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Recognition of Endovascular Manipulations using Recurrent Neural Networks 会议论文
, 德国, 7.23-7.27
作者:  Li, Rui-Qi;  Zhou, Xiao-Hu;  Bian, Gui-Bin;  Xie, Xiao-Liang;  Hou, Zeng-Guang
Adobe PDF(990Kb)  |  收藏  |  浏览/下载:139/33  |  提交时间:2022/01/14
Towards Rich Feature Discovery with Class Activation Maps Augmentation for Person Re-Identification 会议论文
, Long Beach, United States, June 16-20
作者:  Yang, Wenjie;  Huang, Houjing;  Zhang, Zhang;  Chen, Xiaotang;  Huang, Kaiqi
Adobe PDF(1481Kb)  |  收藏  |  浏览/下载:193/51  |  提交时间:2021/06/21
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:200/71  |  提交时间:2021/06/18
object detection, images acquisition, power tower detection, Faster R-CNN, YOLO-V3  
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition 会议论文
, Long Beach, CA, United states, June 16, 2019 - June 20, 2019
作者:  Shi, Lei;  Zhang, Yifan;  Cheng, Jian;  Lu, Hanqing
浏览  |  Adobe PDF(691Kb)  |  收藏  |  浏览/下载:267/69  |  提交时间:2021/01/26
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:245/72  |  提交时间:2020/11/05
image sequences  blood vessels  video signal processing  object detection  
ODE-inspired Network Design for Single Image Super-Resolution 会议论文
, Long Beach, CA, June 16th - June 20th
作者:  He, Xiangyu;  Mo, Zitao;  Wang, Peisong;  Liu, Yang;  Yang, Mingyuan;  Cheng, Jian
浏览  |  Adobe PDF(1921Kb)  |  收藏  |  浏览/下载:233/62  |  提交时间:2020/08/07
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:398/80  |  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:378/68  |  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  
Skeleton-Based Action Recognition With Gated Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 11, 页码: 3247-3257
作者:  Cao, Congqi;  Lan, Cuiling;  Zhang, Yifan;  Zeng, Wenjun;  Lu, Hanqing;  Zhang, Yanning
收藏  |  浏览/下载:309/0  |  提交时间:2020/03/30
Skeleton  Logic gates  Task analysis  Recurrent neural networks  Matrix converters  Three-dimensional displays  Convolutional neural networks  Skeleton  action recognition  gated connection  convolutional neural networks  
Recurrent Prediction with Spatio-temporal Attention for Crowd Attribute Recognition 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2019, 卷号: 30, 期号: Early Access, 页码: 1 - 1
作者:  Li, Qiaozhe;  Zhao, Xin;  He, Ran;  Huang, Kaiqi
浏览  |  Adobe PDF(2648Kb)  |  收藏  |  浏览/下载:425/108  |  提交时间:2020/01/14
Crowd video understanding , Attribute recognition , Attention mechanism , Multi-label classification