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Coarse-to-Fine Learning for Single-Image Super-Resolution 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 5, 页码: 1109-1122
作者:  Zhang, Kaibing;  Tao, Dacheng;  Gao, Xinbo;  Li, Xuelong;  Li, Jie;  Zhang, KB (reprint author), Hubei Engn Univ, Sch Comp & Informat Sci, Xiaogan 432000, Hubei, Peoples R China.
Adobe PDF(3110Kb)  |  收藏  |  浏览/下载：336/2  |  提交时间：2017/06/14
Correlative Neighbor Regression (Cnr)  Nonlocal Means  Regularization Term  Self-similarity  Single-image Super-resolution (Sr)  
DISC: Deep Image Saliency Computing via Progressive Representation Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 6, 页码: 1135-1149
作者:  Chen, Tianshui;  Lin, Liang;  Liu, Lingbo;  Luo, Xiaonan;  Li, Xuelong
Adobe PDF(4845Kb)  |  收藏  |  浏览/下载：440/1  |  提交时间：2016/09/19
Convolutional Neural Network (Cnn)  Image Labeling  Representation Learning  Saliency Detection  
Targeting Accurate Object Extraction From an Image: A Comprehensive Study of Natural Image Matting 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 2, 页码: 185-207
作者:  Zhu, Qingsong;  Shao, Ling;  Li, Xuelong;  Wang, Lei
Adobe PDF(3819Kb)  |  收藏  |  浏览/下载：243/1  |  提交时间：2015/07/14
Alpha Matte  Evaluation  Image Composition  Image Matting  Image Segmentation  Survey  
A Unified Learning Framework for Single Image Super-Resolution 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 4, 页码: 780-792
作者:  Yu, Jifei;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong;  Zhang, Kaibing
Adobe PDF(3831Kb)  |  收藏  |  浏览/下载：271/1  |  提交时间：2015/03/18
Example Learning-based  Image Super-resolution (Sr)  Reconstruction-based  Self-similarity  
Single Image Super-Resolution With Multiscale Similarity Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2013, 卷号: 24, 期号: 10, 页码: 1648-1659
作者:  Zhang, Kaibing;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong
Adobe PDF(1949Kb)  |  收藏  |  浏览/下载：205/1  |  提交时间：2015/06/09
Image Super-resolution (Sr)  Multiscale Self-similarities  Neighbor Embedding (Ne)  Nonlocal Means (Nlm)