CASIA OpenIR

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2019年度CASIA OpenIR成果存缴与使用报告 其他
2019-12-13
Authors:  张桂英
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基于多标签分类的属性识别问题研究 学位论文
工学博士, 北京: 中国科学院自动化研究所, 2019
Authors:  李乔哲
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属性识别  多标签分类  行人属性识别  群体属性识别  
Vision-Based Target-Following Guider for Mobile Robot 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 12, 页码: 9360-9371
Authors:  Zhang, Mingyi;  Liu, Xilong;  Xu, De;  Cao, Zhiqiang;  Yu, Junzhi
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Mobile robot  target following  target redetection  visual servo  
行人分割与识别研究 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:  宋纯锋
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行人图像分割,行人识别,步态识别,弱监督学习  
GaitNet: An end-to-end network for gait based human identification 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 96, 期号: 106988, 页码: 11
Authors:  Song, Chunfeng;  Huang, Yongzhen;  Huang, Yan;  Jia, Ning;  Wang, Liang
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Gait recognition  Video-based human identification  End-to-end CNN  Joint learning  
跨摄像头行人重识别问题研究与应用 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  曹敏
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行人重识别  度量学习  重排序  奇异问题  区域特定的度量函数  排序损失函数  群体信息  近邻样本  
Cross-modality interactive attention network for multispectral pedestrian detection 期刊论文
INFORMATION FUSION, 2019, 卷号: 50, 页码: 20-29
Authors:  Zhang, Lu;  Liu, Zhiyong;  Zhang, Shifeng;  Yang, Xu;  Qiao, Hong;  Huang, Kaizhu;  Hussain, Amir
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Pedestrian detection  Modality fusion  Cross-modality attention  Deep neural networks  
Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge Distillation 会议论文
, 中国澳门, 2019-8
Authors:  Li QZ(李乔哲);  Zhao X(赵鑫);  He R(赫然);  Huang KQ(黄凯奇)
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Depth Information Guided Crowd Counting for complex crowd scenes 期刊论文
PATTERN RECOGNITION LETTERS, 2019, 卷号: 125, 页码: 563-569
Authors:  Xu, Mingliang;  Ge, Zhaoyang;  Jiang, Xiaoheng;  Cui, Gaoge;  Lv, Pei;  Zhou, Bing;  Xu, Changsheng
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Crowd counting  Depth information  Pedestrian detection  Density estimation  
Depth Information Guided Crowd Counting for complex crowd scenes 期刊论文
PATTERN RECOGNITION LETTERS, 2019, 卷号: 125, 页码: 563-569
Authors:  Xu, Mingliang;  Ge, Zhaoyang;  Jiang, Xiaoheng;  Cui, Gaoge;  Lv, Pei;  Zhou, Bing;  Xu, Changsheng
Favorite  |  View/Download:4/0  |  Submit date:2019/12/16
Crowd counting  Depth information  Pedestrian detection  Density estimation