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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：72/31 | 提交时间：2024/03/18
Crowd density estimation linear feature calibration vision transformer weakly-supervision 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：85/24 | 提交时间：2024/02/19
Monocular 3D object detection normalizing flows Swin Transformer |
| 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：73/11 | 提交时间：2024/02/19
Color correction low-light image enhancement self-supervised learning |
| Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1593-1607
作者: Lili Fan; Shen Li; Ying Li; Bai Li; Dongpu Cao; Fei-Yue Wang
Adobe PDF(23502Kb) | 收藏 | 浏览/下载：122/16 | 提交时间：2023/06/14
Automatic pavement crack detection data augmentation compensation deep learning residual feature augmentation shadow removal shadow-crack dataset |
| Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1445-1461
作者: Xiaoyu Jiang; Xiangyin Kong; Zhiqiang Ge
Adobe PDF(25936Kb) | 收藏 | 浏览/下载：135/43 | 提交时间：2023/05/29
Curse of dimensionality data augmentation data-driven modeling industrial processes machine learning |
| 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) |
| Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387
作者: Sibo Cheng; César Quilodrán-Casas; Said Ouala; Alban Farchi; Che Liu; Pierre Tandeo; Ronan Fablet; Didier Lucor; Bertrand Iooss; Julien Brajard; Dunhui Xiao; Tijana Janjic; Weiping Ding; Yike Guo; Alberto Carrassi; Marc Bocquet; Rossella Arcucci
Adobe PDF(17725Kb) | 收藏 | 浏览/下载：124/33 | 提交时间：2023/05/29
Data assimilation (DA) deep learning machine learning (ML) reduced-order-modelling uncertainty quantification (UQ) |
| Parallel Learning: Overview and Perspective for Computational Learning Across Syn2Real and Sim2Real 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 603-631
作者: Qinghai Miao; Yisheng Lv; Min Huang; Xiao Wang; Fei-Yue Wang
Adobe PDF(11937Kb) | 收藏 | 浏览/下载：945/151 | 提交时间：2023/03/02
Machine learning parallel learning parallel systems sim-to-real syn-to-real virtual-to-real |
| Complex-Valued Neural Networks: A Comprehensive Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1406-1426
作者: ChiYan Lee; Hideyuki Hasegawa; Shangce Gao
Adobe PDF(1612Kb) | 收藏 | 浏览/下载：232/54 | 提交时间：2022/08/01
Complex activation function complex backpropagation algorithm complex-valued learning algorithm complex-valued neural network deep learning |
| Visuals to Text: A Comprehensive Review on Automatic Image Captioning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1339-1365
作者: Yue Ming; Nannan Hu; Chunxiao Fan; Fan Feng; Jiangwan Zhou; Hui Yu
Adobe PDF(56128Kb) | 收藏 | 浏览/下载：184/23 | 提交时间：2022/08/01
Artificial intelligence attention mechanism encoder-decoder framework image captioning multi-modal understanding training strategies |
