CASIA OpenIR

浏览/检索结果: 共4条,第1-4条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Learn with diversity and from harder samples: Improving the generalization of CNN-Based detection of computer-generated images 期刊论文
FORENSIC SCIENCE INTERNATIONAL-DIGITAL INVESTIGATION, 2020, 卷号: 35, 页码: 12
作者:  Quan, Weize;  Wang, Kai;  Yan, Dong-Ming;  Zhang, Xiaopeng;  Pellerin, Denis
收藏  |  浏览/下载:217/0  |  提交时间:2021/03/08
Image forensics  Computer-generated image  Convolutional neural network  Generalization  Negative samples  
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
Adobe PDF(2475Kb)  |  收藏  |  浏览/下载:435/102  |  提交时间:2019/12/16
Deep learning  Graph convolutional neural networks  Graph structure learning  Changeable kernel sizes  
Automatic and high-quality surface mesh generation for CAD models 期刊论文
COMPUTER-AIDED DESIGN, 2019, 卷号: 109, 页码: 49-59
作者:  Guo, Jianwei;  Ding, Fan;  Jia, Xiaohong;  Yan, Dong-Ming
收藏  |  浏览/下载:271/0  |  提交时间:2019/07/12
CAD tessellation  High-quality mesh  Remeshing  
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:564/173  |  提交时间:2019/01/08
Pseudo low rank  Data driven  Low resolution  Action recognition