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CASIA OpenIR

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Sensing Micro-Motion Human Patterns using Multimodal mmRadar and Video Signal for Affective and Psychological Intelligence 会议论文
, Canada, 2023-10
作者:  Ru, Yiwei;  Li, Peipei;  Sun, Muyi;  Wang, Yunlong;  Zhang, Kunbo;  Li, Qi;  He, Zhaofeng;  Sun, Zhenan
Adobe PDF(8050Kb)  |  收藏  |  浏览/下载：129/37  |  提交时间：2024/02/23
Adversarial learning domain-invariant conditional features for robust face anti-spoofing 期刊论文
International Journal of Computer Vision, 2023, 卷号: 131, 页码: 1680–1703,
作者:  Jiang, Fangling;  Li, Qi;  Liu, Pengcheng;  Zhou, Xiangdong;  Sun, Zhenan
Adobe PDF(2347Kb)  |  收藏  |  浏览/下载：134/34  |  提交时间：2024/02/23
Learning Latent Relations for Temporal Knowledge Graph Reasoning 会议论文
, Toronto, Canada, 2023-7-9
作者:  Mengqi Zhang;  Yuwei Xia;  Qiang Liu;  Shu Wu;  Liang Wang
Adobe PDF(1574Kb)  |  收藏  |  浏览/下载：323/214  |  提交时间：2023/07/03
Counterfactual Debiasing for Fact Verification 会议论文
, Toronto, Canada, 7.9-7.14, 2023
作者:  Xu WZ(许伟志);  Liu Q(刘强);  Wu S(吴书);  Wang L(王亮)
Adobe PDF(1287Kb)  |  收藏  |  浏览/下载：153/44  |  提交时间：2023/06/26
CASIA-E: A Large Comprehensive Dataset for Gait Recognition 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 卷号: 45, 期号: 3, 页码: 2801-2815
作者:  Chunfeng Song;  Yongzhen Huang;  Weining Wang;  Liang Wang
Adobe PDF(2441Kb)  |  收藏  |  浏览/下载：166/35  |  提交时间：2023/05/04
Learning to Adapt Across Dual Discrepancy for Cross-Domain Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 1963-1980
作者:  Luo, Chuanchen;  Song, Chunfeng;  Zhang, Zhaoxiang
Adobe PDF(2539Kb)  |  收藏  |  浏览/下载：207/61  |  提交时间：2023/03/20
Person re-identification  domain adaptation  cross-domain mixup  camera-aware learning  self-paced learning  
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：294/53  |  提交时间：2022/11/21
Adversarial attack  Gait recognition  Temporal sparsity