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| Computational Intelligence in Remote Sensing Image Registration: A survey 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 1-17 作者: Yue Wu; Jun-Wei Liu; Chen-Zhuo Zhu; Zhuang-Fei Bai; Qi-Guang Miao; Wen-Ping Ma; Mao-Guo Gong 浏览  |  Adobe PDF(995Kb)  |  收藏  |  浏览/下载:240/64  |  提交时间:2021/02/23 Computational intelligence evolutionary computation neural network deep learning remote sensing image registration |
| 2D and 3D Palmprint and Palm Vein Recognition Based on Neural Architecture Search 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 377-409 作者: Wei Jia; Wei Xia; Yang Zhao; Hai Min; Yan-Xiang Chen Adobe PDF(15758Kb)  |  收藏  |  浏览/下载:277/42  |  提交时间:2021/05/24 Performance evaluation neural architecture search biometrics palmprint palm vein deep learning |
| A Comprehensive Review on Group Activity Recognition in Videos 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 334-350 作者: Li-Fang Wu; Qi Wang; Meng Jian; Yu Qiao; Bo-Xuan Zhao Adobe PDF(1415Kb)  |  收藏  |  浏览/下载:262/61  |  提交时间:2021/05/24 Group activity recognition (GAR) human activity recognition scene understanding video analysis computer vision |
| Deep Audio-Visual Learning: A Survey 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 351-376 作者: Hao Zhu; Man-Di Luo; Rui Wang; Ai-Hua Zheng; Ran He Adobe PDF(1864Kb)  |  收藏  |  浏览/下载:191/36  |  提交时间:2021/05/24 Deep audio-visual learning audio-visual separation and localization correspondence learning generative models representation learning |
| Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 311-333 作者: Xiao-Qin Zhang; Run-Hua Jiang; Chen-Xiang Fan; Tian-Yu Tong; Tao Wang Peng-Cheng Huang Adobe PDF(1787Kb)  |  收藏  |  浏览/下载:259/38  |  提交时间:2021/05/24 Deep learning visual tracking data-invariant data-adaptive general components |
| Learning Deep RGBT Representations for Robust Person Re-identification 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 443-456 作者: Ai-Hua Zheng; Zi-Han Chen; Cheng-Long Li; Jin Tang; Bin Luo Adobe PDF(1832Kb)  |  收藏  |  浏览/下载:252/49  |  提交时间:2021/05/24 Person re-identification (Re-ID) thermal infrared generative networks attention deep learning |
| Hybrid Approach to Document Anomaly Detection: An Application to Facilitate RPA in Title Insurance 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 55-72 作者: Abhijit Guha; Debabrata Samanta 浏览  |  Adobe PDF(1485Kb)  |  收藏  |  浏览/下载:190/53  |  提交时间:2021/02/23 Anomaly detection title insurance autoencoder one-class support vector machine (OSVM) term frequency – inverse document frequency (TF-IDF) robotic process automation dimensionality reduction |
| A Performance Evaluation of Classic Convolutional Neural Networks for 2D and 3D Palmprint and Palm Vein Recognition 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 18-44 作者: Wei Jia; Jian Gao; Wei Xia; Yang Zhao; Hai Min; Jing-Ting Lu 浏览  |  Adobe PDF(2680Kb)  |  收藏  |  浏览/下载:212/76  |  提交时间:2021/02/23 Performance evaluation convolutional neural network (CNN) biometrics palmprint palm vein deep learning |
| Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914 作者: Isaac Baffour Senkyire; Zhe Liu Adobe PDF(1308Kb)  |  收藏  |  浏览/下载:208/47  |  提交时间:2021/11/26 Abdominal organ, supervised segmentation semi-supervised segmentation evaluation metrics image segmentation machine learning |
| STRNet: Triple-stream Spatiotemporal Relation Network for Action Recognition 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 718-730 作者: Zhi-Wei Xu; Xiao-Jun Wu; Josef Kittler Adobe PDF(1129Kb)  |  收藏  |  浏览/下载:169/40  |  提交时间:2021/09/13 Action recognition spatiotemporal relation multi-branch fusion long-term representation video classification |