中文版 | English

在结果中检索

OPT OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共49条，第1-10条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
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：65/0  |  提交时间：2023/09/06
Visible-infrared person re-identification  cross-modal  deep learning  feature disentanglement  
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：158/1  |  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：121/0  |  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  
Cross-Attention Spectral-Spatial Network for Hyperspectral Image Classification 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2022, 卷号: 60
作者:  Yang, Kai;  Sun, Hao;  Zou, Chunbo;  Lu, Xiaoqiang
Adobe PDF(3919Kb)  |  收藏  |  浏览/下载：173/2  |  提交时间：2022/01/25
Hyperspectral image classification  convolutional neural networks  spectral attention  spatial attention  
Meta Self-Supervised Learning for Distribution Shifted Few-Shot Scene Classification 期刊论文
IEEE Geoscience and Remote Sensing Letters, 2022, 卷号: 19
作者:  Gong, Tengfei;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(953Kb)  |  收藏  |  浏览/下载：100/0  |  提交时间：2022/06/08
Domain shift  few-shot learning  scene classification  self-supervised learning  
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：104/1  |  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：131/0  |  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)  
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：151/1  |  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：173/0  |  提交时间：2021/04/21
hyperspectral image super-resolution  data fusion  spectral-spatial residual network  multispectral image  self-supervised training