0  |  提交时间：2021/11/02
Complex marine scenes  joint global region modeling (JGRM) module  marine surveillance  motion-matching optimization (MMO) module  multiple ship tracking (MST)  
A Multi-Stream Feature Fusion Approach for Traffic Prediction 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2022, 卷号: 23, 期号: 2, 页码: 1456-1466
作者:  Zhishuai Li;  Gang Xiong;  Yonglin Tian;  Yisheng Lv;  Yuanyuan Chen;  Pan Hui;  Xiang Su
Adobe PDF(3248Kb)  |  收藏  |  浏览/下载：419/76  |  提交时间：2020/10/15
Traffic prediction, graph convolutional neural network, deep learning, multi-stream  
WAGNN: A Weighted Aggregation Graph Neural Network for robot skill learning 期刊论文
ROBOTICS AND AUTONOMOUS SYSTEMS, 2020, 卷号: 130, 页码: 9
作者:  Zhang, Fengyi;  Liu, Zhiyong;  Xiong, Fangzhou;  Su, Jianhua;  Qiao, Hong
Adobe PDF(1550Kb)  |  收藏  |  浏览/下载：380/61  |  提交时间：2020/07/20
Skill transfer learning  Serial structures  Robot skill learning  Graph Neural Network  
An integrated ship segmentation method based on discriminator and extractor 期刊论文
IMAGE AND VISION COMPUTING, 2020, 卷号: 93, 页码: 12
作者:  Zhang, Wen;  He, Xujie;  Li, Wanyi;  Zhang, Zhi;  Luo, Yongkang;  Su, Li;  Wang, Peng
收藏  |  浏览/下载：253/0  |  提交时间：2020/04/07
Ship segmentation  Sea fog  Classification  Interference Factor Discriminator  Ship extractor  
Graph-Based Registration and Blending for Undersea Image Stitching 期刊论文
ROBOTICA, 2020, 卷号: 38, 期号: 3, 页码: 396-409
作者:  Yang, Xu;  Liu, Zhi-Yong;  Qiao, Hong;  Su, Jian-Hua;  Ji, Da-Xiong;  Zang, Ai-Yun;  Huang, Hai
Adobe PDF(3950Kb)  |  收藏  |  浏览/下载：336/9  |  提交时间：2020/03/30
Undersea image stitching  Feature correspondence  Graph matching  Energy minimization  Nonsubmodular function  
Radiomics based on multicontrast MRI can precisely differentiate among glioma subtypes and predict tumour-proliferative behaviour 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 4, 页码: 1986-1996
作者:  Su, Changliang;  Jiang, Jingjing;  Zhang, Shun;  Shi, Jingjing;  Xu, Kaibin;  Shen, Nanxi;  Zhang, Jiaxuan;  Li, Li;  Zhao, Lingyun;  Zhang, Ju;  Qin, Yuanyuan;  Liu, Yong;  Zhu, Wenzhen
收藏  |  浏览/下载：301/0  |  提交时间：2019/12/16
Radiomics  Glioma  Neoplasm grading  Cell proliferation  Magnetic resonance imaging  
Integrated thermal assembly using hierarchical kernel regression method 期刊论文
ADVANCED ROBOTICS, 2019, 卷号: 33, 期号: 22, 页码: 1194-1208
作者:  Su, Jianhua;  Chen, Bin;  Liu, Chuankai;  Yang, Xu;  Liu, Zhiyong;  Qiao, Hong
Adobe PDF(3406Kb)  |  收藏  |  浏览/下载：385/66  |  提交时间：2019/12/16
Hierarchical kernel regression  integration thermal assembly model  interference-fit