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Editorial: Discrimination of Genuine and Posed Facial Expressions of Emotion 期刊论文
FRONTIERS IN NEUROSCIENCE, 2021, 卷号: 15, 页码: 2
作者:  Zhou, Huiyu;  Li, Ling;  Shan, Shiguang;  Wang, Shuo;  Liu, Jian K.
收藏  |  浏览/下载：36/0  |  提交时间：2021/12/01
discrimination  genuine  posed facial expressions  emotion  visual presentation  
IAUnet: Global Context-Aware Feature Learning for Person Reidentification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4460-4474
作者:  Hou, Ruibing;  Ma, Bingpeng;  Chang, Hong;  Gu, Xinqian;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01
Context modeling  Feature extraction  Computational modeling  Semantics  Aggregates  Visualization  Task analysis  Feature enhancing  interaction-aggregation  person reidentification (reID)  spatial-temporal context modeling  
PRDP: Person Reidentification With Dirty and Poor Data 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:  Xu, Furong;  Ma, Bingpeng;  Chang, Hong;  Shan, Shiguang
收藏  |  浏览/下载：22/0  |  提交时间：2022/06/21
Training  Noise measurement  Data models  Task analysis  Training data  Predictive models  Heuristic algorithms  Dirty  metric learning  person reidentification (ReID)  poor  
Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 8, 页码: 3458-3470
作者:  Lai, Nan;  Kan, Meina;  Han, Chunrui;  Song, Xingguang;  Shan, Shiguang
收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01
Task analysis  Adaptation models  Training  Predictive models  Feature extraction  Generators  Computational modeling  Few-shot learning  meta-learning  predict classifier weights  task-adaptive predictor  
Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning (vol 32, pg 3458, 2021) 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 8, 页码: 3784-3784
作者:  Lai, Nan;  Kan, Meina;  Han, Chunrui;  Song, Xingguang;  Shan, Shiguang
收藏  |  浏览/下载：34/0  |  提交时间：2021/12/01
Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 115, 页码: 13
作者:  Jia, Yunpei;  Zhang, Jie;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：38/0  |  提交时间：2021/12/01
Face anti-spoofing  Face presentation attack detection  Domain adaptation  Deep learning  
Image style disentangling for instance-level facial attribute transfer 期刊论文
COMPUTER VISION AND IMAGE UNDERSTANDING, 2021, 卷号: 207, 页码: 10
作者:  Guo, Xuyang;  Kan, Meina;  He, Zhenliang;  Song, Xingguang;  Shan, Shiguang
收藏  |  浏览/下载：32/0  |  提交时间：2021/12/01
Instance-level facial attribute transfer  Image to image translation  Generative adversarial network  Weakly supervised style learning  
What is a Tabby? Interpretable Model Decisions by Learning Attribute-Based Classification Criteria 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 5, 页码: 1791-1807
作者:  Liu, Haomiao;  Wang, Ruiping;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01
Cats  Prototypes  Visualization  Task analysis  Streaming media  Predictive models  Scalability  Interpretable model  visual attributes  convolutional neural network  classification criteria  
Deep video code for efficient face video retrieval 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 113, 页码: 11
作者:  Qiao, Shishi;  Wang, Ruiping;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：34/0  |  提交时间：2021/12/01
Face video retrieval  Temporal feature pooling  Bounded triplet loss  Deep video code  Hash learning  
Unsupervised Adversarial Domain Adaptation for Cross-Domain Face Presentation Attack Detection 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 页码: 56-69
作者:  Wang, Guoqing;  Han, Hu;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：267/0  |  提交时间：2020/12/10
Face  Feature extraction  Testing  Adaptation models  Databases  Deep learning  Three-dimensional displays  Face presentation attack detection  face liveness detection  face anti-spoofing  adversarial domain adaptation  metric learning  disentangled representation