CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共28条,第1-10条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
Second-Order Global Attention Networks for Graph Classification and Regression 会议论文
, Beijing, China, August 27-28, 2022
作者:  Hu Fenyu;  Cui Zeyu;  Wu Shu;  Liu Qiang;  Wu Jinlin;  Wang Liang;  Tan Tieniu
Adobe PDF(69424Kb)  |  收藏  |  浏览/下载:183/68  |  提交时间:2023/07/06
Learning Domain Invariant Representations for Generalizable Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 509-523
作者:  Zhang, Yi-Fan;  Zhang, Zhang;  Li, Da;  Jia, Zhen;  Wang, Liang;  Tan, Tieniu
收藏  |  浏览/下载:211/0  |  提交时间:2023/03/20
Generalizable person re-Identification  disentanglement  backdoor adjustment  
Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4151-4165
作者:  Hu, Xuecai;  Zhang, Zhang;  Shan, Caifeng;  Wang, Zilei;  Wang, Liang;  Tan, Tieniu
收藏  |  浏览/下载:227/0  |  提交时间:2021/11/03
Degradation  Kernel  Noise level  Convolution  Spatial resolution  Imaging  Arbitrary degradation  blur kernel  deep learning  meta-learning  scale factor  super-resolution  
Relational graph neural network for situation recognition 期刊论文
Pattern Recognition, 2020, 期号: 108, 页码: 107544
作者:  Jing Y(荆雅);  Wang JB(王君波);  Wang W(王威);  Wang L(王亮);  Tan TN(谭铁牛)
Adobe PDF(3098Kb)  |  收藏  |  浏览/下载:175/39  |  提交时间:2021/06/07
Situation recognition  Relationship modeling  Graph neural network  Reinforcement learning  
Adaptive super -resolution for person re-identification with low-resolution images 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 114, 页码: 107682
作者:  Han, Ke;  Huang, Yan;  Song, Chunfeng;  Wang, Liang;  Tan, Tieniu
Adobe PDF(2944Kb)  |  收藏  |  浏览/下载:325/37  |  提交时间:2021/05/06
Person re-identification  Super-resolution  Body regions  Adaptive feature integration  
GraphAIR: Graph representation learning with neighborhood aggregation and interaction 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 112, 页码: 11
作者:  Hu, Fenyu;  Zhu, Yanqiao;  Wu, Shu;  Huang, Weiran;  Wang, Liang;  Tan, Tieniu
Adobe PDF(839Kb)  |  收藏  |  浏览/下载:472/206  |  提交时间:2021/03/29
Graph representation learning  Neighborhood aggregation  Graph neural networks  Neighborhood interaction  Node classification  Link prediction  
Learning Aligned Image-Text Representations Using Graph Attentive Relational Network 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 期号: 30, 页码: 1840-1852
作者:  Jing, Ya;  Wang, Wei;  Wang, Liang;  Tan, Tieniu
Adobe PDF(4532Kb)  |  收藏  |  浏览/下载:319/51  |  提交时间:2021/03/08
Graph neural networks  Visualization  Semantics  Task analysis  Feature extraction  Annotations  Recurrent neural networks  Image-text matching  cross-modal retrieval  person search  graph neural network  
Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 107, 期号: 107511, 页码: 12
作者:  Si, Chenyang;  Jing, Ya;  Wang, Wei;  Wang, Liang;  Tan, Tieniu
Adobe PDF(2378Kb)  |  收藏  |  浏览/下载:352/65  |  提交时间:2020/08/31
Skeleton-based action recognition  Hierarchical spatial reasoning  Temporal stack learning  Clip-based incremental loss  
Attention-based Convolutional Approach for Misinformation Identification from Massive and Noisy Microblog Posts 期刊论文
computers & security, 2019, 期号: 83, 页码: 106-121
作者:  Yu, Feng;  Liu, Qiang;  Wu, Shu;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(1601Kb)  |  收藏  |  浏览/下载:246/97  |  提交时间:2020/06/08
information security  social network  misinformation identification  early detection  convolutional neural network  
Deep Unbiased Embedding Transfer for Zero-Shot Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 29, 页码: 1958-1971
作者:  Jia, Zhen;  Zhang, Zhang;  Wang, Liang;  Shan, Caifeng;  Tan, Tieniu
Adobe PDF(3428Kb)  |  收藏  |  浏览/下载:394/64  |  提交时间:2020/03/30
Visualization  Feature extraction  Semantics  Training  Seals  Prototypes  Indexes  Zero-shot learning  image classification  projection domain shift  convolutional neural network  generative adversarial network