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Cascade learning from adversarial synthetic images for accurate pupil detection 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 88, 期号: 2020, 页码: 584-594
作者:  Gou, Chao;  Zhang, Hui;  Wang, Kunfeng;  Wang, Fei-Yue;  Ji, Qiang
浏览  |  Adobe PDF(2057Kb)  |  收藏  |  浏览/下载：410/116  |  提交时间：2019/07/12
Cascade regression  GANs  Pupil detection  
Efficient conic fitting with an analytical Polar-N-Direction geometric distance 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 90, 页码: 415-423
作者:  Wu, Yihong;  Wang, Haoren;  Tang, Fulin;  Wang, Zhiheng
浏览  |  Adobe PDF(2113Kb)  |  收藏  |  浏览/下载：423/156  |  提交时间：2019/05/06
Conic fitting  Geometric distance  Sampson distance  
Accurate and efficient ground-to-aerial model alignment 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 76, 期号: 76, 页码: 288-302
作者:  Gao, Xiang;  Hu, Lihua;  Cui, Hainan;  Shen, Shuhan;  Hu, Zhanyi
浏览  |  Adobe PDF(6450Kb)  |  收藏  |  浏览/下载：419/145  |  提交时间：2018/10/09
Image Based Modeling  Ground-to-aerial Model Alignment  Ground-to-aerial Image Matching  
Articulated motion and deformable objects 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 79, 期号: 1, 页码: 55-64
作者:  Wan, Jun;  Escalera, Sergio;  Perales, Francisco J.;  Kittler, Josef
浏览  |  Adobe PDF(500Kb)  |  收藏  |  浏览/下载：355/102  |  提交时间：2018/10/08
Articulated Motion And Deformable Objects  Pose Estimation  Action Recognition  Gesture Recognition  Face Analysis  
Tracks selection for robust, efficient and scalable large-scale structure from motion 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 72, 期号: 72, 页码: 341-354
作者:  Cui, Hainan;  Shen, Shuhan;  Hu, Zhanyi;  Cui Hainan(崔海楠)
浏览  |  Adobe PDF(5402Kb)  |  收藏  |  浏览/下载：568/190  |  提交时间：2018/01/03
Tracks Selection  Bundle Adjustment  Structure From Motion  
A joint cascaded framework for simultaneous eye detection and eye state estimation 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 67, 期号: 1, 页码: 23-31
作者:  Gou, Chao;  Wu, Yue;  Wang, Kang;  Wang, Kunfeng;  Wang, Fei-Yue;  Ji, Qiang
浏览  |  Adobe PDF(1337Kb)  |  收藏  |  浏览/下载：697/309  |  提交时间：2017/05/08
Eye Detection  Eye State Estimation  Learning-by-synthesis  Cascade Regression Framework