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Dynamic Rigid Bodies Mining and Motion Estimation Based on Monocular Camera 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:  Gao, Xuanchang;  Liu, Xilong;  Cao, Zhiqiang;  Tan, Min;  Yu, Junzhi
Adobe PDF(8517Kb)  |  收藏  |  浏览/下载：287/27  |  提交时间：2022/06/10
Dynamic rigid bodies  Monocular camera  Motion estimation  Probabilistic field  Region confidence  
Barrier-Based Adaptive Line-of-Sight 3-D Path-Following System for a Multijoint Robotic Fish With Sideslip Compensation 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:  Dai, Shijie;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi
Adobe PDF(4440Kb)  |  收藏  |  浏览/下载：335/45  |  提交时间：2022/06/10
Robots  Robot kinematics  Adaptive systems  Navigation  Solid modeling  Force  Complex systems  3-D path-following  adaptive line-of-sight (LOS)  guidance and control  robotic fish  time-varying sideslip angle  
Task-Oriented Feature-Fused Network With Multivariate Dataset for Joint Face Analysis 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 3, 页码: 1292-1305
作者:  Lin, Xuxin;  Wan, Jun;  Xie, Yiliang;  Zhang, Shifeng;  Lin, Chi;  Liang, Yanyan;  Guo, Guodong;  Li, Stan Z.
Adobe PDF(3737Kb)  |  收藏  |  浏览/下载：343/79  |  提交时间：2020/03/30
Face  Task analysis  Training  Face recognition  Facial features  Pipelines  Attribute analysis  face analysis  face detection  landmark localization  multitask learning  
Robust Landmark Detection and Position Measurement Based on Monocular Vision for Autonomous Aerial Refueling of UAVs 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 12, 页码: 4167-4179
作者:  Sun, Siyang;  Yin, Yingjie;  Wang, Xingang;  Xu, De
Adobe PDF(2687Kb)  |  收藏  |  浏览/下载：543/182  |  提交时间：2018/10/02
Aerial refueling  landmark detection  monocular vision  multitask parallel deep convolution neural network (MPDCNN)  position measurement  
Face Detection With Different Scales Based on Faster R-CNN 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 11, 页码: 4017-4028
作者:  Wu, Wenqi;  Yin, Yingjie;  Wang, Xingang;  Xu, De
浏览  |  Adobe PDF(2762Kb)  |  收藏  |  浏览/下载：462/144  |  提交时间：2018/10/02
Deep convolutional neural network (DCNN)  deep learning  face detection  Faster R-CNN  
Body Joint Guided 3-D Deep Convolutional Descriptors for Action Recognition 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 3, 页码: 1095-1108
作者:  Cao, Congqi;  Zhang, Yifan;  Zhang, Chunjie;  Lu, Hanqing
浏览  |  Adobe PDF(1731Kb)  |  收藏  |  浏览/下载：330/31  |  提交时间：2018/02/02
Action Recognition  Body Joints  Convolutional Networks  Feature Pooling  Two-stream Bilinear Model  
Neural-Learning-Based Telerobot Control With Guaranteed Performance 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3148-3159
作者:  Yang, Chenguang;  Wang, Xinyu;  Cheng, Long;  Ma, Hongbin
浏览  |  Adobe PDF(3035Kb)  |  收藏  |  浏览/下载：302/89  |  提交时间：2018/01/05
Collision Avoidance  Guaranteed Performance  Neural Networks (Nns)  Telerobot Control  
Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 2, 页码: 485-498
作者:  Yang, Yehui;  Hu, Wenrui;  Xie, Yuan;  Zhang, Wensheng;  Zhang, Tianzhu;  Wensheng Zhang
Adobe PDF(4881Kb)  |  收藏  |  浏览/下载：643/285  |  提交时间：2016/10/22
Low-rank  Sparse Representation  Temporal Restriction  Visual Tracking  
Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 11, 页码: 2656-2669
作者:  Ren, Chuan-Xian;  Lei, Zhen;  Dai, Dao-Qing;  Li, Stan Z.
Adobe PDF(1998Kb)  |  收藏  |  浏览/下载：382/122  |  提交时间：2017/02/14
Discontinuity  Image Gradient  Order Features  Sparse Representation  Subspace Learning  
Representative Vector Machines: A Unified Framework for Classical Classifiers 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 8, 页码: 1877-1888
作者:  Gui, Jie;  Liu, Tongliang;  Tao, Dacheng;  Sun, Zhenan;  Tan, Tieniu
浏览  |  Adobe PDF(1081Kb)  |  收藏  |  浏览/下载：407/98  |  提交时间：2016/10/20
Discriminant Vector Machine (Dvm)  Pattern Classification  Representative Vector Machines (Rvms)  Sparse Representation  Support Vector Machines (Svms)