CASIA OpenIR

浏览/检索结果: 共16条,第1-10条 帮助

限定条件                            
已选(0)清除 条数/页:   排序方式:
Cross-Batch Hard Example Mining With Pseudo Large Batch for ID vs. Spot Face Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3224-3235
作者:  Tan, Zichang;  Liu, Ajian;  Wan, Jun;  Liu, Hao;  Lei, Zhen;  Guo, Guodong;  Li, Stan Z.
Adobe PDF(10124Kb)  |  收藏  |  浏览/下载:282/4  |  提交时间:2022/07/25
Face recognition  Training  Measurement  Graphics processing units  Deep learning  Logic gates  Feature extraction  Face recognition  ID vs spot  deep learning  cross-batch hard example mining  pseudo large batch  
An Iterative Co-Training Transductive Framework for Zero Shot Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6943-6956
作者:  Liu, Bo;  Hu, Lihua;  Dong, Qiulei;  Hu, Zhanyi
Adobe PDF(2452Kb)  |  收藏  |  浏览/下载:289/64  |  提交时间:2021/11/02
Visualization  Semantics  Training  Feature extraction  Testing  Detectors  Predictive models  Zero-shot learning  transductive learning co-training  
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 9703-9718
作者:  Tian, Lei;  Tang, Yongqiang;  Hu, Liangchen;  Ren, Zhida;  Zhang, Wensheng
Adobe PDF(3443Kb)  |  收藏  |  浏览/下载:372/77  |  提交时间:2021/01/06
Domain adaptation  class centroid matching  local manifold self-learning  
Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 10, 页码: 4765-4776
作者:  Wang, Xinchao;  Fan, Bin;  Chang, Shiyu;  Wang, Zhangyang;  Liu, Xianming;  Tao, Dacheng;  Huang, Thomas S.;  Bin Fan
浏览  |  Adobe PDF(2637Kb)  |  收藏  |  浏览/下载:380/95  |  提交时间:2018/01/03
Multi-object Tracking  Minimum-cost Flows  Batch Processing  Graph Transformation  
Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-Sparse Decomposition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 2, 页码: 724-737
作者:  Hu, Wenrui;  Yang, Yehui;  Zhang, Wensheng;  Xie, Yuan
浏览  |  Adobe PDF(13016Kb)  |  收藏  |  浏览/下载:536/203  |  提交时间:2017/09/12
Moving Object Detection  Tensor Nuclear Norm  Tensor Total Variation  Space-time Visual Saliency  
Dynamic Parallel and Distributed Graph Cuts 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 12, 页码: 5511-5525
作者:  Yu, Miao;  Shen, Shuhan;  Hu, Zhanyi
浏览  |  Adobe PDF(2857Kb)  |  收藏  |  浏览/下载:334/98  |  提交时间:2017/02/14
Graph Cuts  Parallel Computation  Convergence  Markov Random Field  
Removing Turbulence Effect via Hybrid Total Variation and Deformation-Guided Kernel Regression 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 10, 页码: 4943-4958
作者:  Xie, Yuan;  Zhang, Wensheng;  Tao, Dacheng;  Hu, Wenrui;  Qu, Yanyun;  Wang, Hanzi;  Yuan Xie
浏览  |  Adobe PDF(9193Kb)  |  收藏  |  浏览/下载:524/158  |  提交时间:2016/10/22
Image Restoration  Atmospheric Turbulence  Total Variation  Deformation-guided Kernel  
Horror Image Recognition Based on Context-Aware Multi-Instance Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 12, 页码: 5193-5205
作者:  Li, Bing;  Xiong, Weihua;  Wu, Ou;  Hu, Weiming;  Maybank, Stephen;  Yan, Shuicheng;  Bing Li
浏览  |  Adobe PDF(906Kb)  |  收藏  |  浏览/下载:785/311  |  提交时间:2015/11/12
Horror Image Recognition  Context-aware Multi-instance Learning  Visual Saliency  
Robust Hyperspectral Unmixing With Correntropy-Based Metric 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 11, 页码: 4027-4040
作者:  Wang, Ying;  Pan, Chunhong;  Xiang, Shiming;  Zhu, Feiyun
浏览  |  Adobe PDF(4371Kb)  |  收藏  |  浏览/下载:409/81  |  提交时间:2015/09/23
Hyperspectral Unmixing  Linear Mixture Model  Non-negative Matrix Factorization  Robust Estimation  Correntropy Based Metric  
Robust Image Analysis With Sparse Representation on Quantized Visual Features 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 卷号: 22, 期号: 3, 页码: 860-871
作者:  Bao, Bing-Kun;  Zhu, Guangyu;  Shen, Jialie;  Yan, Shuicheng
浏览  |  Adobe PDF(460Kb)  |  收藏  |  浏览/下载:321/84  |  提交时间:2015/09/22
Image Classification  Quantized Visual Feature  Sparse Representation