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Adaptive Attention Annotation Model: Optimizing the Prediction Path Through Dependency Fusion 期刊论文
KSII Transactions on Internet and Information Systems, 2019, 期号: 9, 页码: 4665-4683
Authors:  Wang Fangxin(王方心);  Liu Jie;  Zhang Shuwu;  Zhang Guixuan;  Zheng Yang;  Li Xiaoqian;  Liang Wei;  Li Yuejun
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Image Annotation  Multiple Dependencies  Self-attention  Prediction Path  Triplet Margin Loss  
A Review on Object Detection Based on Deep Convolutional Neural Networks for Autonomous Driving 会议论文
, 中国江西省南昌市, 2019-6-3
Authors:  Lu JL(卢佳琳);  Tang SM(汤淑明);  Wang JQ(王金桥);  Zhu HB(朱海兵);  Wang YK(王云宽)
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基于微惯性技术的行人航迹推演研究及位姿感知系统设计 学位论文
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2019
Authors:  吴源
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Imu  运动感知  航迹推演  室内定位  人机交互  Motion Perception  Pedestrian Dead-reckoning  Indoor Positioning  Human-computer Interaction  
基于特征学习的目标检测技术研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  朱优松
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目标检测  特征学习  卷积神经网络  深度学习  
复杂场景视频表示方法及其应用研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  于廷照
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视频表示  时空卷积  注意力机制  低秩分解  无监督学习  
A Hierarchical Contextual Attention-based Network for Sequential Recommendation 期刊论文
Neurocomputing, 2019, 期号: no, 页码: no
Authors:  Qiang Cui;  Shu Wu;  Yan Huang;  Liang Wang
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Sequential Recommendation  Short-term Interest  Context  Attention Mechanism  Recurrent Neural Network  
Iterative Relaxed Collaborative Representation With Adaptive Weights Learning for Noise Robust Face Hallucination 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 5, 页码: 1284-1295
Authors:  Liu, Licheng;  Li, Shutao;  Chen, C. L. Philip
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Relaxed collaborative representation  face hallucination  locality regularization  adaptively weights learning  noise robust coding  
基于自适应动态规划的可重构机器人系统分散控制方法研究 研究报告
2019
Authors:  董博
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可重构机器人  分散控制  自适应动态规划  滑模控制  最优控制  动力学耦合效应  关节力矩估计  谐波传动  
Elite Loss for scene text detection 期刊论文
Neurocomputing, 2019, 期号: 333, 页码: 284-291
Authors:  Zhao X(赵旭);  Zhao CY(赵朝阳);  Guo H(郭海云);  Zhu YS(朱优松);  Tang M(唐明);  Wang JQ(王金桥)
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Scene Text Detection  场景文本检测  Elite Loss  精英损失函数  Object Detection  目标检测  
A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83
Authors:  Wu, Yuan;  Zhu, Haibing;  Du, Qingxiu;  Tang, Shuming
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Inertial Measurement Unit (Imu)  Pedestrian Dead-reckoning  Indoor Navigation  Technical Route  General Framework