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CASIA OpenIR
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Few-shot learning with unsupervised part discovery and part-aligned similarity 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 12
作者:  Chen, Wentao;  Zhang, Zhang;  Wang, Wei;  Wang, Liang;  Wang, Zilei;  Tan, Tieniu
收藏  |  浏览/下载：235/0  |  提交时间：2022/11/14
Few-shot learning  Self-supervised learning  Part discovery network  Part-aligned similarity  
Temporal sparse adversarial attack on sequence-based gait recognition 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 11
作者:  He, Ziwen;  Wang, Wei;  Dong, Jing;  Tan, Tieniu
Adobe PDF(1435Kb)  |  收藏  |  浏览/下载：306/55  |  提交时间：2022/11/21
Adversarial attack  Gait recognition  Temporal sparsity  
Identifying the key frames: An attention-aware sampling method for action recognition 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 130, 页码: 11
作者:  Dong, Wenkai;  Zhang, Zhaoxiang;  Song, Chunfeng;  Tan, Tieniu
收藏  |  浏览/下载：28/0  |  提交时间：2023/11/17
Action recognition  Deep learning  Reinforcement learning  Pseudo labels  
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：474/207  |  提交时间：2021/03/29
Graph representation learning  Neighborhood aggregation  Graph neural networks  Neighborhood interaction  Node classification  Link prediction  
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  
Exploring uncertainty in pseudo-label guided unsupervised domain adaptation 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 96, 页码: 11
作者:  Liang, Jian;  He, Ran;  Sun, Zhenan;  Tan, Tieniu
收藏  |  浏览/下载：311/0  |  提交时间：2019/12/16
Unsupervised domain adaptation  Pseudo labeling  Feature transformation  Progressive learning  Transfer learning