CASIA OpenIR

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View-graph construction framework for robust and efficient structure-from-motion 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 114, 页码: 9
作者:  Cui, Hainan;  Shi, Tianxin;  Zhang, Jun;  Xu, Pengfei;  Meng, Yiping;  Shen, Shuhan
收藏  |  浏览/下载:285/0  |  提交时间:2021/04/06
Structure-from-motion  View-graph construction  Epipolar geometry computation  
Realtime multi-scale scene text detection with scale-based region proposal network 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 98, 页码: 14
作者:  He, Wenhao;  Zhang, Xu-Yao;  Yin, Fei;  Luo, Zhenbo;  Ogier, Jean-Marc;  Liu, Cheng-Lin
收藏  |  浏览/下载:256/0  |  提交时间:2020/03/30
Scene text detection  Multi-scale  Speedup  Scale-based region proposal network  
Learning graph structure via graph convolutional networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 95, 期号: -, 页码: 308-318
作者:  Zhang, Qi;  Chang, Jianlong;  Meng, Gaofeng;  Xu, Shibiao;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2475Kb)  |  收藏  |  浏览/下载:461/109  |  提交时间:2019/12/16
Deep learning  Graph convolutional neural networks  Graph structure learning  Changeable kernel sizes  
Pseudo low rank video representation 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 85, 期号: 1, 页码: 50-59
作者:  Yu, Tingzhao;  Wang, Lingfeng;  Guo, Chaoxu;  Gu, Huxiang;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(1456Kb)  |  收藏  |  浏览/下载:610/181  |  提交时间:2019/01/08
Pseudo low rank  Data driven  Low resolution  Action recognition  
Point correspondence by a new third order graph matching algorithm 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 65, 期号: 0, 页码: 108-118
作者:  Yang, Xu;  Qiao, Hong;  Liu, Zhi-Yong
浏览  |  Adobe PDF(1539Kb)  |  收藏  |  浏览/下载:451/133  |  提交时间:2017/03/09
Graph Matching  Point Correspondence  High Order Constraints  Adjacency Tensor  
Robust support vector machines based on the rescaled hinge loss function 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 63, 页码: 139-148
作者:  Xu, Guibiao;  Cao, Zheng;  Hu, Bao-Gang;  Principe, Jose C.
收藏  |  浏览/下载:191/0  |  提交时间:2017/02/14
Support Vector Machine  Robustness  Rescaled Hinge Loss  Half-quadratic Optimization  
M4L: Maximum margin Multi-instance Multi-cluster Learning for scene modeling 期刊论文
PATTERN RECOGNITION, 2013, 卷号: 46, 期号: 10, 页码: 2711-2723
作者:  Zhang, Tianzhu;  Liu, Si;  Xu, Changsheng;  Lu, Hanqing
收藏  |  浏览/下载:208/0  |  提交时间:2015/08/12
Scene Understanding  Maximum Margin Clustering  Multiple Instance Learning (Mil)  Gaussian Mixture Model (Gmm)  Constrained Concave-convex Procedure (Cccp)