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Meta Auxiliary Learning for Facial Action Unit Detection 期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 3, 页码: 2526-2538
作者:  Li, Yong;  Shan, Shiguang
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Facial action unit detection  auxiliary learning  meta learning  
Person Search by a Bi-Directional Task-Consistent Learning Model 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 1190-1203
作者:  Wang, Cheng;  Ma, Bingpeng;  Chang, Hong;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：8/0  |  提交时间：2023/12/04
Task analysis  Detectors  Training  Robustness  Proposals  Feature extraction  Cameras  Deep neural networks  Person search  
BLPSeg: Balance the Label Preference in Scribble-Supervised Semantic Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 4921-4934
作者:  Wang, Yude;  Zhang, Jie;  Kan, Meina;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Annotations  Semantic segmentation  Training  Task analysis  Head  Semantics  Costs  Scribble-supervised  weakly supervised  semantic segmentation  
Contrastive Learning of Person-Independent Representations for Facial Action Unit Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 3212-3225
作者:  Li, Yong;  Shan, Shiguang
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Gold  Videos  Training  Image reconstruction  Feature extraction  Faces  Task analysis  Facial action unit detection  contrastive Learning  self-supervised learning  person-independent action unit detection  
A Comprehensive Framework for Long-Tailed Learning via Pretraining and Normalization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:  Kang, Nan;  Chang, Hong;  Ma, Bingpeng;  Shan, Shiguang
收藏  |  浏览/下载：22/0  |  提交时间：2022/12/07
Training  Tail  Task analysis  Head  Visualization  Feature extraction  Data models  Classifier design  contrastive learning  long-tailed recognition  normalization  
SANet: Statistic Attention Network for Video-Based Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 6, 页码: 3866-3879
作者:  Bai, Shutao;  Ma, Bingpeng;  Chang, Hong;  Huang, Rui;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：25/0  |  提交时间：2022/12/07
Feature extraction  Task analysis  Computational modeling  Visualization  Video sequences  Fuses  Computer science  Person re-identification  self-attention  long-range dependencies  high-order statistics  
Interactive Regression and Classification for Dense Object Detector 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3684-3696
作者:  Zhou, Linmao;  Chang, Hong;  Ma, Bingpeng;  Shan, Shiguang
收藏  |  浏览/下载：18/0  |  提交时间：2022/12/07
Location awareness  Detectors  Feature extraction  Object detection  Standards  Backpropagation  Pipelines  Dense object detector  localization information  interactive  
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：36/0  |  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：23/0  |  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