CASIA OpenIR

浏览/检索结果: 共49条,第1-10条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Bilinear neural network with 3-D attention for brain decoding of motor imagery movements from the human EEG 期刊论文
Cognitive Neurodynamics, 2020, 卷号: vol. 15, 页码: 181–189
作者:  Fan, Chen-Chen;  Yang, Hongjun;  Hou, Zeng-Guang;  Ni, Zhen-Liang;  Chen, Sheng;  Fang, Zhijie
Adobe PDF(1039Kb)  |  收藏  |  浏览/下载:116/39  |  提交时间:2023/06/02
Adaptive super -resolution for person re-identification with low-resolution images 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 114, 页码: 107682
作者:  Han, Ke;  Huang, Yan;  Song, Chunfeng;  Wang, Liang;  Tan, Tieniu
Adobe PDF(2944Kb)  |  收藏  |  浏览/下载:371/44  |  提交时间:2021/05/06
Person re-identification  Super-resolution  Body regions  Adaptive feature integration  
Progressively Refined Face Detection Through Semantics-Enriched Representation Learning 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2020, 卷号: 15, 期号: 1, 页码: 1394-1406
作者:  Li, Zhihang;  Tang, Xu;  Wu, Xiang;  Liu, Jingtuo;  He, Ran
Adobe PDF(6813Kb)  |  收藏  |  浏览/下载:274/44  |  提交时间:2021/03/15
Face detection  object detection  
Part-based Structured Representation Learning for Person Re-identification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 4, 页码: 22
作者:  Li, Yaoyu;  Yao, Hantao;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(19052Kb)  |  收藏  |  浏览/下载:325/48  |  提交时间:2021/03/08
Person re-identification  representation learning  graph convolutional network  
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载:428/65  |  提交时间:2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
作者:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
Adobe PDF(4120Kb)  |  收藏  |  浏览/下载:360/65  |  提交时间:2021/03/02
COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence  
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 12, 页码: 3204-3218
作者:  Shen, Tianyu;  Wang, Jiangong;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(3530Kb)  |  收藏  |  浏览/下载:345/76  |  提交时间:2021/03/02
Image segmentation  Biomedical imaging  Fuzzy sets  Breast cancer  Breast cancer  deep learning (DL)  fuzzy classifier (FC)  interval type-2 possibilistic fuzzy c-means (IT2PFCM)  
SACNN: Spatial Adversarial Convolutional Neural Network for Textile Defect Detection 期刊论文
FIBRES & TEXTILES IN EASTERN EUROPE, 2020, 卷号: 28, 期号: 6, 页码: 127-133
作者:  Hou, Wei;  Tao, Xian;  Ma, Wenzhi;  Xu, De
Adobe PDF(3209Kb)  |  收藏  |  浏览/下载:227/9  |  提交时间:2021/03/02
textile defect detection  feature extraction  feature competition  CNN  
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Chen, Zhiqiang;  Xu, Ting-Bing;  Du, Changde;  Liu, Cheng-Lin;  He, Huiguang
浏览  |  Adobe PDF(4352Kb)  |  收藏  |  浏览/下载:321/73  |  提交时间:2021/01/27
Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.  
Inverse Procedural Modeling of Branching Structures by Inferring L-Systems 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2020, 卷号: 39, 期号: 5, 页码: 13
作者:  Guo, Jianwei;  Jiang, Haiyong;  Benes, Bedrich;  Deussen, Oliver;  Zhang, Xiaopeng;  Lischinski, Dani;  Huang, Hui
Adobe PDF(5597Kb)  |  收藏  |  浏览/下载:225/9  |  提交时间:2021/01/07
L-systems  grammar induction  procedural generation