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基于生成对抗网络的人脸图像增强方法研究 学位论文
, 中国科学院大学: 中国科学院大学, 2021
Authors:  窦昊
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人脸图像增强  生成对抗网络  近红外人脸图像增强  人脸超分辨  跨年龄人脸变换  
基于决策 的深度神经网络对抗鲁棒性研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2021
Authors:  陈伟伦
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深度神经网络  对抗鲁棒性  基于决策的黑盒对抗攻击  对抗样本  
Object Reconstruction Based on Attentive Recurrent Network from Single and Multiple Images 期刊论文
NEURAL PROCESSING LETTERS, 2021, 期号: 53, 页码: 18
Authors:  Gao, Zishu;  Li, En;  Wang, Zhe;  Yang, Guodong;  Lu, Jiwu;  Ouyang, Bo;  Xu, Dawei;  Liang, Zize
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Object reconstruction  Convolutional LSTM  Visual attention  Robotic application  
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  
Edge-Aware Monocular Dense Depth Estimation with Morphology 会议论文
, Milan, Italy, 2021-1
Authors:  Zhi, Li;  Xiao yang, Zhu;  Hai tao, Yu;  Qi, Zhang;  Yong shi, Jiang
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Novel Feature Fusion Module Based Detector for Small Insulator Defect Detection 期刊论文
IEEE SENSORS JOURNAL, 2021, 期号: 2021, 页码: 8
Authors:  Gao ZS(高子舒)
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insulator defect detection, anchor-free object detection, data augmentation, aerial image  
复杂环境下的图像目标检测与可视化 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, 2020
Authors:  潘兴甲
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目标检测  动态修正  旋转卷积  密集排列  自监督  大尺度目标  图像可视化  
基于图神经网络的视觉图表达方法 学位论文
, 中国科学院自动化所: 中国科学院大学, 2020
Authors:  卢毅
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图神经网络,图表达,图像分类,语义分割,视觉导航,概率图,深度 强化学习  
Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 29, 页码: 9532-9545
Authors:  Shi, Lei;  Zhang, Yifan;  Cheng, Jian;  Lu, Hanqing
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Skeleton-based action recognition, graph convolutional network, adaptive graph, multi-stream network.  
Facial image super-resolution guided by adaptive geometric features 期刊论文
EURASIP Journal on Wireless Communications and Networking, 2020, 卷号: 2020, 期号: 1, 页码: 15
Authors:  Fan, Zhenfeng;  Hu, Xiyuan;  Chen, Chen;  Wang, Xiaolian;  Peng, Silong
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Convolutional neural networks  Depth map  Face super-resolution