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Exploring Motion Information for Distractor Suppression in Visual Tracking 会议论文
2022, New Orleans , United States, 2022.6.19
作者:  Liu, Kaiwen;  Gao, Jin;  Liu, Haowei;  Li, Liang;  Li, Bing;  Hu, Weiming
Adobe PDF(1747Kb)  |  收藏  |  浏览/下载：242/44  |  提交时间：2022/06/20
A(3)GAN: An Attribute-Aware Attentive Generative Adversarial Network for Face Aging 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 页码: 2776-2790
作者:  Liu, Yunfan;  Li, Qi;  Sun, Zhenan;  Tan, Tieniu
Adobe PDF(4213Kb)  |  收藏  |  浏览/下载：212/3  |  提交时间：2021/05/31
Aging  Faces  Face recognition  Facial features  Generators  Wavelet packets  Visualization  Generative adversarial networks  face aging  facial attribute  attention mechanism  wavelet packet transform  
Controllable Multi-Attribute Editing of High-Resolution Face Images 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 期号: 0, 页码: 1410-1423
作者:  Deng, Qiyao;  Li, Qi;  Cao, Jie;  Liu, Yunfan;  Sun, Zhenan
Adobe PDF(8442Kb)  |  收藏  |  浏览/下载：256/32  |  提交时间：2021/03/02
Faces  Image resolution  Face recognition  Wavelet transforms  Generative adversarial networks  Computational modeling  Face attribute editing  Face synthesis  Generative adversarial network  
Intra-domain Consistency Enhancement for Unsupervised Person Re-identification 期刊论文
IEEE Transactions on Multimedia, 2021, 卷号: 0, 期号: 0, 页码: 0-0
作者:  Li, Yaoyu;  Yao, Hantao;  Xu, Changsheng
Adobe PDF(2167Kb)  |  收藏  |  浏览/下载：185/51  |  提交时间：2021/06/22
Person Re-identification  unsupervised domain adaptation  representation learning  
Deep Unbiased Embedding Transfer for Zero-Shot Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 29, 页码: 1958-1971
作者:  Jia, Zhen;  Zhang, Zhang;  Wang, Liang;  Shan, Caifeng;  Tan, Tieniu
浏览  |  Adobe PDF(3428Kb)  |  收藏  |  浏览/下载：380/61  |  提交时间：2020/03/30
Visualization  Feature extraction  Semantics  Training  Seals  Prototypes  Indexes  Zero-shot learning  image classification  projection domain shift  convolutional neural network  generative adversarial network