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RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments 会议论文
, Sydney, Australia, 2019.12.12-2019.12.15
作者:  Zhen-Liang Ni;  Gui-Bin Bian;  Xiao-Hu Zhou;  Zeng-Guang Hou;  Xiao-Liang Xie;  Chen Wang;  Yan-Jie Zhou;  Rui-Qi Li;  Zhen Li
Adobe PDF(2316Kb)  |  收藏  |  浏览/下载:236/41  |  提交时间:2022/06/15
surgical instrument segmentation  Robotics and Vision  
A Two-Stage Framework for Real-Time Guidewire Endpoint Localization 会议论文
, 中国,深圳, 10.13-10.17
作者:  Li, Rui-Qi;  Bian, Gui-Bin;  Zhou, Xiao-Hu;  Xie, Xiao-Liang;  Ni, Zhen-Liang;  Hou, Zeng-Guang
Adobe PDF(568Kb)  |  收藏  |  浏览/下载:161/43  |  提交时间:2022/01/14
High-Voltage Power Transmission Tower Detection Based on Faster R-CNN and YOLO-V3 会议论文
, 广州, 2019.7.27
作者:  Hao Wang;  Guodong Yang;  En Li;  Yunong Tian;  Meng Zhao;  Zize Liang
Adobe PDF(883Kb)  |  收藏  |  浏览/下载:157/58  |  提交时间:2021/06/18
object detection, images acquisition, power tower detection, Faster R-CNN, YOLO-V3  
Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention 期刊论文
IET Image Processing, 2019, 卷号: 13, 期号: 13, 页码: 2579-2586
作者:  Prasong Pusit;  Xiaoliang,Xie;  Zeng-Guang Hou
浏览  |  Adobe PDF(2646Kb)  |  收藏  |  浏览/下载:228/66  |  提交时间:2020/11/05
image sequences  blood vessels  video signal processing  object detection  
A Grasping CNN with Image Segmentation for Mobile Manipulating Robot 会议论文
, Dali, China, 6-8 Dec. 2019
作者:  Yu, Yingying;  Cao, Zhiqiang;  Liang, Shuang;  Liu, Zhicheng;  Yu, Junzhi;  Chen, Xuechao
Adobe PDF(4054Kb)  |  收藏  |  浏览/下载:247/63  |  提交时间:2020/09/12
Prediction-Based Seabed Terrain Following Control for an Underwater Vehicle-Manipulator System 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 51, 期号: 无, 页码: 无
作者:  Cai, Mingxue;  Wang, Yu;  Wang, Shuo;  Wang, Rui;  Cheng, Long;  Tan, Min
浏览  |  Adobe PDF(2339Kb)  |  收藏  |  浏览/下载:249/62  |  提交时间:2020/05/07
Seabed Terrain Following Control (STFC)  Seabed Terrain Prediction  Underwater Vehicle Control  UVMS  
Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention 期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 13, 页码: 2579-2586
作者:  Pusit, Prasong;  Xie, Xiao-Liang;  Hou, Zeng-Guang
浏览  |  Adobe PDF(2646Kb)  |  收藏  |  浏览/下载:357/73  |  提交时间:2020/03/30
blood vessels  medical image processing  surgery  image sequences  video signal processing  image filtering  object detection  X-ray imaging  object tracking  stroke width variation filter  region detection  local binary patterns  guide-wire recognition  conventional MSER methods  maximally stable extremal regions  guide-wire position  anatomical skeleton contours  training data  X-ray video sequence  percutaneous coronary intervention surgery  region area range filter  X-ray video monitoring  guide-wire tip detection  modified multifilters  training templates  
A Gallery-Guided Graph Architecture for Sequential Impurity Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 期号: 0, 页码: 149105-149116
作者:  He, Wenhao;  Song, Haitao;  Guo, Yue;  Yin, Xiaoyi;  Wang, Xiaonan;  Bian, Guibin;  Qian, Wen
浏览  |  Adobe PDF(3588Kb)  |  收藏  |  浏览/下载:321/55  |  提交时间:2020/03/30
Impurities  Proposals  Feature extraction  Training  Convolutional neural networks  Task analysis  Impurity detection  gallery-guided graph  feature embedding  graph convolutional neural network  
A Novel and Efficient CVAE-GAN-Based Approach With Informative Manifold for Semi-Supervised Anomaly Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 2019, 期号: 7, 页码: 88903-88916
作者:  Bian, Jiang;  Hui, Xiaolong;  Sun, Shiying;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(31078Kb)  |  收藏  |  浏览/下载:321/47  |  提交时间:2019/12/16
Semi-supervised anomaly detection  conditional variational auto-encoder  generative adversarial networks  informative manifold  structural similarity loss  
Convolutional LSTM: A Deep Learning Method for Motion Intention Recognition based on Spatiotemporal EEG Data 会议论文
, Sydney, Australia, 2019-12-12
作者:  Zhijie Fang;  Weiqun Wang;  Zeng-Guang Hou
浏览  |  Adobe PDF(474Kb)  |  收藏  |  浏览/下载:317/107  |  提交时间:2019/11/07