中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共66条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
A Streamlined 3-D Magnetic Particle Imaging System With a Two-Stage Excitation Feed-Through Compensation Strategy 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 1-10
作者:  Yin L(尹琳);  Li W(李玮);  Bian ZW(卞忠伟);  Chen ZW(陈梓威);  Liu YJ(刘晏君);  Zhong J(钟景);  Zhang SX(张水兴);  Du Y(杜洋);  Hui H(惠辉);  Tian J(田捷)
Adobe PDF(3893Kb)  |  收藏  |  浏览/下载：50/22  |  提交时间：2024/03/26
3-D imaging  compensation strategy  magnetic particle imaging (MPI)  
Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework 期刊论文
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2023, 卷号: 31, 期号: 1, 页码: 18-28
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Lv, Jiaqi;  Su, Hu;  Wang, Yu;  Ma, Hongxuan
Adobe PDF(2970Kb)  |  收藏  |  浏览/下载：50/3  |  提交时间：2024/02/22
Vehicle dynamics  Robots  Propulsion  Predictive models  Biological system modeling  Robustness  Disturbance observers  
An adaptive multi-frame parallel iterative method for accelerating real-time magnetic particle imaging reconstruction 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2023, 卷号: 68, 期号: 24, 页码: 16
作者:  Shen, Yusong;  Zhang, Liwen;  Shang, Yaxin;  Jia, Guang;  Yin, Lin;  Zhang, Hui;  Tian, Jie;  Yang, Guanyu;  Hui, Hui
收藏  |  浏览/下载：76/0  |  提交时间：2024/02/22
magnetic particle imaging  real-time reconstruction  parallel iterative method  parallel computation  
Key-Part Attention Retrieval for Robotic Object Recognition 期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2024, 卷号: 29, 期号: 3, 页码: 644-655
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo
Adobe PDF(2164Kb)  |  收藏  |  浏览/下载：71/4  |  提交时间：2024/02/22
Training  Visualization  Image recognition  Cameras  Object recognition  Convolutional neural networks  Data mining  key-part attention  retrieval  robotic object recognition  
Semantic enhancement based adaptive geometric encoding network for low overlap point cloud registration 期刊论文
DISPLAYS, 2024, 卷号: 81, 页码: 8
作者:  Zhao, Yuehua;  Zhang, Jiguang;  Xu, Shibiao;  Ma, Jie;  Wang, Huishan
收藏  |  浏览/下载：65/0  |  提交时间：2024/02/21
Point cloud registration  Low overlap  Reliable correspondences  Geometric-and-semantic consistency  
Adaptive Adversarial Logits Pairing 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 卷号: 20, 期号: 2, 页码: 16
作者:  Wu, Shangxi;  Sang, Jitao;  Xu, Kaiyan;  Zheng, Guanhua;  Xu, Changsheng
收藏  |  浏览/下载：72/0  |  提交时间：2023/12/21
Adversarial defense  adaptive  dropout  
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2023, 卷号: 42, 期号: 5, 页码: 16
作者:  Zhang, Yuxin;  Tang, Fan;  Dong, Weiming;  Huang, Haibin;  Ma, Chongyang;  Lee, Tong-Yee;  Xu, Changsheng
收藏  |  浏览/下载：121/0  |  提交时间：2023/12/21
Arbitrary style transfer  contrastive learning  style encoding  
A learnable EEG channel selection method for MI-BCI using efficient channel attention 期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:  Tong, Lina;  Qian, Yihui;  Peng, Liang;  Wang, Chen;  Hou, Zeng-Guang
Adobe PDF(2021Kb)  |  收藏  |  浏览/下载：66/2  |  提交时间：2023/12/21
brain-computer interface  motor imagery  channel selection  deep learning  attention mechanism  
Adaptive Long-Neck Network With Atrous-Residual Structure for Instance Segmentation 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 7, 页码: 7786-7797
作者:  Geng, Wenjie;  Cao, Zhiqiang;  Guan, Peiyu;  Ren, Guangli;  Yu, Junzhi;  Jing, Fengshui
收藏  |  浏览/下载：129/0  |  提交时间：2023/11/17
Adaptive long-neck (ALN) network  atrous-residual structure  instance segmentation  
sEMG-Based Gesture Recognition Method for Coal Mine Inspection Manipulator Using Multistream CNN 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 10, 页码: 11082-11090
作者:  Tong, Lina;  Zhang, Mingjia;  Ma, Hanghang;  Wang, Chen;  Peng, Liang
Adobe PDF(2841Kb)  |  收藏  |  浏览/下载：83/1  |  提交时间：2023/11/17
Sensors  Muscles  Inspection  Coal mining  Robots  Feature extraction  Gesture recognition  Coal mine inspection manipulator  gestures recognition  multistream convolutional neural network (CNN)  surface electromyography (sEMG)  time--frequency graph feature