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A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 965-981
作者:  Yong-Chao Li;  Rui-Sheng Jia;  Ying-Xiang Hu;  Hong-Mei Sun
Adobe PDF(10448Kb)  |  收藏  |  浏览/下载:46/22  |  提交时间:2024/03/18
Crowd density estimation  linear feature calibration  vision transformer  weakly-supervision learning  
More than Lightening: A Self-supervised Low-light Image Enhancement Method Capable for Multiple Degradations 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 622-637
作者:  Han Xu;  Jiayi Ma;  Yixuan Yuan;  Hao Zhang;  Xin Tian;  Xiaojie Guo
Adobe PDF(25490Kb)  |  收藏  |  浏览/下载:50/9  |  提交时间:2024/02/19
Color correction  low-light image enhancement  self-supervised learning  
Parallel Light Fields: A Perspective and A Framework 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 542-544
作者:  Fei-Yue Wang;  Yu Shen
Adobe PDF(4533Kb)  |  收藏  |  浏览/下载:83/16  |  提交时间:2024/01/23
Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 74-87
作者:  Bogang Qu;  Zidong Wang;  Bo Shen;  Hongli Dong;  Hongjian Liu
Adobe PDF(2856Kb)  |  收藏  |  浏览/下载:123/64  |  提交时间:2024/01/02
Decentralized state estimation (SE)  measurements with anomalies  minimum error entropy  unscented Kalman filter  wide-area power systems