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Concrete Defects Inspection and 3D Mapping Using CityFlyer Quadrotor Robot 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 4, 页码: 991-1002
作者:  Liang Yang;  Bing Li;  Wei Li;  Howard Brand;  Biao Jiang;  Jizhong Xiao
浏览  |  Adobe PDF(59427Kb)  |  收藏  |  浏览/下载：137/31  |  提交时间：2021/03/11
3D reconstruction  concrete inspection  deep neural network  quadrotor flying robot  visual-inertial fusion  
BAS-ADAM: An ADAM Based Approach to Improve the Performance of Beetle Antennae Search Optimizer 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 461-471
作者:  Ameer Hamza Khan;  Xinwei Cao;  Shuai Li;  Vasilios N. Katsikis;  Liefa Liao
浏览  |  Adobe PDF(4203Kb)  |  收藏  |  浏览/下载：158/32  |  提交时间：2021/03/11
Adaptive moment estimation (ADAM)  Beetle antennae search (BAM)  gradient estimation  metaheuristic optimization  nature-inspired algorithms  neural network  
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 151-178
作者:  Han Xu;  Yao Ma;  Hao-Chen Liu;  Debayan Deb;  Hui Liu;  Ji-Liang Tang;  Anil K. Jain
浏览  |  Adobe PDF(2155Kb)  |  收藏  |  浏览/下载：223/63  |  提交时间：2021/02/22
Adversarial example  model safety  robustness  defenses  deep learning.  
Asymmetric CycleGAN for image-to-image translations with uneven complexities 期刊论文
NEUROCOMPUTING, 2020, 卷号: 415, 期号: 2020, 页码: 114-122
作者:  Dou, Hao;  Chen, Chen;  Hu, Xiyuan;  Jia, Libang;  Peng, Silong
Adobe PDF(3009Kb)  |  收藏  |  浏览/下载：350/52  |  提交时间：2021/01/07
Unpaired Image Translation  CycleGAN  Asymmetric Translation  Average Image Entropy  Edge-retain Prior  
Knowledge-aware Attentive Wasserstein Adversarial Dialogue Response Generation 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2020, 卷号: 11, 期号: 4, 页码: 20
作者:  Zhang, Yingying;  Fang, Quan;  Qian, Shengsheng;  Xu, Changsheng
Adobe PDF(1626Kb)  |  收藏  |  浏览/下载：331/61  |  提交时间：2021/01/06
Dialogue system  co-attention  adversarial learning  external knowledge  
Deep Self-Evolution Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(4817Kb)  |  收藏  |  浏览/下载：420/91  |  提交时间：2020/06/02
Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning  
Improve the translational distance models for knowledge graph embedding 期刊论文
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2020, 卷号: 2020, 期号: 1, 页码: 23
作者:  Zhang, Siheng;  Sun, Zhengya;  Zhang, Wensheng
浏览  |  Adobe PDF(802Kb)  |  收藏  |  浏览/下载：360/93  |  提交时间：2020/04/07
Knowledge graph embedding  Translational distance model  Positional encoding  Self-attention  
Application of machine learning method in optical molecular imaging: a review 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 1, 页码: 16
作者:  An, Yu;  Meng, Hui;  Gao, Yuan;  Tong, Tong;  Zhang, Chong;  Wang, Kun;  Tian, Jie
Adobe PDF(5942Kb)  |  收藏  |  浏览/下载：360/59  |  提交时间：2020/03/30
optical molecular imaging  machine learning  artificial intelligence  
Task-Oriented Feature-Fused Network With Multivariate Dataset for Joint Face Analysis 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 3, 页码: 1292-1305
作者:  Lin, Xuxin;  Wan, Jun;  Xie, Yiliang;  Zhang, Shifeng;  Lin, Chi;  Liang, Yanyan;  Guo, Guodong;  Li, Stan Z.
Adobe PDF(3737Kb)  |  收藏  |  浏览/下载：378/86  |  提交时间：2020/03/30
Face  Task analysis  Training  Face recognition  Facial features  Pipelines  Attribute analysis  face analysis  face detection  landmark localization  multitask learning  
Learning visual relationship and context-aware attention for image captioning 期刊论文
Pattern Recognition, 2020, 期号: 98, 页码: 107075
作者:  Wang, Junbo;  Wang, Wei;  Wang, Liang;  Wang, Zhiyong;  Feng, Dagan;  Tan Tieniu
浏览  |  Adobe PDF(2059Kb)  |  收藏  |  浏览/下载：535/236  |  提交时间：2020/01/07
Image captioning  Relational reasoning  Context-aware attention