CASIA OpenIR

浏览/检索结果: 共36条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 982-995
作者:  Tao Wang;  Qiming Chen;  Xun Lang;  Lei Xie;  Peng Li;  Hongye Su
Adobe PDF(3095Kb)  |  收藏  |  浏览/下载:82/24  |  提交时间:2024/03/18
Convolutional neural networks (CNNs)  deep learning  image processing  oscillation detection  process industries  
Unsupervised Multi-Expert Learning Model for Underwater Image Enhancement 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 708-722
作者:  Hongmin Liu;  Qi Zhang;  Yufan Hu;  Hui Zeng;  Bin Fan
Adobe PDF(59664Kb)  |  收藏  |  浏览/下载:96/22  |  提交时间:2024/02/19
Multi-expert learning  underwater image enhancement  unsupervised learning  
Depth-Guided Vision Transformer With Normalizing Flows for Monocular 3D Object Detection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 673-689
作者:  Cong Pan;  Junran Peng;  Zhaoxiang Zhang
Adobe PDF(37784Kb)  |  收藏  |  浏览/下载:84/24  |  提交时间:2024/02/19
Monocular 3D object detection  normalizing flows  Swin Transformer  
PAPS: Progressive Attention-Based Pan-sharpening 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 391-404
作者:  Yanan Jia;  Qiming Hu;  Renwei Dian;  Jiayi Ma;  Xiaojie Guo
Adobe PDF(10173Kb)  |  收藏  |  浏览/下载:79/19  |  提交时间:2024/01/23
High-resolution multispectral image  image fusion  pan-sharpening  progressive enhancement  
Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 231-239
作者:  Yahui Liu;  Bin Tian;  Yisheng Lv;  Lingxi Li;  Fei-Yue Wang
Adobe PDF(8541Kb)  |  收藏  |  浏览/下载:289/172  |  提交时间:2024/01/02
Content-based Transformer  deep learning  feature aggregator  local attention  point cloud classification  
Feature Matching via Topology-Aware Graph Interaction Model 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 113-130
作者:  Yifan Lu;  Jiayi Ma;  Xiaoguang Mei;  Jun Huang;  Xiao-Ping Zhang
Adobe PDF(26799Kb)  |  收藏  |  浏览/下载:296/168  |  提交时间:2024/01/02
Feature matching  graph cut  outlier filtering  topology preserving  
Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging With Convergence Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2136-2153
作者:  Baoshun Shi;  Kexun Liu
Adobe PDF(16304Kb)  |  收藏  |  浏览/下载:108/47  |  提交时间:2023/09/22
Bounded denoiser  compressed sensing magnetic resonance imaging (CSMRI)  dual frames  plug-and-play priors  regularization  
Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1530-1543
作者:  Guijun Ma;  Zidong Wang;  Weibo Liu;  Jingzhong Fang;  Yong Zhang;  Han Ding;  Ye Yuan
Adobe PDF(4250Kb)  |  收藏  |  浏览/下载:168/70  |  提交时间:2023/06/14
Deep transfer learning  domain adaptation  hyperparameter selection  lithium-ion batteries (LIBs)  particle swarm optimization  state of health estimation (SOH)  
Dual-Prior Integrated Image Reconstruction for Quanta Image Sensors Using Multi-Agent Consensus Equilibrium 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1407-1420
作者:  Dan Zhang;  Qiusheng Lian;  Yueming Su;  Tengfei Ren
Adobe PDF(35567Kb)  |  收藏  |  浏览/下载:79/25  |  提交时间:2023/05/29
Dual prior  image reconstruction  multi-agent consensus equilibrium (MACE)  quanta image sensors (QIS)  
Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者:  Fanghui Bi;  Xin Luo;  Bo Shen;  Hongli Dong;  Zidong Wang
Adobe PDF(2741Kb)  |  收藏  |  浏览/下载:163/60  |  提交时间:2023/05/29
Data science  high-dimensional and incomplete data  knowledge acquisition  industrial application  nonnegative latent factor analysis (NLFA)  proximal alternating direction method of multipliers  representation learning