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SARPNET: Shape attention regional proposal network for liDAR-based 3D object detection 期刊论文
NEUROCOMPUTING, 2020, 卷号: 379, 页码: 53-63
作者:  Ye, Yangyang;  Chen, Houjin;  Zhang, Chi;  Hao, Xiaoli;  Zhang, Zhaoxiang
Adobe PDF(2738Kb)  |  收藏  |  浏览/下载：254/2  |  提交时间：2020/03/30
Shape attention  3D shape priors  Feature encoder  3D object detection  LiDAR point cloud  
A Novel Solution for Multi-Camera Object Tracking 会议论文
Proc. IEEE International Conference on Image Processing 2014, Paris, France, 2014-10-01
作者:  Weihua Chen;  Lijun Cao;  Xiaotang Chen;  Kaiqi Huang
浏览  |  Adobe PDF(297Kb)  |  收藏  |  浏览/下载：325/140  |  提交时间：2016/12/30
Cameras    image Fusion    object Tracking  
Information Theoretic Subspace Clustering 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2016, 卷号: 27, 期号: 12, 页码: 2643-2655
作者:  He, Ran;  Wang, Liang;  Sun, Zhenan;  Zhang, Yingya;  Li, Bo;  Bo LI
浏览  |  Adobe PDF(2269Kb)  |  收藏  |  浏览/下载：474/197  |  提交时间：2016/08/11
Correntropy  Group Sparsity  Low-rank Representation (Lrr)  Subspace Clustering  
Severely Blurred Object Tracking by Learning Deep Image Representations 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2016, 卷号: 26, 期号: 2, 页码: 319-331
作者:  Ding, Jianwei;  Huang, Yongzhen;  Liu, Wei;  Huang, Kaiqi
浏览  |  Adobe PDF(3657Kb)  |  收藏  |  浏览/下载：337/114  |  提交时间：2016/06/14
Deep Learning  Object Tracking  Severe Blur  
Robust Subspace Clustering With Complex Noise 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 11, 页码: 4001-4013
作者:  Ran He(赫然);  Yingya Zhang;  Zhenan Sun;  Qiyue Yin;  He, Ran
浏览  |  Adobe PDF(2575Kb)  |  收藏  |  浏览/下载：346/111  |  提交时间：2015/09/23
Subspace Clustering  Subspace Segmentation  Correntropy  Half-quadratic Minimization  
Tracking by local structural manifold learning in a new SSIR particle filter 期刊论文
NEUROCOMPUTING, 2015, 卷号: 161, 页码: 277-289
作者:  Ding, Jianwei;  Tang, Yunqi;  Liu, Wei;  Huang, Yongzhen;  Huang, Kaiqi
Adobe PDF(3389Kb)  |  收藏  |  浏览/下载：335/88  |  提交时间：2015/09/23
Tracking  Local Structural Manifold  Ssir Particle Filter