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| 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![](/image/person.jpg)
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![](/image/person.jpg)
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![](/image/person.jpg)
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 |