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Pyramid attention recurrent networks for real-time guidewiresegmentation and tracking in intraoperative X-ray fluoroscopy 期刊论文
Computerized Medical Imaging and Graphics, 2020, 卷号: 83, 页码: 101734
作者:  Zhou, Yan-Jie;  Xie, Xiao-Liang;  Zhou, Xiao-Hu;  Liu, Shi-Qi;  Bian, Gui-Bin;  Hou, Zeng-Guang
Adobe PDF(2211Kb)  |  收藏  |  浏览/下载：226/50  |  提交时间：2022/06/14
Guidewire  Catheter  Segmentation  Deep learning  X-ray fluoroscopy  
Instance segmentation of apple flowers using the improved mask R-CNN model 期刊论文
biosystems engineering, 2020, 期号: 193, 页码: 264-278
作者:  Tian YN(田雨农)
Adobe PDF(4718Kb)  |  收藏  |  浏览/下载：166/44  |  提交时间：2022/01/06
Apple flower images acquisition  Apple flower images acquisition  Deep learning  MASU R-CNN  Instance segmentation  
Exploration of swimming performance for a biomimetic multi-joint robotic fish with a compliant passive joint 期刊论文
Bioinspiration & Biomimetics, 2020, 卷号: 16, 期号: 2, 页码: 14
作者:  Chen,Di;  Wu,Zhengxing;  Dong,Huijie;  Tan,Min;  Yu,Junzhi
Adobe PDF(2460Kb)  |  收藏  |  浏览/下载：349/33  |  提交时间：2021/02/18
robotic fish  biomimetic  compliant passive joint  dynamic modeling  swimming performance  
Spatial Preserved Graph Convolution Networks for Person Re-identification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 1, 页码: 14
作者:  Li, Zhaoju;  Zhou, Zongwei;  Jiang, Nan;  Han, Zhenjun;  Xing, Junliang;  Jiao, Jianbin
Adobe PDF(937Kb)  |  收藏  |  浏览/下载：225/40  |  提交时间：2021/01/06
Person re-identification  graph convolution  feature embedding  
A Multilayer and Multimodal-Fusion Architecture for Simultaneous Recognition of Endovascular Manipulations and Assessment of Technical Skills 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: PP, 期号: 99, 页码: 1-13
作者:  Xiaohu,Zhou;  Xiaoliang.Xie;  Zhenqiu,Feng;  Zengguang,Hou;  Guibin,Bian;  Ruiqi,Li;  Zhenliang,Ni;  Shiqi,Liu;  Yan-Jie Zhou
浏览  |  Adobe PDF(2286Kb)  |  收藏  |  浏览/下载：296/60  |  提交时间：2020/11/05
Endovascular manipulations  multilayer and multimodal-fusion architecture (MMFA)  percutaneous coronary intervention (PCI),  technical skill assessment  
Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 29, 页码: 9532-9545
作者:  Shi, Lei;  Zhang, Yifan;  Cheng, Jian;  Lu, Hanqing
浏览  |  Adobe PDF(2849Kb)  |  收藏  |  浏览/下载：384/149  |  提交时间：2020/11/05
Skeleton-based action recognition, graph convolutional network, adaptive graph, multi-stream network.  
Spatialflow: Bridging all tasks for panoptic segmentation 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 卷号: 31, 期号: 6, 页码: 2288-2300
作者:  Chen, Qiang;  Cheng, Anda;  He, Xiangyu;  Wang, Peisong;  Cheng, Jian
Adobe PDF(4643Kb)  |  收藏  |  浏览/下载：181/36  |  提交时间：2020/10/20
panoptic segmentation  
Improve Person Re-Identification With Part Awareness Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7468-7481
作者:  Huang, Houjing;  Yang, Wenjie;  Lin, Jinbin;  Huang, Guan;  Xu, Jiamiao;  Wang, Guoli;  Chen, Xiaotang;  Huang, Kaiqi
Adobe PDF(3927Kb)  |  收藏  |  浏览/下载：321/56  |  提交时间：2020/08/31
Person re-identification  part awareness  part segmentation  multi-task learning  
Robust one-stage object detection with location-aware classifiers 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 105, 页码: 11
作者:  Chen, Qiang;  Wang, Peisong;  Cheng, Anda;  Wang, Wanguo;  Zhang, Yifan;  Cheng, Jian
Adobe PDF(3831Kb)  |  收藏  |  浏览/下载：326/59  |  提交时间：2020/08/03
Object detetion  Classification  Localization  Feature visualization  Receptive field  
Quantitative Assessment of Upper-Limb Motor Function for Post-Stroke Rehabilitation Based on Motor Synergy Analysis and Multi-Modality Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 卷号: 28, 期号: 4, 页码: 943-952
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang;  Li, Jingyue;  Zhang, Tong;  Zhao, Jun
Adobe PDF(2148Kb)  |  收藏  |  浏览/下载：319/51  |  提交时间：2020/06/22
Post-stroke hemiparesis  upper limb functional assessment  motor synergies  multi-modality fusion  motion capture technology  electromyography (EMG)