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CASIA OpenIR
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Weakly Aligned Feature Fusion for Multimodal Object Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Zhang, Lu;  Liu, Zhiyong;  Zhu, Xiangyu;  Song, Zhan;  Yang, Xu;  Lei, Zhen;  Qiao, Hong
收藏  |  浏览/下载：171/0  |  提交时间：2022/01/27
Object detection  Feature extraction  Detectors  Robustness  Cameras  Automation  Training  Deep learning  feature fusion  multimodal object detection  pedestrian detection  
Cross-modality interactive attention network for multispectral pedestrian detection 期刊论文
INFORMATION FUSION, 2019, 期号: 50, 页码: 20-29
作者:  Zhang, Lu;  Liu, Zhiyong;  Zhang, Shifeng;  Yang, Xu;  Qiao, Hong;  Huang, Kaizhu;  Hussain, Amir
Adobe PDF(2952Kb)  |  收藏  |  浏览/下载：426/67  |  提交时间：2019/07/11
Pedestrian detection  Modality fusion  Cross-modality attention  Deep neural networks  
Enhanced biologically inspired model for image recognition based on a novel patch selection method with moment 期刊论文
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2019, 卷号: 17, 期号: 2, 页码: 16
作者:  Lu, Yanfeng;  Jia, Lihao;  Qiao, Hong;  Li, Yi;  Qi, Zongshuai
Adobe PDF(394Kb)  |  收藏  |  浏览/下载：299/52  |  提交时间：2019/04/23
Image recognition  classification  BIM  oriented Gaussian-Hermite moment  Gabor features  patch selection  
A Fast Algorithm of Convex Hull Vertices Selection for Online Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 792-806
作者:  Ding, Shuguang;  Nie, Xiangli;  Qiao, Hong;  Zhang, Bo
浏览  |  Adobe PDF(3029Kb)  |  收藏  |  浏览/下载：378/128  |  提交时间：2017/12/30
Convex Hull Decomposition  Kernel  Online Classification  Projection  
Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2017, 卷号: PP, 期号: 99, 页码: 1-12
作者:  Shihui Ying;  Zhijie Wen;  Jun Shi;  Yaxin Peng;  Jigen Peng;  Hong Qiao
浏览  |  Adobe PDF(3665Kb)  |  收藏  |  浏览/下载：468/205  |  提交时间：2018/01/06
Classification  Distance Metric Learning  Intrinsic Algorithm  Matrix Manifold  Semisupervised Learning.  
Adaptive Probabilistic Tracking with Discriminative Feature Selection for Mobile Robot 会议论文
IEEE Ineternational Conference on Systems, Man, and Cybernetics, Budapest, October 9-12, 2016
作者:  Wang, Peng;  Luo, Yongkang;  Li, Wanyi;  Qiao, Hong
浏览  |  Adobe PDF(1402Kb)  |  收藏  |  浏览/下载：355/105  |  提交时间：2016/10/16
Object Tracking  Mobile Robot  Discrinimative Feature Selection  
Workpiece localization with shadow detection and removing 会议论文
, Shenzhen, China, Shenzhen, China, Shenzhen, China, Shenzhen, China, Shenzhen, China, 12-14 Dec. 2013, 12-14 Dec. 2013, 12-14 Dec. 2013, 12-14 Dec. 2013, 12-14 Dec. 2013
作者:  Qin, Zhengke;  Zhu, Wenjun;  Wang, Peng;  Qiao, Hong
浏览  |  Adobe PDF(1341Kb)  |  收藏  |  浏览/下载：275/113  |  提交时间：2017/06/13
An Efficient Tree Classifier Ensemble-Based Approach for Pedestrian Detection 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2011, 卷号: 41, 期号: 1, 页码: 107-117
作者:  Xu, Yanwu;  Cao, Xianbin;  Qiao, Hong
收藏  |  浏览/下载：125/0  |  提交时间：2015/08/12
Efficient Classification  False-positive Rate (Fpr)  Pedestrian Detection  Performance Evaluation  Radial Basis Function (Rbf) Neural Network.  
Associated evolution of a support vector machine-based classifier for pedestrian detection 期刊论文
INFORMATION SCIENCES, 2009, 卷号: 179, 期号: 8, 页码: 1070-1077
作者:  Cao, X. B.;  Xu, Y. W.;  Chen, D.;  Qiao, H.
收藏  |  浏览/下载：162/0  |  提交时间：2015/08/12
Pedestrian Detection System  Support Vector Machine  Evolutionary Method  
Improved Shape Context algorithm for online fast recognition-an application in pedestrian detection from a moving vehicle 会议论文
2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM, Xian, PEOPLES R CHINA, JUN 03-05, 2009
作者:  Wang, Min;  Wang, Jian-Qing;  Qiao, Hong;  Cao, Xian-Bin
收藏  |  浏览/下载：115/0  |  提交时间：2017/01/12
Automated Highways / Computational Complexity / Object Detection / Object Recognition / Computational Complexity / Geometrical Distortion / Intelligent Transportation / Object Recognition / Online Fast Recognition / Pedestrian Detection System Online