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Unsupervised real image super-resolution via knowledge distillation network 期刊论文
COMPUTER VISION AND IMAGE UNDERSTANDING, 2023, 卷号: 234
作者:  Yuan, Nianzeng;  Sun, Bangyong;  Zheng, Xiangtao
Adobe PDF(6023Kb)  |  收藏  |  浏览/下载：48/0  |  提交时间：2023/08/14
Super-resolution  Knowledge distillation  Degradation module  Convolutional neural network  
Low-Light Image Enhancement by Combining Transformer and Convolutional Neural Network 期刊论文
MATHEMATICS, 2023, 卷号: 11, 期号: 7
作者:  Yuan, Nianzeng;  Zhao, Xingyun;  Sun, Bangyong;  Han, Wenjia;  Tan, Jiahai;  Duan, Tao;  Gao, Xiaomei
Adobe PDF(5302Kb)  |  收藏  |  浏览/下载：76/1  |  提交时间：2023/05/06
image processing  deep learning  low-light image enhancement  self-attention mechanism  
Super-resolution multicolor fluorescence microscopy enabled by an apochromatic super-oscillatory lens with extended depth-of-focus 期刊论文
NATURE COMMUNICATIONS, 2023, 卷号: 14, 期号: 1
作者:  Li, Wenli;  He, Pei;  Lei, Dangyuan;  Fan, Yulong;  Du, Yangtao;  Gao, Bo;  Chu, Zhiqin;  Li, Longqiu;  Liu, Kaipeng;  An, Chengxu;  Yuan, Weizheng;  Yu, Yiting
Adobe PDF(7568Kb)  |  收藏  |  浏览/下载：61/1  |  提交时间：2023/09/11
Spectral Token Guidance Transformer for Multisource Images Change Detection 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 卷号: 16, 页码: 2559-2572
作者:  Sun, Bangyong;  Liu, Qinsen;  Yuan, Nianzeng;  Tan, Jiahai;  Gao, Xiaomei;  Yu, Tao
Adobe PDF(9073Kb)  |  收藏  |  浏览/下载：56/1  |  提交时间：2023/05/05
Transformers  Feature extraction  Task analysis  Adaptive systems  Adaptation models  Optics  Sun  Change detection (CD)  heterogeneous images  hyperspectral images  multispectral images  transformer  
Comprehensive design analysis and verification of space-based short-wave infrared coded spectrometer via curved prism dispersion 期刊论文
Applied Optics, 2022, 卷号: 61, 期号: 8, 页码: 2125-2139
作者:  Jia, Xin-Yin;  Li, Xi-Jie;  Hu, Bing-Liang;  Li, Li-Bo;  Wang, Fei-Cheng;  Zhang, Zhao-Hui;  Yang, Ying;  Ke, Shan-Liang;  Zou, Chun-Bo;  Liu, Jia;  Li, Si-Yuan
Adobe PDF(31402Kb)  |  收藏  |  浏览/下载：132/2  |  提交时间：2022/03/29
Disentangled Representation Learning for Cross-modal Biometric Matching 期刊论文
IEEE Transactions on Multimedia, 2022, 卷号: 24, 页码: 1763-1774
作者:  Ning, Hailong;  Zheng, Xiangtao;  Lu, Xiaoqiang;  Yuan, Yuan
Adobe PDF(6109Kb)  |  收藏  |  浏览/下载：151/1  |  提交时间：2021/05/07
Cross-modal biometric matching  Disentangled representation learning  Latent identity factors  Modalitydependent factors  
A Novel NMF Guided for Hyperspectral Unmixing From Incomplete and Noisy Data 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60
作者:  Dong, Le;  Lu, Xiaoqiang;  Liu, Ganchao;  Yuan, Yuan
Adobe PDF(9737Kb)  |  收藏  |  浏览/下载：113/0  |  提交时间：2022/01/18
Image reconstruction  Hyperspectral imaging  Noise measurement  Gaussian noise  Interference  Stability analysis  Sensors  Hyperspectral unmixing (HU)  image reconstruction  nonnegative matrix factorization (NMF)  spatial-spectral information  
Hyperspectral Unmixing Using Nonlocal Similarity-Regularized Low-Rank Tensor Factorization 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60
作者:  Yuan, Yuan;  Dong, Le;  Li, Xuelong
Adobe PDF(5662Kb)  |  收藏  |  浏览/下载：192/0  |  提交时间：2022/01/18
Tensors  TV  Hyperspectral imaging  Data models  Task analysis  Optimization  Data mining  Hyperspectral unmixing  low tensor rank  nonlocal similarity  nonnegative tensor factorization (NTF)  
Local and correlation attention learning for subtle facial expression recognition 期刊论文
Neurocomputing, 2021, 卷号: 453, 页码: 742-753
作者:  Wang, Shaocong;  Yuan, Yuan;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(2425Kb)  |  收藏  |  浏览/下载：167/0  |  提交时间：2020/10/30
Facial expression recognition  Feature extraction  Neural network  Attention mechanism  
Bio-Inspired Representation Learning for Visual Attention Prediction 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 7, 页码: 3562-3575
作者:  Yuan, Yuan;  Ning, Hailong;  Lu, Xiaoqiang
Adobe PDF(2877Kb)  |  收藏  |  浏览/下载：149/0  |  提交时间：2021/07/12
Bio-inspired  center-bias prior  contrast features  densely connected  reduction-attention  semantic features  visual attention prediction (VAP)