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CASIA OpenIR

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Combination of time domain-system matrix and x-space methods to reconstruct magnetic particle images with isotropic resolution 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2024, 卷号: 69, 期号: 3, 页码: 13
作者:  Shan, Shihao;  Zhang, Chenglong;  Yin, Lin;  Yang, Xiaoli;  Yu, Dexin;  Qi, Yafei;  Li, Min;  Wildgruber, Moritz;  Du, Yang;  Tian, Jie;  Ma, Xiaopeng
收藏  |  浏览/下载：41/0  |  提交时间：2024/02/20
magnetic particle imaging  x-space  isotropic resolution  time domain system matrix  medical image reconstruction  
PAPS: Progressive Attention-Based Pan-sharpening 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 391-404
作者:  Yanan Jia;  Qiming Hu;  Renwei Dian;  Jiayi Ma;  Xiaojie Guo
Adobe PDF(10173Kb)  |  收藏  |  浏览/下载：32/8  |  提交时间：2024/01/23
High-resolution multispectral image  image fusion  pan-sharpening  progressive enhancement  
Patch Loss: A generic multi-scale perceptual loss for single image super-resolution 期刊论文
Pattern Recognition, 2023, 卷号: 139, 页码: 109510
作者:  An T(安泰);  Mao BJ(毛彬杰);  Xue B(薛斌);  Huo CL(霍春雷);  Xiang SM(向世明);  Pan CH(潘春洪)
Adobe PDF(5876Kb)  |  收藏  |  浏览/下载：81/13  |  提交时间：2024/01/17
Single-image super-resolution  Multi-scale loss functions  Image visual perception  Perceptual metrics  
Combining discrete and continuous representation: Scale-arbitrary super-resolution for satellite images 期刊论文
Remote Sensing, 2023, 卷号: 15, 页码: 1827
作者:  An T(安泰);  Huo CL(霍春雷);  Xiang SM(向世明);  Pan CH(潘春洪)
Adobe PDF(14935Kb)  |  收藏  |  浏览/下载：60/7  |  提交时间：2024/01/17
scale-arbitrary super-resolution  image representation  satellite imagery  
Rolling Shutter Camera: Modeling, Optimization and Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 783-798
作者:  Bin Fan, Yuchao Dai, Mingyi He
Adobe PDF(2943Kb)  |  收藏  |  浏览/下载：39/12  |  提交时间：2023/11/23
Rolling shutter, motion modeling, image correction, temporal super-resolution, deep learning  
Seismic Random Noise Suppression Model Based on Downsampling and Superresolution 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 14
作者:  Fang, Ziyi;  Lin, Hongbo;  Sun, Fuyao;  Song, Xue;  Zhang, Chao;  Wang, Bo
收藏  |  浏览/下载：23/0  |  提交时间：2023/11/17
Noise reduction  Superresolution  Image restoration  Generators  Data models  Complexity theory  Signal resolution  Seismic exploration  seismic random noise  seismic signal denoising  superresolution (SR)  
Hyperspectral Image Super-Resolution Meets Deep Learning: A Survey and Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1668-1691
作者:  Xinya Wang;  Qian Hu;  Yingsong Cheng;  Jiayi Ma
Adobe PDF(22541Kb)  |  收藏  |  浏览/下载：73/18  |  提交时间：2023/07/20
Deep learning  hyperspectral image  image fusion  image super-resolution  survey  
SSAU-Net: A Spectral-Spatial Attention-Based U-Net for Hyperspectral Image Fusion 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
作者:  Liu, Shuaiqi;  Liu, Siyuan;  Zhang, Shichong;  Li, Bing;  Hu, Weiming;  Zhang, Yu-Dong
收藏  |  浏览/下载：143/0  |  提交时间：2023/03/20
Feature extraction  Matrix decomposition  Image fusion  Hyperspectral imaging  Spatial resolution  Tensors  Image reconstruction  Deep learning  hyperspectral image (HSI)  image fusion  multispectral image (MSI)  spectral-spatial attention  
Contrastive Learning for Blind Super-Resolution via A Distortion-Specific Network 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 78-89
作者:  Xinya Wang;  Jiayi Ma;  Junjun Jiang
Adobe PDF(11082Kb)  |  收藏  |  浏览/下载：147/44  |  提交时间：2023/01/03
Blind super-resolution  contrastive learning  deep learning  image super-resolution (SR)  
PSGAN plus plus : Robust Detail-Preserving Makeup Transfer and Removal 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 11, 页码: 8538-8551
作者:  Liu, Si;  Jiang, Wentao;  Gao, Chen;  He, Ran;  Feng, Jiashi;  Li, Bo;  Yan, Shuicheng
收藏  |  浏览/下载：197/0  |  提交时间：2022/11/14
Faces  Generative adversarial networks  Task analysis  Visualization  Nose  Image resolution  Skin  Makeup transfer  makeup removal  generative adversarial networks