中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共14条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
General vs. Long-Tailed Age Estimation: An Approach to Kill Two Birds With One Stone 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 6155-6167
作者:  Bao, Zenghao;  Tan, Zichang;  Li, Jun;  Wan, Jun;  Ma, Xibo;  Lei, Zhen
Adobe PDF(1634Kb)  |  收藏  |  浏览/下载：55/2  |  提交时间：2024/02/22
General age estimation  long-tailed age estimation  class-wise mean absolute error  
An Efficient Sampling-Based Attention Network for Semantic Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2850-2863
作者:  He, Xingjian;  Liu, Jing;  Wang, Weining;  Lu, Hanqing
Adobe PDF(3252Kb)  |  收藏  |  浏览/下载：395/80  |  提交时间：2022/06/10
Stochastic processes  Sampling methods  Semantics  Image segmentation  Computational complexity  Pattern recognition  Convolution  Semantic segmentation  stochastic sampling-based attention  deterministic sampling-based attention  
Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN plus 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7333-7348
作者:  Cheng, Ke;  Zhang, Yifan;  He, Xiangyu;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(3205Kb)  |  收藏  |  浏览/下载：296/16  |  提交时间：2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network  
Attention Guided Multiple Source and Target Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 30, 页码: 892-906
作者:  Wang, Yuxi;  Zhang, Zhaoxiang;  Hao, Wangli;  Song, Chunfeng
Adobe PDF(3460Kb)  |  收藏  |  浏览/下载：321/53  |  提交时间：2021/03/02
Semantics  Task analysis  Generators  Generative adversarial networks  Feature extraction  Visualization  Meteorology  Domain adaptation  multiple source and target domains  attention  
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：381/81  |  提交时间：2021/01/06
Domain adaptation  class centroid matching  local manifold self-learning  
Improve Person Re-Identification With Part Awareness Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7468-7481
作者:  Huang, Houjing;  Yang, Wenjie;  Lin, Jinbin;  Huang, Guan;  Xu, Jiamiao;  Wang, Guoli;  Chen, Xiaotang;  Huang, Kaiqi
Adobe PDF(3927Kb)  |  收藏  |  浏览/下载：348/67  |  提交时间：2020/08/31
Person re-identification  part awareness  part segmentation  multi-task learning  
Tensor Multi-Task Learning for Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 1, 页码: 2463-2477
作者:  Zhang, Zhizhong;  Xie, Yuan;  Zhang, Wensheng;  Tang, Yongqiang;  Tian, Qi
浏览  |  Adobe PDF(1444Kb)  |  收藏  |  浏览/下载：384/68  |  提交时间：2020/03/30
Cameras  Task analysis  Measurement  Visualization  Training  Computational modeling  Person re-identification  multi-task learning  tensor optimization  
Data-Driven Synthesis of Cartoon Faces Using Different Styles 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 1, 页码: 464-478
作者:  Zhang, Yong;  Dong, Weiming;  Ma, Chongyang;  Mei, Xing;  Li, Ke;  Huang, Feiyue;  Hu, Bao-Gang;  Deussen, Oliver
浏览  |  Adobe PDF(6453Kb)  |  收藏  |  浏览/下载：572/157  |  提交时间：2016/10/25
Cartoon Face  Face Stylization  Data-driven Synthesis  Component-based Modeling  
Robust Subspace Clustering With Complex Noise 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 11, 页码: 4001-4013
作者:  Ran He(赫然);  Yingya Zhang;  Zhenan Sun;  Qiyue Yin;  He, Ran
浏览  |  Adobe PDF(2575Kb)  |  收藏  |  浏览/下载：346/111  |  提交时间：2015/09/23
Subspace Clustering  Subspace Segmentation  Correntropy  Half-quadratic Minimization  
Max-Confidence Boosting With Uncertainty for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 5, 页码: 1650-1659
作者:  Guo, Wen;  Cao, Liangliang;  Han, Tony X.;  Yan, Shuicheng;  Xu, Changsheng
浏览  |  Adobe PDF(2847Kb)  |  收藏  |  浏览/下载：289/66  |  提交时间：2015/09/21
Max-confidence Boosting  Semi-supervised Learning  Visual Tracking