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Improving Domain-adaptive Person Re-identification by Dual-alignment Learning with Camera-aware Image Generation 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 卷号: 31, 期号: Early Access, 页码: 1 - 1
作者:  Chenyang Zhang;  Yongqiang Tang;  Zhizhong Zhang;  Ding Li;  Xuebing Yang;  Wensheng Zhang
Adobe PDF(7184Kb)  |  收藏  |  浏览/下载：321/81  |  提交时间：2021/06/23
Person Re-identification  Convolutional Neural Networks  Generative Adversarial Networks  Mutual Information  
Deep Label Refnement for Age Estimation 期刊论文
Pattern Recognition, 2020, 卷号: 100, 期号: -, 页码: 107178
作者:  Li PP(李佩佩)
Adobe PDF(2713Kb)  |  收藏  |  浏览/下载：154/43  |  提交时间：2021/06/17
age estimation  
CADN: A weakly supervised learning-based category-aware object detection network for surface defect detection 期刊论文
Pattern Recognition, 2020, 期号: 109, 页码: 1-9
作者:  Jiabin, Zhang;  Hu, Su;  Wei, Zou;  Xinyi, Gong;  Zhengtao, Zhang;  Fei, Shen
Adobe PDF(1838Kb)  |  收藏  |  浏览/下载：192/34  |  提交时间：2021/06/17
Weakly supervised learning  Automated surface inspection  Defect detection  Knowledge distillation  
Learning 3D Human Shape and Pose from Dense Body Parts 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  Zhang, Hongwen;  Cao, Jie;  Lu, Guo;  Ouyang, Wanli;  Sun, Zhenan
Adobe PDF(4759Kb)  |  收藏  |  浏览/下载：193/45  |  提交时间：2021/06/16
3D human shape and pose estimation  decompose-and-aggregate network  position-aided rotation feature refinement  part-based dropout  
Adversarial Cross-Spectral Face Completion for NIR-VIS Face Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 5, 页码: 1024 - 1037
作者:  He, Ran;  Cao, Jie;  Song, Lingxiao;  Sun, Zhenan;  Tan, Tieniu
Adobe PDF(4148Kb)  |  收藏  |  浏览/下载：180/35  |  提交时间：2021/06/16
heterogeneous face recognition  near infrared-visible matching  face completion  face inpainting  
Fast Adapting without Forgetting for Face Recognition 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 卷号: 31, 期号: 暂无, 页码: 暂无
作者:  Liu Hao;  Zhu Xiangyu;  Lei Zhen;  Cao Dong;  Li Stan Z.
Adobe PDF(3496Kb)  |  收藏  |  浏览/下载：152/40  |  提交时间：2021/06/01
Single Exemplar  Domain Incremental Learning  Fast Adapting without Forgetting  Face recognition  
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  
Progressively Refined Face Detection Through Semantics-Enriched Representation Learning 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2020, 卷号: 15, 期号: 1, 页码: 1394-1406
作者:  Li, Zhihang;  Tang, Xu;  Wu, Xiang;  Liu, Jingtuo;  He, Ran
Adobe PDF(6813Kb)  |  收藏  |  浏览/下载：239/36  |  提交时间：2021/03/15
Face detection  object detection  
CNQ: Compressor-Based Non-uniform Quantization of Deep Neural NetworksInspec keywordsOther keywordsKey words 期刊论文
CHINESE JOURNAL OF ELECTRONICS, 2020, 卷号: 29, 期号: 6, 页码: 1126-1133
作者:  Yuan, Yong;  Chen, Chen;  Hu, Xiyuan;  Peng, Silong
收藏  |  浏览/下载：279/0  |  提交时间：2021/03/08
entropy  image classification  learning (artificial intelligence)  neural nets  object detection  optimisation  quantisation (signal)  network structure  DNN  low-bit quantization  time-consuming training  compressor-based fast nonuniform quantization method  quantization model  post-training quantization methods  deep neural networks  network quantization  compressor-based nonuniform quantization  CNQ  Non-uniform quantization  Knowledge distillation  Unlabeled samples  Network compression  
Part-based Structured Representation Learning for Person Re-identification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 4, 页码: 22
作者:  Li, Yaoyu;  Yao, Hantao;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(19052Kb)  |  收藏  |  浏览/下载：281/39  |  提交时间：2021/03/08
Person re-identification  representation learning  graph convolutional network