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An Immersive Virtual Reality System for Rodents in Behavioral and Neural Research 期刊论文
International Journal of Automation and Computing, 2021, 期号: 18(5), 页码: 838-848
作者:  Li Liu;  Zi-yang Wang;  Yu Liu;  Chun Xu
Adobe PDF(1271Kb)  |  收藏  |  浏览/下载：319/91  |  提交时间：2022/04/07
Virtual space  flexible control  multi-sensory interactions  visual programming  context cognition  
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：220/58  |  提交时间：2021/09/13
Action recognition  spatiotemporal relation  multi-branch fusion  long-term representation  video classification  
A Fast Vision-inertial Odometer Based on Line Midpoint Descriptor 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 667-669
作者:  Wen-Kuan Li;  Hao-Yuan Cai;  Sheng-Lin Zhao;  Ya-Qian Liu;  Chun-Xiu Liu
Adobe PDF(10350Kb)  |  收藏  |  浏览/下载：212/54  |  提交时间：2021/07/20
High efficiency  visual-inertial odometry (VIO)  non-linear optimization  points and lines  sliding window  
A Spatial Cognitive Model that Integrates the Effects of Endogenous and Exogenous Information on the Hippocampus and Striatum 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 632-644
作者:  Jing Huang;  He-Yuan Yang;  Xiao-Gang Ruan;  Nai-Gong Yu;  Guo-Yu Zuo;  Hao-Meng Liu
Adobe PDF(1915Kb)  |  收藏  |  浏览/下载：272/73  |  提交时间：2021/07/20
Exogenous and endogenous information  hippocampus, striatum  spatial cognition  brain-inspired computation  
Identification and classification of driving behaviour at a signalized intersection using support vector machine 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 480-491
作者:  Soni Lanka Karri;  Liyanage Chandratilak De Silva;  Daphne Teck Ching Lai;  Shiaw Yin Yong
Adobe PDF(1497Kb)  |  收藏  |  浏览/下载：589/329  |  提交时间：2021/05/24
Signalized intersection  driving behaviour  machine learning  support vector machine (SVM)  road accidents  
PokerNet: Expanding Features Cheaply via Depthwise Convolutions 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 432-442
作者:  Wei Tang;  Yan Huang;  Liang Wang
Adobe PDF(1163Kb)  |  收藏  |  浏览/下载：251/43  |  提交时间：2021/05/24
Deep learning  depthwise convolution  lightweight deep model  model compression  model acceleration  
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：237/54  |  提交时间：2021/05/24
Deep audio-visual learning  audio-visual separation and localization  correspondence learning  generative models  representation learning  
Suction-based Grasp Point Estimation in Cluttered Environment for Robotic Manipulator Using Deep Learning-based Affordance Map 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 277-287
作者:  Tri Wahyu Utomo, Adha Imam Cahyadi, Igi Ardiyanto
Adobe PDF(913Kb)  |  收藏  |  浏览/下载：191/70  |  提交时间：2021/04/22
Grasping point estimation  household objects  red, green, blue and depth (RGBD) channel image  semantic segmentation  cluttered environment  
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：247/67  |  提交时间：2021/04/22
COVID-19  coronavirus  telepresence  delivery robots  medical robots  
Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 155-169
作者:  Wen-Jing Hong;  Peng Yang;  Ke Tang
Adobe PDF(946Kb)  |  收藏  |  浏览/下载：174/51  |  提交时间：2021/04/22
Large-scale multi-objective optimization  high-dimensional search space  evolutionary computation  evolutionary algorithms  scalability