OPT OpenIR

浏览/检索结果: 共21条,第1-10条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Bio-Inspired Representation Learning for Visual Attention Prediction 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 7, 页码: 3562-3575
作者:  Yuan, Yuan;  Ning, Hailong;  Lu, Xiaoqiang
Adobe PDF(2877Kb)  |  收藏  |  浏览/下载:154/0  |  提交时间:2021/07/12
Bio-inspired  center-bias prior  contrast features  densely connected  reduction-attention  semantic features  visual attention prediction (VAP)  
Low-Rank 2-D Neighborhood Preserving Projection for Enhanced Robust Image Representation 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 5, 页码: 1859–1872
作者:  Lu, Yuwu;  Lai, Zhihui;  Li, Xuelong;  Wong, Wai Keung;  Yuan, Chun;  Zhang, David
Adobe PDF(1718Kb)  |  收藏  |  浏览/下载:230/0  |  提交时间:2019/04/12
2-D neighborhood preserving projection (2DNPP)  image representation  low-rank  robust feature extraction  
A Hybrid Level Set With Semantic Shape Constraint for Object Segmentation 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 5, 页码: 1558–1569
作者:  Wang, Bin;  Yuan, Xiuying;  Gao, Xinbo;  Li, Xuelong;  Tao, Dacheng
Adobe PDF(3013Kb)  |  收藏  |  浏览/下载:262/0  |  提交时间:2019/04/12
Active contour model (ACMs)  image segmentation  kernelization  level set method (LSM)  shape context  shape prior  topology-preserving  
Key Frame Extraction in the Summary Space 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 6, 页码: 1923-1934
作者:  Li, Xuelong;  Zhao, Bin;  Lu, Xiaoqiang;  Lu, XQ (reprint author), Chinese Acad Sci, Ctr Opt Imagery Anal & Learning, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(2123Kb)  |  收藏  |  浏览/下载:256/1  |  提交时间:2018/07/09
Diverse  Key Frame  Representative  Summary Space  
Harmonious Genetic Clustering 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 1, 页码: 199-214
作者:  Huang, Faliang;  Li, Xuelong;  Zhang, Shichao;  Zhang, Jilian
Adobe PDF(2549Kb)  |  收藏  |  浏览/下载:150/1  |  提交时间:2018/12/12
Data Clustering  Eugenic Theory  Genetic Clustering  Mating Operator  
Template Deformation-Based 3-D Reconstruction of Full Human Body Scans From Low-Cost Depth Cameras 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 3, 页码: 695-708
作者:  Liu, Zhenbao;  Huang, Jinxin;  Bu, Shuhui;  Han, Junwei;  Tang, Xiaojun;  Li, Xuelong
Adobe PDF(1406Kb)  |  收藏  |  浏览/下载:216/1  |  提交时间:2017/04/06
3-d Reconstruction  Deformation Optimization  Depth Cameras  Full Human Body  Template Deformation  
Efficient and Robust Learning for Sustainable and Reacquisition-Enabled Hand Tracking 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 4, 页码: 945-958
作者:  Aziz, Muhammad Ali Abdul;  Niu, Jianwei;  Zhao, Xiaoke;  Li, Xuelong
Adobe PDF(1955Kb)  |  收藏  |  浏览/下载:154/1  |  提交时间:2016/08/18
Computer Vision  Histograms Of Oriented Gradient (Hog)  Local Binary Pattern (Lbp)  Machine Learning  Mean Shift Implanted Particle Filter  
Weakly Supervised Human Fixations Prediction 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 1, 页码: 258-269
作者:  Zhang, Luming;  Li, Xuelong;  Nie, Liqiang;  Yang, Yi;  Xia, Yingjie;  Xia, YJ
Adobe PDF(1963Kb)  |  收藏  |  浏览/下载:236/2  |  提交时间:2016/01/22
Attention  Computer Vision  Graphlets  Machine Learning  Manifold Embedding  Weakly Supervised  
Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 1, 页码: 158-170
作者:  Liu, Li;  Shao, Ling;  Li, Xuelong;  Lu, Ke;  Shao, L
Adobe PDF(2314Kb)  |  收藏  |  浏览/下载:212/2  |  提交时间:2016/01/22
Action Recognition  Feature Extraction  Feature Learning  Genetic Programming (Gp)  Spatio-temporal Descriptors  
Mining Spatial-Temporal Patterns and Structural Sparsity for Human Motion Data Denoising 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2015, 卷号: 45, 期号: 12, 页码: 2693-2706
作者:  Feng, Yinfu;  Ji, Mingming;  Xiao, Jun;  Yang, Xiaosong;  Zhang, Jian J.;  Zhuang, Yueting;  Li, Xuelong
Adobe PDF(2074Kb)  |  收藏  |  浏览/下载:212/0  |  提交时间:2015/12/25
Human Motion Denoising  Microsoft Kinect  l(2  Motion Capture Data  p)-norm  Robust Dictionary Learning  Robust Structured Sparse Coding