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Self-Attention Based Visual-Tactile Fusion Learning for Predicting Grasp Outcomes 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2020, 卷号: 5, 期号: 4, 页码: 5827-5834
Authors:  Cui, Shaowei;  Wang, Rui;  Wei, Junhang;  Hu, Jingyi;  Wang, Shuo
Favorite  |  View/Download:12/0  |  Submit date:2020/08/31
Grasping  perception for grasping and manipulation  multi-modal perception  force and tactile sensing  
The Tianlai Cylinder Pathfinder array: System functions and basic performance analysis 期刊论文
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2020, 卷号: 63, 期号: 12, 页码: 27
Authors:  Li, JiXia;  Zuo, ShiFan;  Wu, FengQuan;  Wang, YouGang;  Zhang, JuYong;  Sun, ShiJie;  Xu, YiDong;  Yu, ZiJie;  Ansari, Reza;  Li, YiChao;  Stebbins, Albert;  Timbie, Peter;  Cong, YanPing;  Geng, JingChao;  Hao, Jie;  Huang, QiZhi;  Li, JianBin;  Li, Rui;  Liu, DongHao;  Liu, YingFeng;  Liu, Tao;  Marriner, John P.;  Niu, ChenHui;  Pen, Ue-Li;  Peterson, Jeffery B.;  Shi, HuLi;  Shu, Lin;  Song, YaFang;  Tian, HaiJun;  Wang, GuiSong;  Wang, QunXiong;  Wang, RongLi;  Wang, WeiXia;  Wang, Xin;  Yu, KaiFeng;  Zhang, Jiao;  Zhu, BoQin;  Zhu, JiaLu;  Chen, XueLei
Favorite  |  View/Download:1/0  |  Submit date:2021/01/07
interferometer  radio astronomy  neutral hydrogen  cosmology  dark energy  95  55  Br  95  55  Jz  95  75  Kk  95  85  Bh  
Underwater Bioinspired Propulsion: From Inspection to Manipulation 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 卷号: 67, 期号: 9, 页码: 7629-7638
Authors:  Wang, Yu;  Wang, Rui;  Wang, Shuo;  Tan, Min;  Yu, Junzhi
View  |  Adobe PDF(3768Kb)  |  Favorite  |  View/Download:74/26  |  Submit date:2020/06/22
Propulsion  Manipulators  Sports  Path planning  Underwater vehicles  Inspection  Bioinspired propulsion  coordinated control  underwater vehicle-manipulator system  underwater manipulation  
基于回归方法的单目相机人脸重建研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:  王鹏睿
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三维人脸重建  弱监督学习  明暗成形  网格形变  单目相机  
Low-frequency Guided Self-supervised Learning for High-fidelity 3D Face Reconstruction in the Wild 会议论文
, London, UK, 2020-7-6~2020-7-10
Authors:  Wang, Pengrui;  Lin, Chunze;  Xu, Bo;  Che, Wujun;  Wang, Quan
View  |  Adobe PDF(1568Kb)  |  Favorite  |  View/Download:49/21  |  Submit date:2020/09/11
Grading of Glioma: combined diagnostic value of amide proton transfer weighted, arterial spin labeling and diffusion weighted magnetic resonance imaging 期刊论文
BMC MEDICAL IMAGING, 2020, 卷号: 20, 期号: 1, 页码: 8
Authors:  Kang, Xiao-wei;  Xi, Yi-bin;  Liu, Ting-ting;  Wang, Ning;  Zhu, Yuan-qiang;  Wang, Xing-rui;  Guo, Fan
Favorite  |  View/Download:14/0  |  Submit date:2020/06/22
Glioma  Magnetic resonance imaging  Arterial spin labeling  Amide proton transfer  Apparent diffusion coefficient  
FOCUSING ON ATTENTION: PROSODY TRANSFER AND ADAPTATIVE OPTIMIZATION STRATEGY FOR MULTI-SPEAKER END-TO-END SPEECH SYNTHESIS 会议论文
, 网上虚拟会议, 2020-5
Authors:  Fu, Ruibo;  Tao, Jianhua;  Wen, Zhengqi;  Yi, Jiangyan;  Wang, Tao
View  |  Adobe PDF(154Kb)  |  Favorite  |  View/Download:105/49  |  Submit date:2020/06/27
prosody transfer  optimization strategy  speaker adaptation  attention  speech synthesis  
语音伪造与鉴伪的发展与挑战 期刊论文
信息安全学报, 2020, 卷号: 5, 期号: 2, 页码: 28-38
Authors:  陶建华;  傅睿博;  易江燕;  王成龙;  汪涛
View  |  Adobe PDF(432Kb)  |  Favorite  |  View/Download:122/42  |  Submit date:2020/06/27
语音伪造  语音鉴伪  发展与挑战  
Real-Time Perception and Positioning for Creature Picking of an Underwater Vehicle 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 卷号: 69, 期号: 4, 页码: 3783-3792
Authors:  Cui, Shaowei;  Wang, Yu;  Wang, Shuo;  Wang, Rui;  Wang, Wei;  Tan, Min
Adobe PDF(2662Kb)  |  Favorite  |  View/Download:30/3  |  Submit date:2020/06/22
Visual system  underwater technology  underwater object detection  
Real-Sim-Real Transfer for Real-World Robot Control Policy Learning with Deep Reinforcement Learning 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 5, 页码: 16
Authors:  Liu, Naijun;  Cai, Yinghao;  Lu, Tao;  Wang, Rui;  Wang, Shuo
View  |  Adobe PDF(6287Kb)  |  Favorite  |  View/Download:27/4  |  Submit date:2020/06/02
robot  policy learning  reality gap  simulated environment  deep reinforcement learning