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多通道语音增强优化建模方法研究 学位论文
, 中科院自动化研究所: 中国科学院大学, 2021
Authors:  李冠君
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多通道语音增强,非点源噪声场景,点源噪声场景,复杂噪声场景,自动语音识别  
面向计算机视觉的神经网络架构设计 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2021
Authors:  李志航
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神经网络架构设计  网络架构搜索  图像分类  目标检测  
基于特征学习和关系推理的视频行为识别 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, 2021
Authors:  胡古月
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视频理解  行为分析  特征学习  关系推理  
压缩和激活网络及其在图像识别中的应用 研究报告
2021
Authors:  孙刚
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A Comprehensive Review on Group Activity Recognition in Videos 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 334-350
Authors:  Li-Fang Wu;  Qi Wang;  Meng Jian;  Yu Qiao;  Bo-Xuan Zhao
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Group activity recognition (GAR)  human activity recognition  scene understanding  video analysis  computer vision  
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
Authors:  Hao Zhu;  Man-Di Luo;  Rui Wang;  Ai-Hua Zheng;  Ran He
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Deep audio-visual learning  audio-visual separation and localization  correspondence learning  generative models  representation learning  
CNN-G: convolutional neural network combined with graph for image segmentation with theoretical analysis 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2021, 卷号: 0, 期号: 0, 页码: 0
Authors:  Lu, Yi;  Chen, Yaran;  Zhao, Dongbin;  Liu, Bao;  Lai, Zhichao;  Chen, Jianxin
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Graph neural network, image segmentation, self-attention, structure pattern learning.  
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
Authors:  Wei Jia;  Jian Gao;  Wei Xia;  Yang Zhao;  Hai Min;  Jing-Ting Lu
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Performance evaluation  convolutional neural network (CNN)  biometrics  palmprint  palm vein  deep learning  
An Overview of Calibration Technology of Industrial Robots 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 23-36
Authors:  Zhibin Li;  Shuai Li;  Xin Luo
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Absolute pose accuracy  identification method  industrial robots  parameter identification  robot calibration technology  robot parameters  
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
Authors:  Niu MY(牛明月)
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Sphere embedding normalization  DenseNet  Transition layer  Time-frequency channel attention block  Time-frequency vectorization block  Depression detection