CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共6条,第1-6条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
Progressive rectification network for irregular text recognition 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 2, 页码: 1-14
作者:  Gao, Yunze;  Chen, Yingying;  Wang, Jinqiao;  Lu, Hanqing
浏览  |  Adobe PDF(1487Kb)  |  收藏  |  浏览/下载:417/104  |  提交时间:2020/04/07
irregular text recognition  progressive rectification  iterative refinement  
Dynamic Collaborative Tracking 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 10, 页码: 3035-3046
作者:  Zhu, Guibo;  Zhang, Zhaoxiang;  Wang, Jinqiao;  Wu, Yi;  Lu, Hanqing
浏览  |  Adobe PDF(2492Kb)  |  收藏  |  浏览/下载:535/160  |  提交时间:2018/10/11
Correlation filter (CF)  distracter suppression  online learning  visual tracking  
Multi-View 3D Object Retrieval With Deep Embedding Network 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 12, 页码: 5526-5537
作者:  Guo, Haiyun;  Wang, Jinqiao;  Gao, Yue;  Li, Jianqiang;  Lu, Hanqing
浏览  |  Adobe PDF(2793Kb)  |  收藏  |  浏览/下载:679/269  |  提交时间:2017/02/14
Convolutional Neural Network  Multi-view 3d Object Retrieval  Triplet Loss  
ActiveAd: A novel framework of linking ad videos to online products 期刊论文
NEUROCOMPUTING, 2016, 期号: 185, 页码: 82-92
作者:  Wang, Jinqiao;  Xu, Min;  Lu, Hanqing;  Burnett, Ian
浏览  |  Adobe PDF(2037Kb)  |  收藏  |  浏览/下载:430/149  |  提交时间:2016/10/20
Ad Video Analysis  Visual Search  Tag Aggregation  Textual Search  
Multiple deep features learning for object retrieval in surveillance videos 期刊论文
IET COMPUTER VISION, 2016, 卷号: 10, 期号: 4, 页码: 268-271
作者:  Guo, Haiyun;  Wang, Jinqiao;  Lu, Hanqing
浏览  |  Adobe PDF(2306Kb)  |  收藏  |  浏览/下载:522/191  |  提交时间:2016/10/20
Object Retrieval  Multiple Deep Features Learning  Convolutional Neural Network  
Online video synopsis of structured motion 期刊论文
NEUROCOMPUTING, 2014, 期号: 135, 页码: 155-162
作者:  Fu, Wei;  Wang, Jinqiao;  Gui, Liangke;  Lu, Hanqing;  Ma, Songde
浏览  |  Adobe PDF(1552Kb)  |  收藏  |  浏览/下载:491/157  |  提交时间:2015/08/12
Video Synopsis  Motion Structure