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Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 5513-5528
作者:  Zhao, Mengbiao;  Feng, Wei;  Yin, Fei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(5999Kb)  |  收藏  |  浏览/下载：497/45  |  提交时间：2022/09/19
Costs  Annotations  Training  Labeling  Detectors  Data models  Benchmark testing  Mixed-supervised learning  scene text detection  weak supervision forms  expectation-maximization algorithm  
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 9703-9718
作者:  Tian, Lei;  Tang, Yongqiang;  Hu, Liangchen;  Ren, Zhida;  Zhang, Wensheng
Adobe PDF(3443Kb)  |  收藏  |  浏览/下载：394/86  |  提交时间：2021/01/06
Domain adaptation  class centroid matching  local manifold self-learning  
A Performance Evaluation of Local Features for Image-Based 3D Reconstruction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 4774-4789
作者:  Fan, Bin;  Kong, Qingqun;  Wang, Xinchao;  Wang, Zhiheng;  Xiang, Shiming;  Pan, Chunhong;  Fua, Pascal
浏览  |  Adobe PDF(3986Kb)  |  收藏  |  浏览/下载：378/89  |  提交时间：2019/12/16
Local feature  image reconstruction  structure from motion (SFM)  3D vision  image matching  
Adversarial Learning Semantic Volume for 2D/3D Face Shape Regression in the Wild 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 9, 页码: 4526-4540
作者:  Zhang, Hongwen;  Li, Qi;  Sun, Zhenan
Adobe PDF(4865Kb)  |  收藏  |  浏览/下载：361/62  |  提交时间：2019/10/08
2D/3D facial landmark localization  semantic volumetric representation  joint voxel and coordinate regression  auxiliary regression adversarial learning  
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：548/166  |  提交时间：2016/10/22
Image Restoration  Atmospheric Turbulence  Total Variation  Deformation-guided Kernel  
Robust Hyperspectral Unmixing With Correntropy-Based Metric 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 11, 页码: 4027-4040
作者:  Wang, Ying;  Pan, Chunhong;  Xiang, Shiming;  Zhu, Feiyun
浏览  |  Adobe PDF(4371Kb)  |  收藏  |  浏览/下载：425/86  |  提交时间：2015/09/23
Hyperspectral Unmixing  Linear Mixture Model  Non-negative Matrix Factorization  Robust Estimation  Correntropy Based Metric  
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：334/90  |  提交时间：2015/09/22
Image Classification  Quantized Visual Feature  Sparse Representation  
PM-PM: PatchMatch With Potts Model for Object Segmentation and Stereo Matching 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 7, 页码: 2182-2196
作者:  Xu, Shibiao;  Zhang, Feihu;  He, Xiaofei;  Shen, Xukun;  Zhang, Xiaopeng
浏览  |  Adobe PDF(5719Kb)  |  收藏  |  浏览/下载：356/107  |  提交时间：2015/09/21
Object Segmentation  Stereo Matching  Potts Model  Patchmatch  Multiple View Reconstruction  
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：400/95  |  提交时间：2015/09/18
Polarimetric Synthetic Aperture Radar (Polsar)  Speckle Reduction  Multi-channel Total Variation  Complex Wishart Distribution  Variational Model  
Spectral Unmixing via Data-Guided Sparsity 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 卷号: 23, 期号: 12, 页码: 5412-5427
作者:  Zhu, Feiyun;  Wang, Ying;  Fan, Bin;  Xiang, Shiming;  Meng, Gaofeng;  Pan, Chunhong
Adobe PDF(6232Kb)  |  收藏  |  浏览/下载：410/115  |  提交时间：2015/08/12
Data-guided Sparse (Dgs)  Data-guided Map (dgMap)  Nonnegative Matrix Factorization (Nmf)  Dgs-nmf  Mixed Pixel  Hyperspectral Unmixing (Hu)