CASIA OpenIR

浏览/检索结果: 共59条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
APTMRS: Autonomous Prism Target Maintenance Robotic System for FAST 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 页码: 17
作者:  Tao, Rui;  Jing, Fengshui;  Hou, Jun;  Xing, Shiyu;  Fu, Yichen;  Fan, Junfeng;  Tan, Min
收藏  |  浏览/下载:8/0  |  提交时间:2024/07/04
Bolt assembly  end-effector  pose measurement  manipulation policies  
Improving Generalization of Deepfake Detectors by Imposing Gradient Regularization 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: 19, 期号: 2024, 页码: 5345-5356
作者:  Weinan Guan;  Wei Wang;  Jing Dong;  Bo Peng
Adobe PDF(1989Kb)  |  收藏  |  浏览/下载:44/14  |  提交时间:2024/06/21
Deepfake detection  forgery texture patterns  
Pavement Defect Detection with Deep Learning: A Comprehensive Survey 期刊论文
IEEE Transactions on Intelligent Vehicles, 2023, 卷号: 9, 期号: 3, 页码: 4292 - 4311
作者:  Lili Fan;  Dandan Wang;  Junhao Wang;  Yunjie Li;  Yifeng Cao;  Yi Liu;  Xiaoming Chen;  Yutong Wang
Adobe PDF(6287Kb)  |  收藏  |  浏览/下载:50/13  |  提交时间:2024/06/06
Deep learning  pavement defect detection  computer vision  image processing  3D image  
Toward a Fast and Robust MI-BCI: Online Adaptation of Stimulus Paradigm and Classification Model 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 12
作者:  Wang, Jiaxing;  Wang, Weiqun;  Su, Jianqiang;  Wang, Yihan;  Hou, Zeng-Guang
Adobe PDF(1810Kb)  |  收藏  |  浏览/下载:74/10  |  提交时间:2024/05/30
Brain-computer interface (BCI)  classification model adaption  information transfer rate (ITR)  motor imagery (MI) duration  stimulus paradigm adjustment  
A Multi-Modal Classification Method for Early Diagnosis of Mild Cognitive Impairment and Alzheimer's Disease Using Three Paradigms With Various Task Difficulties 期刊论文
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, 卷号: 32, 页码: 1456-1465
作者:  Chen Sheng;  Zhang Chutian;  Yang Hongjun;  Peng Liang;  Xie Haiqun;  Lv Zeping;  Hou Zeng-Guang
Adobe PDF(10190Kb)  |  收藏  |  浏览/下载:51/15  |  提交时间:2024/05/29
Dementia  multi-modal  machine learning  domain-adversarial neural network  
GAN-Based Facial Attribute Manipulation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14590-14610
作者:  Liu, Yunfan;  Li, Qi;  Deng, Qiyao;  Sun, Zhenan;  Yang, Ming-Hsuan
Adobe PDF(15297Kb)  |  收藏  |  浏览/下载:102/28  |  提交时间:2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 15
作者:  Wei, Zechen;  Liu, Yanjun;  Zhu, Tao;  Yang, Xin;  Tian, Jie;  Hui, Hui
Adobe PDF(6094Kb)  |  收藏  |  浏览/下载:101/5  |  提交时间:2024/02/22
Magnetic particle imaging  deep learning  self-attention mechanism  time-frequency spectrum  background signal  
A Graded Assessment System for Parkinsons Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 23, 页码: 29283-29292
作者:  Tong, Lina;  Liu, Dai-Song;  Peng, Liang;  Hao, Hong-Lin;  Wang, Chen
Adobe PDF(9425Kb)  |  收藏  |  浏览/下载:76/9  |  提交时间:2024/02/21
Bradykinesia grade  inertial sensors  Parkinson's disease (PD)  temporal convolutional network (TCN)  wearable device  
Exploring Explicitly Disentangled Features for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6360-6373
作者:  Li, Jingwei;  Li, Yuan;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
Adobe PDF(2432Kb)  |  收藏  |  浏览/下载:132/14  |  提交时间:2023/12/21
Domain generalization  feature disentanglement  Fourier transform  data augmentation  
IDO: Instance dual-optimization for weakly supervised object detection 期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 18
作者:  Ren, Zhida;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(3668Kb)  |  收藏  |  浏览/下载:76/7  |  提交时间:2023/11/17
Deep learning  Weakly supervised learning  Object detection  Multiple instance learning