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Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 3, 页码: 1881-1897
作者:  Gao, Jin;  Lu, Yan;  Qi, Xiaojuan;  Kou, Yutong;  Li, Bing;  Li, Liang;  Yu, Shan;  Hu, Weiming
Adobe PDF(915Kb)  |  收藏  |  浏览/下载：57/21  |  提交时间：2024/06/21
Visualization  Training  Adaptation models  Data models  Optimization  Task analysis  Robustness  Online learning  few-shot online adaptation  visual tracking  continual learning  recursive least-squares estimation  
基于动态稀疏和特征学习增强的模型剪枝 期刊论文
中国科学：技术科学, 2022, 卷号: 52, 期号: 5, 页码: 667-681
作者:  阮晓峰;  胡卫明;  刘雨帆;  李兵
Adobe PDF(2674Kb)  |  收藏  |  浏览/下载：63/24  |  提交时间：2024/06/05
Circle-Net: An Unsupervised Lightweight-Attention Cyclic Network for Hyperspectral and Multispectral Image Fusion 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 卷号: 16, 页码: 4499-4515
作者:  Liu, Shuaiqi;  Miao, Siyu;  Liu, Siyuan;  Li, Bing;  Hu, Weiming;  Zhang, Yu-Dong
收藏  |  浏览/下载：148/0  |  提交时间：2023/11/17
Attention mechanism  deep learning (DL)  hyperspectral images (HSIs)  image fusion  multispectral images (MSIs)  
Learning to Explore Distillability and Sparsability: A Joint Framework for Model Compression 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022, 卷号: 45, 期号: 3, 页码: 3378-3395
作者:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Stephen Maybank
Adobe PDF(3314Kb)  |  收藏  |  浏览/下载：181/51  |  提交时间：2023/04/24
3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 卷号: 26, 期号: 11, 页码: 5321-5331
作者:  Liu, Shuaiqi;  Wang, Xu;  Zhao, Ling;  Li, Bing;  Hu, Weiming;  Yu, Jie;  Zhang, Yu-Dong
收藏  |  浏览/下载：326/0  |  提交时间：2023/03/20
Electroencephalography  Feature extraction  Emotion recognition  Convolution  Brain modeling  Deep learning  Neural networks  3D convolution attention neural network  dual attention learning  EEG emotion recognition  spatio-temporal feature  
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：281/0  |  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  
SDTP: Semantic-aware Decoupled Transformer Pyramid for Dense Image Prediction 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2022, 页码: 14
作者:  Li Zekun;  Li Yufan;  Li BIng;  Feng Bailan;  Wu Kebin;  Peng Chengwei;  Hu Weiming
Adobe PDF(11183Kb)  |  收藏  |  浏览/下载：219/30  |  提交时间：2022/06/20
MRDDANet: A Multiscale Residual Dense Dual Attention Network for SAR Image Denoising 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 13
作者:  Liu, Shuaiqi;  Lei, Yu;  Zhang, Luyao;  Li, Bing;  Hu, Weiming;  Zhang, Yu-Dong
收藏  |  浏览/下载：230/0  |  提交时间：2022/01/27
Noise reduction  Radar polarimetry  Feature extraction  Speckle  Transforms  Synthetic aperture radar  Image denoising  Dual attention network  feature extraction  multiscale  synthetic aperture radar (SAR) image denoising  
UMAG-Net: A New Unsupervised Multiattention-Guided Network for Hyperspectral and Multispectral Image Fusion 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 7373-7385
作者:  Liu, Shuaiqi;  Miao, Siyu;  Su, Jian;  Li, Bing;  Hu, Weiming;  Zhang, Yu-Dong
收藏  |  浏览/下载：235/0  |  提交时间：2021/11/02
Tensors  Image fusion  Hyperspectral imaging  Spatial resolution  Feature extraction  Image reconstruction  Dictionaries  Deep learning  hyperspectral images (HSIs)  image fusion  multispectral images (MSIs)  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4499-4513
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载：361/50  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning