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Automatic Building Rooftop Extraction From Aerial Images via Hierarchical RGB-D Priors 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 卷号: 56, 期号: 12, 页码: 7369-7387
作者:  Xu, Shibiao;  Pan, Xingjia;  Li, Er;  Wu, Baoyuan;  Bu, Shuhui;  Dong, Weiming;  Xiang, Shiming;  Zhang, Xiaopeng
浏览  |  Adobe PDF(30927Kb)  |  收藏  |  浏览/下载：420/35  |  提交时间：2019/07/12
High-order conditional random field (CRF)  multilevel segmentation  RGB-D priors  rooftop extraction  
Semantic labeling in very high resolution images via a self-cascaded convolutional neural network 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 卷号: 145, 期号: 1, 页码: 78-95
作者:  Liu, Yongcheng;  Fan, Bin;  Wang, Lingfeng;  Bai, Jun;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(1679Kb)  |  收藏  |  浏览/下载：476/98  |  提交时间：2019/01/08
Semantic labeling  Convolutional neural networks (CNNs)  Multi-scale contexts  End-to-end  
Phage Display-Derived Peptide-based Dual-Modality Imaging Probe for Bladder Cancer Diagnosis and Resection Post-Instillation: A Preclinical Study 期刊论文
Molecular Cancer Therapeutics, 2018, 期号: 17, 页码: 2100-2111
作者:  Li Peng;  Wenting Shang;  Pengyu Guo;  Kunshan He;  Hongzhi Wang;  Ziyu Han;  Hongmei Jiang;  Jie Tian;  Kun Wang;  Wanhai Xu
浏览  |  Adobe PDF(1965Kb)  |  收藏  |  浏览/下载：308/49  |  提交时间：2018/10/10
Bladder Cancer  Diagnosis And Resection  Preclinical Study  
Phage Display-Derived Peptide-Based Dual-Modality Imaging Probe for Bladder Cancer Diagnosis and Resection Postinstillation: A Preclinical Study 期刊论文
MOLECULAR CANCER THERAPEUTICS, 2018, 卷号: 17, 期号: 10, 页码: 2100-2111
作者:  Peng, Li;  Shang, Wenting;  Guo, Pengyu;  He, Kunshan;  Wang, Hongzhi;  Han, Ziyu;  Jiang, Hongmei;  Tian, Jie;  Wang, Kun;  Xu, Wanhai
浏览  |  Adobe PDF(1965Kb)  |  收藏  |  浏览/下载：424/81  |  提交时间：2019/07/12
Bladder Cancer  
Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2018, 卷号: 13, 期号: 10, 页码: 2409-2422
作者:  Zhang, Hongwen;  Li, Qi;  Sun, Zhenan;  Liu, Yunfan
浏览  |  Adobe PDF(5821Kb)  |  收藏  |  浏览/下载：433/109  |  提交时间：2018/03/03
Facial Landmark Detection  Face Alignment  Fully Convolutional Network  Point Distribution Model  Weighted Regularized Mean Shift  
Three-Dimensional Attention-Based Deep Ranking Model for Video Highlight Detection 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 卷号: 20, 期号: 10, 页码: 2693-2705
作者:  Jiao,Yifan;  Li,Zhetao;  Huang,Shucheng;  Yang,Xiaoshan;  Liu,Bin;  Zhang,Tianzhu
浏览  |  Adobe PDF(4692Kb)  |  收藏  |  浏览/下载：514/183  |  提交时间：2018/10/10
Video Highlight Detection  Attention Model  Deep Ranking  
Realistic Procedural Plant Modeling from Multiple View Images 期刊论文
IEEE Transactions on Visualization and Computer Graphics, 2018, 卷号: xx, 期号: xx, 页码: xx
作者:  Jianwei Guo;  Shibiao Xu;  Dong-Ming Yan;  Zhanglin Cheng;  Marc Jaeger;  Xiaopeng Zhang
浏览  |  Adobe PDF(24904Kb)  |  收藏  |  浏览/下载：438/89  |  提交时间：2018/10/01
Three-dimensional Displays  Solid Modeling  Computational Modeling  Image Reconstruction  Shape  Geometry  Vegetation  
Large Scale Urban Scene Modeling from MVS Meshes 会议论文
, 德国慕尼黑, 2018年9月8日至14日
作者:  Lingjie Zhu;  Shuhan Shen;  Xiang Gao;  Zhanyi Hu
浏览  |  Adobe PDF(5205Kb)  |  收藏  |  浏览/下载：220/41  |  提交时间：2019/06/18
Contour Primitives of Interest Extraction Method for Microscopic Images and Its Application on Pose Measurement 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 卷号: 48, 期号: 8, 页码: 1348-1359
作者:  Qin, Fangbo;  Shen, Fei;  Zhang, Dapeng;  Liu, Xilong;  Xu, De
浏览  |  Adobe PDF(1535Kb)  |  收藏  |  浏览/下载：367/118  |  提交时间：2019/05/05
Geometric constraint  image feature extraction  microscopic vision  pose measurement  precision assembly  
Correlational examples for convolutional neural networks to detect small impurities 期刊论文
NEUROCOMPUTING, 2018, 卷号: 295, 期号: 21, 页码: 127-141
作者:  Guo, Yue;  He, Yijia;  Song, Haitao;  He, Wenhao;  Yuan, Kui
浏览  |  Adobe PDF(6876Kb)  |  收藏  |  浏览/下载：457/135  |  提交时间：2018/05/30
Impurity Detection  Multi-frame Correlation  Convolutional Neural Network  Correlational Example  Sequential Training