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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：313/54  |  提交时间：2020/03/30
Cameras  Task analysis  Measurement  Visualization  Training  Computational modeling  Person re-identification  multi-task learning  tensor optimization  
LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 9, 页码: 4274-4286
作者:  Wang, Yunlong;  Liu, Fei;  Zhang, Kunbo;  Hou, Guangqi;  Sun, Zhenan;  Tan, Tieniu
Adobe PDF(4648Kb)  |  收藏  |  浏览/下载：322/22  |  提交时间：2018/10/10
Implicitly Multi-scale Fusion  Bidirectional Recurrent Convolutional Neural Network  Light-field  Super-resolution  
Dynamic Graph Cuts in Parallel 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 8, 页码: 3775-3788
作者:  Yu, Miao;  Shen, Shuhan;  Hu, Zhanyi
浏览  |  Adobe PDF(3907Kb)  |  收藏  |  浏览/下载：334/104  |  提交时间：2017/09/12
Dynamic Graph Cuts  Parallel Computation  Video Segmentation  Grabcut  
Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-Sparse Decomposition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 2, 页码: 724-737
作者:  Hu, Wenrui;  Yang, Yehui;  Zhang, Wensheng;  Xie, Yuan
浏览  |  Adobe PDF(13016Kb)  |  收藏  |  浏览/下载：488/195  |  提交时间：2017/09/12
Moving Object Detection  Tensor Nuclear Norm  Tensor Total Variation  Space-time Visual Saliency  
Weighted Schatten p-Norm Minimization for Image Denoising and Background Subtraction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 10, 页码: 4842-4857
作者:  Xie, Yuan;  Gu, Shuhang;  Liu, Yan;  Zuo, Wangmeng;  Zhang, Wensheng;  Zhang, Lei;  Yuan Xie
浏览  |  Adobe PDF(7732Kb)  |  收藏  |  浏览/下载：583/226  |  提交时间：2016/10/26
Low Rank  Weighted Schatten P-norm  Low-level Vision  
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：487/150  |  提交时间：2016/10/22
Image Restoration  Atmospheric Turbulence  Total Variation  Deformation-guided Kernel  
Representation Learning of Temporal Dynamics for Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 7, 页码: 3010-3022
作者:  Du, Yong;  Fu, Yun;  Wang, Liang
浏览  |  Adobe PDF(4688Kb)  |  收藏  |  浏览/下载：794/343  |  提交时间：2016/06/23
Action Recognition  Hierarchical Recurrent Neural Network  Random Scale & Rotation Transformations  Skeleton  
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：463/171  |  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  
Automatic Liver Segmentation Based on Shape Constraints and Deformable Graph Cut in CT Images 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 12, 页码: 5315-5329
作者:  Li, Guodong;  Chen, Xinjian;  Shi, Fei;  Zhu, Weifang;  Tian, Jie;  Xiang, Dehui
浏览  |  Adobe PDF(5250Kb)  |  收藏  |  浏览/下载：457/167  |  提交时间：2015/11/12
Liver Segmentation  Principal Component Analysis  Euclidean Distance Transformation  Deformable Graph Cut  
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：365/85  |  提交时间：2015/09/18
Polarimetric Synthetic Aperture Radar (Polsar)  Speckle Reduction  Multi-channel Total Variation  Complex Wishart Distribution  Variational Model