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Identity Feature Disentanglement for Visible-Infrared Person Re-Identification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2023, 卷号: 19, 期号: 6
作者:  Chen, Xiumei;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(4309Kb)  |  收藏  |  浏览/下载：70/0  |  提交时间：2023/09/06
Visible-infrared person re-identification  cross-modal  deep learning  feature disentanglement  
基于局部选择Vision Transformer的遥感场景分类算法 期刊论文
激光与光电子学进展, 2023, 卷号: 60, 期号: 22
作者:  杨凯;  卢孝强
Adobe PDF(1309Kb)  |  收藏  |  浏览/下载：36/0  |  提交时间：2024/04/10
遥感场景分类  深度学习  Vision Transformer  局部特征  
Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 4, 页码: 3832-3845
作者:  Tang, Yunbo;  Chen, Dan;  Zuo, Yiping;  Lu, Xiaoqiang;  Ranjan, Rajiv;  Zomaya, Albert Y. Y.;  Yao, Quanming;  Li, Xiaoli
Adobe PDF(1911Kb)  |  收藏  |  浏览/下载：49/0  |  提交时间：2023/05/05
Electroencephalography  Bayes methods  Tensors  Brain modeling  Feature extraction  Time series analysis  Time-frequency analysis  Multivariate time series  Bayesian factorization  sparsity prior  structural feature construction  
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：162/1  |  提交时间：2021/05/07
Cross-modal biometric matching  Disentangled representation learning  Latent identity factors  Modalitydependent factors  
Robust Speckle-Autocorrelation Non-Line-of-Sight Imaging with Generative Adversarial Networks 会议论文
Thirteenth International Conference on Graphics and Image Processing, ICGIP 2021, Kunming, China, 2021-08-18
作者:  Chen, Yue;  Qu, Bo;  Lu, Xiaoqiang
Adobe PDF(753Kb)  |  收藏  |  浏览/下载：141/0  |  提交时间：2022/03/22
NLOS imaging  Generative adversarial network  Speckle-autocorrelation  Convolutional neural network  
Cross-Domain Scene Classification by Integrating Multiple Incomplete Sources 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 卷号: 59, 期号: 12, 页码: 10035-10046
作者:  Gong, Tengfei;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(4091Kb)  |  收藏  |  浏览/下载：130/1  |  提交时间：2021/12/10
Feature extraction  Optics  Distributed databases  Adversarial machine learning  Technological innovation  Sensors  Remote sensing  Cross-domain scene classification  incomplete source  multisource domain adaptation  unknown categories  
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：134/0  |  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  
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：208/0  |  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：155/1  |  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：176/0  |  提交时间：2021/04/21
hyperspectral image super-resolution  data fusion  spectral-spatial residual network  multispectral image  self-supervised training