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STN-enhanced message passing guided by adversarial learning for human pose estimation 期刊论文
Neurocomputing, 2021, 期号: 453, 页码: 60-72
作者:  Zhou Lu;  Chen Yingying;  Cao Congqi;  Wang Jinqiao;  Lu Hanqing
Adobe PDF(2996Kb)  |  收藏  |  浏览/下载：240/54  |  提交时间：2021/06/21
Spatial transformer network  Message passing  Limb guidance  Adversarial learning  Human pose estimation  
Macro-micro mutual learning inside compositional model for human pose estimation 期刊论文
Neurocomputing, 2021, 卷号: 449, 期号: 449, 页码: 176-188
作者:  Zhou Lu;  Chen Yingying;  Cao Congqi;  Chu Yakui;  Wang Jinqiao;  Lu Hanqing
Adobe PDF(3325Kb)  |  收藏  |  浏览/下载：243/55  |  提交时间：2021/06/21
Mutual learning  Macro-micro  BMMSE  Human pose estimation  
Binary thresholding defense against adversarial attacks 期刊论文
Neurocomputing, 2021, 卷号: 445, 期号: 445, 页码: 61-71
作者:  Yutong Wang;  Wenwen Zhang;  Tianyu Shen;  Hui Yu;  Fei-Yue Wang
Adobe PDF(1771Kb)  |  收藏  |  浏览/下载：215/60  |  提交时间：2021/06/15
Binary thresholding  Defense  Adversarial training  Adversarial attack  
A time-frequency channel attention and vectorization network for automatic depression level prediction 期刊论文
Neurocomputing, 2021, 期号: 450, 页码: 208-218
作者:  Mingyue Niu;  Bin Liu;  Jianhua Tao;  Qifei Li
Adobe PDF(2001Kb)  |  收藏  |  浏览/下载：208/57  |  提交时间：2021/06/01
Sphere embedding normalization  DenseNet  Transition layer  Time-frequency channel attention block  Time-frequency vectorization block  Depression detection  
SRGCN: Graph-based multi-hop reasoning on knowledge graphs 期刊论文
Neurocomputing, 2021, 卷号: 454, 期号: 454, 页码: 280-290
作者:  Wang, Zikang;  Li, Linjing;  Zeng, Daniel
Adobe PDF(1540Kb)  |  收藏  |  浏览/下载：236/67  |  提交时间：2021/05/31
knowledge graph  multi-hop reasoning  graph convolutional network  
MGRL: Graph neural network based inference in a Markov network with Reinforcement Learning for visual navigation 期刊论文
Neurocomputing, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Lu, Yi;  Chen, Yaran;  Zhao, Dongbin;  Li, Dong
浏览  |  Adobe PDF(976Kb)  |  收藏  |  浏览/下载：275/80  |  提交时间：2020/10/19
Visual navigation, graph neural network, Markov network, reinforcement learning, probabilistic graph model