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Fully Unsupervised Person Re-Identification by Enhancing Cluster Samples 会议论文
2021 7th International Conference on Communication and Information Processing, ICCIP 2021, Virtual, Online, China, 2021-12-16
作者:  Chen, Xiumei;  Zheng, Xiangtao;  Zhu, Kaijian;  Lu, Xiaoqiang
Adobe PDF(532Kb)  |  收藏  |  浏览/下载：105/1  |  提交时间：2022/04/11
unsupervised person re-identification  sample transformation  convolutional neural network  feature extraction  
Deep Category-Level and Regularized Hashing With Global Semantic Similarity Learning 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 12, 页码: 6240-6252
作者:  Chen, Yaxiong;  Lu, Xiaoqiang
Adobe PDF(2358Kb)  |  收藏  |  浏览/下载：132/0  |  提交时间：2022/01/26
Semantics  Binary codes  Image retrieval  Force  Machine learning  Cybernetics  Benchmark testing  Category-level semantics  deep feature similarity  deep hashing  image retrieval  
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：155/0  |  提交时间：2021/07/12
Bio-inspired  center-bias prior  contrast features  densely connected  reduction-attention  semantic features  visual attention prediction (VAP)  
TTH-RNN: Tensor-Train Hierarchical Recurrent Neural Network for Video Summarization 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 4, 页码: 3629-3637
作者:  Zhao, Bin;  Li, Xuelong;  Lu, Xiaoqiang
Adobe PDF(1796Kb)  |  收藏  |  浏览/下载：202/0  |  提交时间：2021/01/07
Recurrent neural networks  Training  Task analysis  Tensors  Matrix decomposition  Standards  Feature extraction  Hierarchical structure  tensor-train embedding layer  video summarization  
Person Reidentification via Unsupervised Cross-View Metric Learning 期刊论文
IEEE Transactions on Cybernetics, 2021, 卷号: 51, 期号: 4, 页码: 1849-1859
作者:  Feng, Yachuang;  Yuan, Yuan;  Lu, Xiaoqiang
Adobe PDF(1240Kb)  |  收藏  |  浏览/下载：152/1  |  提交时间：2021/04/13
Metric learning  person reidentification (Re-ID)  unsupervised learning  view-specific mapping  
Hyperspectral image super-resolution with self-supervised spectral-spatial residual network 期刊论文
Remote Sensing, 2021, 卷号: 13, 期号: 7
作者:  Chen, Wenjing;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(2974Kb)  |  收藏  |  浏览/下载：174/0  |  提交时间：2021/04/21
hyperspectral image super-resolution  data fusion  spectral-spatial residual network  multispectral image  self-supervised training  
Spectral-Spatial Joint Sparse NMF for Hyperspectral Unmixing 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2021, 卷号: 59, 期号: 3, 页码: 2391-2402
作者:  Dong, Le;  Yuan, Yuan;  Lu, Xiaoqiang
Adobe PDF(2358Kb)  |  收藏  |  浏览/下载：161/1  |  提交时间：2021/03/29
Global spatial structure group  local spectral group  nonnegative matrix factorization (NMF)  sparse expression  
SpectralSpatial Joint Sparse NMF for Hyperspectral Unmixing 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 卷号: 59, 期号: 3, 页码: 2391-2402
作者:  Dong, Le;  Yuan, Yuan;  Lu, Xiaoqiang
Adobe PDF(2358Kb)  |  收藏  |  浏览/下载：185/0  |  提交时间：2021/04/19
Global spatial structure group  local spectral group  nonnegative matrix factorization (NMF)  sparse expression  
Fine-Grained Visual Categorization by Localizing Object Parts With Single Image 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 1187-1199
作者:  Zheng, Xiangtao;  Qi, Lei;  Ren, Yutao;  Lu, Xiaoqiang
Adobe PDF(3601Kb)  |  收藏  |  浏览/下载：167/0  |  提交时间：2021/05/28
Feature extraction  Detectors  Training  Image representation  Visualization  Semantics  Birds  Fine-grained visual categorization  Part localization  Part relationship  Spectral clustering  Dropout learning  
A Supervised Segmentation Network for Hyperspectral Image Classification 期刊论文
IEEE Transactions on Image Processing, 2021, 卷号: 30, 页码: 2810-2825
作者:  Sun, Hao;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(4384Kb)  |  收藏  |  浏览/下载：204/1  |  提交时间：2021/03/24
Hyperspectral imaging  Feature extraction  Training  Task analysis  Imaging  Image segmentation  Testing  Hyperspectral image (HSI) classification  fully convolutional segmentation network (FCSN)  generalization