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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：196/50  |  提交时间：2021/09/13
Action recognition  spatiotemporal relation  multi-branch fusion  long-term representation  video classification  
Contrastive Self-supervised Representation Learning Using Synthetic Data 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 556-567
作者:  Dong-Yu She;  Kun Xu
Adobe PDF(993Kb)  |  收藏  |  浏览/下载：197/47  |  提交时间：2021/07/20
Self-supervised learning  contrastive learning  synthetic image  convolutional neural network  representation learning  
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：284/61  |  提交时间：2021/05/24
Person re-identification (Re-ID)  thermal infrared  generative networks  attention  deep learning  
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：333/48  |  提交时间：2021/05/24
Performance evaluation  neural architecture search  biometrics  palmprint  palm vein  deep learning  
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：216/45  |  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：286/44  |  提交时间：2021/05/24
Deep learning  visual tracking  data-invariant  data-adaptive  general components  
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：173/62  |  提交时间：2021/04/22
Grasping point estimation  household objects  red, green, blue and depth (RGBD) channel image  semantic segmentation  cluttered environment  
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：186/44  |  提交时间：2021/02/23
Deep learning  fine-grained image classi¯cation  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).  
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：232/79  |  提交时间：2021/02/23
Performance evaluation  convolutional neural network (CNN)  biometrics  palmprint  palm vein  deep learning  
Elaborate Scene Reconstruction with a Consumer Depth Camera 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 443-453
作者:  Jian-Wei Li;  Wei Gao;  Yi-Hong Wu
浏览  |  Adobe PDF(3346Kb)  |  收藏  |  浏览/下载：236/57  |  提交时间：2021/02/23
3D reconstruction  image processing  geometry registration  simultaneous localization and mapping (SLAM)  volumetric integration.