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基于深度学习的机器人抓取位置检测方法 期刊论文
高技术通讯, 2018, 卷号: 28, 期号: 1, 页码: 58-66
Authors:  闫哲;  杜学丹;  曹淼;  蔡莹皓;  鲁涛;  王硕
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深度学习  机器人抓取  位置检测  压缩自动编码器  
一种基于深度学习的机械臂抓取方法 期刊论文
机器人, 2017, 卷号: 39, 期号: 6, 页码: 820-828,837
Authors:  杜学丹;  蔡莹皓;  鲁涛;  王硕;  闫哲
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机械臂抓取  深度学习  目标检测  分类  
Querying geo-tagged videos for vision applications using spatial metadata 期刊论文
EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2017
Authors:  Cai, Yinghao;  Lu, Ying;  Kim, Seon Ho;  Nocera, Luciano;  Shahabi, Cyrus
Favorite  |  View/Download:56/0  |  Submit date:2017/05/05
一种面向数字出版的标准符合性的测试方法及测试系统 专利
专利类型: 发明, 专利号: 201710002362.8, 申请日期: 2017-01-03,
Inventors:  冯晓;  张树武;  廖露丝;  黄樱;  关虎
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Automatic Watermeter Digit Recognition on Mobile Devices 会议论文
, Qingdao,China, 2017.8.23-8.25
Authors:  Gao, Yunze;  Chen, Yingying;  Wang, Jinqiao;  Lu, Hanqing
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Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2016, 卷号: 26, 期号: 11, 页码: 2079-2092
Authors:  Wang, Jinqiao;  Qu, Zhan;  Chen, Yingying;  Mei, Tao;  Xu, Min;  Zhang, La;  Lu, Hanqing;  Jinqiao Wang
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Image Browsing  Image Resizing  Image Retargeting  Thumbnail Generation  
A unified model sharing framework for moving object detection 期刊论文
SIGNAL PROCESSING, 2016, 期号: 124, 页码: 72-80
Authors:  Chen, Yingying;  Wang, Jinqiao;  Xu, Min;  He, Xiangjian;  Lu, Hanqing
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Moving Object Detection  Background Subtraction  Shared Model  
White matter integrity in young smokers: a tract-based spatial statistics study 期刊论文
ADDICTION BIOLOGY, 2016, 卷号: 21, 期号: 3, 页码: 679-687
Authors:  Yu, Dahua;  Yuan, Kai;  Zhang, Baohua;  Liu, Jixin;  Dong, Minghao;  Jin, Chenwang;  Luo, Lin;  Zhai, Jinquan;  Zhao, Ling;  Zhao, Ying;  Gu, Yu;  Xue, Ting;  Liu, Xin;  Lu, Xiaoqi;  Qin, Wei;  Tian, Jie
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Diffusion Tensor Imaging  Smoking  Tract-based Spatial Statistics  
Piecewise Video Condensation for Complex Scenes 会议论文
, Taipei, China, 2016.11.20-11.24
Authors:  Chen, Yingying;  Zhang, La;  Wang, Jinqiao;  Lu, Hanqing
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Exclusive Constrained Discriminative Learning for Weakly-Supervised Semantic Segmentation 会议论文
ACM Digital Library, Brisbane, Queensland, Australia, 26 – 30,October,2015
Authors:  Ying P(应鹏);  Liu J(刘静);  Lu HQ(卢汉清);  Ma SD(马颂德)
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Semantic Segmentation  Weak Supervision