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| Research on Voiceprint Recognition of Camouflage Voice Based on Deep Belief Network 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 947-962 作者: Nan Jiang; Ting Liu![](/image/person.jpg)
Adobe PDF(1905Kb)  |   收藏  |  浏览/下载:218/48  |  提交时间:2021/11/26 Disguised voice recognition deep belief network feature extraction Gammatone frequency cepstrum coefficients (GFCC) dropout |
| 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:232/49  |  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:189/47  |  提交时间:2021/09/13 Action recognition spatiotemporal relation multi-branch fusion long-term representation video classification |
| 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![](/image/person.jpg)
Adobe PDF(1864Kb)  |   收藏  |  浏览/下载:211/43  |  提交时间:2021/05/24 Deep audio-visual learning audio-visual separation and localization correspondence learning generative models representation 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:277/64  |  提交时间:2021/05/24 Group activity recognition (GAR) human activity recognition scene understanding video analysis computer vision |
| 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:279/41  |  提交时间:2021/05/24 Deep learning visual tracking data-invariant data-adaptive general components |
| Structured Computational Modeling of Human Visual System for No-reference Image Quality Assessment 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 204-218 作者: Wen-Han Zhu; Wei Sun ; Xiong-Kuo Min; Guang-Tao Zhai; Xiao-Kang Yang
Adobe PDF(1343Kb)  |   收藏  |  浏览/下载:183/61  |  提交时间:2021/04/22 Image quality assessment (IQA) no-reference (NR) structural computational modeling human visual system visual feature extraction |
| Humans and Robots: A Mutually Inclusive Relationship in a Contagious World 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 185-203 作者: Akash Gupta; Anshuman Singh; Deepak Bharadwaj; Amit Kumar Mondal
Adobe PDF(1295Kb)  |   收藏  |  浏览/下载:220/58  |  提交时间:2021/04/22 COVID-19 coronavirus telepresence delivery robots medical robots |
| PLS-CCA Heterogeneous Features Fusion-based Low-resolution Human Detection Method for Outdoor Video Surveillance 期刊论文 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 2, 页码: 136-146 作者: Hong-Kai Chen ; Xiao-Guang Zhao ; Shi-Ying Sun ; Min Tan![](/image/person.jpg)
浏览  |   Adobe PDF(13495Kb)  |   收藏  |  浏览/下载:221/40  |  提交时间:2021/02/23 Low-resolution human detection partial least squares canonical correlation analysis heterogeneous features outdoor video surveillance. |
| A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation 期刊论文 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 2, 页码: 119-135 作者: Bo Zhao ; Jiashi Feng; Xiao Wu; Shuicheng Yan
浏览  |   Adobe PDF(5409Kb)  |   收藏  |  浏览/下载:182/41  |  提交时间:2021/02/23 Deep learning fine-grained image classi¯cation semantic segmentation convolutional neural network (CNN) recurrent neural network (RNN). |