中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4151-4165
作者:  Hu, Xuecai;  Zhang, Zhang;  Shan, Caifeng;  Wang, Zilei;  Wang, Liang;  Tan, Tieniu
收藏  |  浏览/下载：234/0  |  提交时间：2021/11/03
Degradation  Kernel  Noise level  Convolution  Spatial resolution  Imaging  Arbitrary degradation  blur kernel  deep learning  meta-learning  scale factor  super-resolution  
Adaptive super -resolution for person re-identification with low-resolution images 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 114, 页码: 107682
作者:  Han, Ke;  Huang, Yan;  Song, Chunfeng;  Wang, Liang;  Tan, Tieniu
Adobe PDF(2944Kb)  |  收藏  |  浏览/下载：329/37  |  提交时间：2021/05/06
Person re-identification  Super-resolution  Body regions  Adaptive feature integration  
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：340/24  |  提交时间：2018/10/10
Implicitly Multi-scale Fusion  Bidirectional Recurrent Convolutional Neural Network  Light-field  Super-resolution  
Video Super-Resolution via Bidirectional Recurrent Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 4, 页码: 1015-1028
作者:  Huang, Yan;  Wang, Wei;  Wang, Liang
浏览  |  Adobe PDF(10250Kb)  |  收藏  |  浏览/下载：777/292  |  提交时间：2017/06/19
Deep Learning  Recurrent Neural Networks  3d Convolution  Video Super-resolution  
Face synthesis from low-resolution near-infrared to high-resolution visual light spectrum based on tensor analysis 期刊论文
Neurocomputing, 2014, 卷号: 140, 期号: 1, 页码: 146-154
作者:  Zhaoxiang Zhang;  Yunhong Wang;  Zeda Zhang
收藏  |  浏览/下载：178/0  |  提交时间：2017/02/09
Face Synthesis  Near-infrared  Tensor Analysis  Super Resolution  Fusion