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Pose-Appearance Relational Modeling for Video Action Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 295-308
作者:  Cui, Mengmeng;  Wang, Wei;  Zhang, Kunbo;  Sun, Zhenan;  Wang, Liang
收藏  |  浏览/下载：231/0  |  提交时间：2023/02/22
Action recognition  2D pose-appearance  relational modeling  temporal attention LSTM  
Tangent Fisher Vector on Matrix Manifolds for Action Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 1, 页码: 3052-3064
作者:  Luo, Guan;  Wei, Jiutong;  Hu, Weiming;  Maybank, Stephen J.
Adobe PDF(2396Kb)  |  收藏  |  浏览/下载：358/78  |  提交时间：2020/04/07
Manifolds  Video sequences  Observability  Videos  Covariance matrices  Kernel  Computational modeling  Action recognition  Fisher vector  Grassmann manifold  Hankel matrix  matrix manifold  
Tensor Multi-Task Learning for Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 1, 页码: 2463-2477
作者:  Zhang, Zhizhong;  Xie, Yuan;  Zhang, Wensheng;  Tang, Yongqiang;  Tian, Qi
浏览  |  Adobe PDF(1444Kb)  |  收藏  |  浏览/下载：350/59  |  提交时间：2020/03/30
Cameras  Task analysis  Measurement  Visualization  Training  Computational modeling  Person re-identification  multi-task learning  tensor optimization  
Removing Turbulence Effect via Hybrid Total Variation and Deformation-Guided Kernel Regression 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 10, 页码: 4943-4958
作者:  Xie, Yuan;  Zhang, Wensheng;  Tao, Dacheng;  Hu, Wenrui;  Qu, Yanyun;  Wang, Hanzi;  Yuan Xie
浏览  |  Adobe PDF(9193Kb)  |  收藏  |  浏览/下载：503/154  |  提交时间：2016/10/22
Image Restoration  Atmospheric Turbulence  Total Variation  Deformation-guided Kernel  
A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 6, 页码: 2620-2634
作者:  Nie, Xiangli;  Qiao, Hong;  Zhang, Bo;  Huang, Xiayuan
浏览  |  Adobe PDF(5355Kb)  |  收藏  |  浏览/下载：484/175  |  提交时间：2016/10/20
Polarimetric Synthetic Aperture Radar (Polsar)  Speckle Reduction  Nonlocal Total Variation (Nltv)  Complex Wishart Distribution  Conjugate Function  Variational Model  
Robust Image Analysis With Sparse Representation on Quantized Visual Features 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 卷号: 22, 期号: 3, 页码: 860-871
作者:  Bao, Bing-Kun;  Zhu, Guangyu;  Shen, Jialie;  Yan, Shuicheng
浏览  |  Adobe PDF(460Kb)  |  收藏  |  浏览/下载：301/77  |  提交时间：2015/09/22
Image Classification  Quantized Visual Feature  Sparse Representation  
A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 4, 页码: 1209-1222
作者:  Nie, Xiangli;  Qiao, Hong;  Zhang, Bo;  Bo Zhang
浏览  |  Adobe PDF(4732Kb)  |  收藏  |  浏览/下载：378/87  |  提交时间：2015/09/18
Polarimetric Synthetic Aperture Radar (Polsar)  Speckle Reduction  Multi-channel Total Variation  Complex Wishart Distribution  Variational Model  
Robust Online Learned Spatio-Temporal Context Model for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 卷号: 23, 期号: 2, 页码: 785-796
作者:  Wen, Longyin;  Cai, Zhaowei;  Lei, Zhen;  Yi, Dong;  Li, Stan Z.
收藏  |  浏览/下载：180/0  |  提交时间：2015/09/18
Visual Tracking  Spatio-temporal Context  Multiple Subspaces Learning  Online Boosting  
Modeling Geometric-Temporal Context With Directional Pyramid Co-Occurrence for Action Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 卷号: 23, 期号: 2, 页码: 658-672
作者:  Yuan, Chunfeng;  Li, Xi;  Hu, Weiming;  Ling, Haibin;  Maybank, Stephen J.
Adobe PDF(3487Kb)  |  收藏  |  浏览/下载：327/70  |  提交时间：2015/08/12
Covariance Cuboid Descriptor  Log-euclidean Riemannian Metric  Spatio-temporal Directional Pyramid Co-occurrence Matrix  Kernel Machine  Action Recognition  
General Subspace Learning With Corrupted Training Data Via Graph Embedding 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 卷号: 22, 期号: 11, 页码: 4380-4393
作者:  Bao, Bing-Kun;  Liu, Guangcan;  Hong, Richang;  Yan, Shuicheng;  Xu, Changsheng
Adobe PDF(3715Kb)  |  收藏  |  浏览/下载：341/69  |  提交时间：2015/08/12
Subspace Learning  Corrupted Training Data  Discriminant Analysis  Graph Embedding