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Geometry-Aware Face Completion and Editing 会议论文
, 美国夏威夷檀香山, 2019年1月27日 – 2019年2月1日
作者:  Song, Linsen;  Cao, Jie;  Song, Lingxiao;  Hu, Yibo;  He, Ran
Adobe PDF(6909Kb)  |  收藏  |  浏览/下载:141/46  |  提交时间:2021/06/16
Towards High Fidelity Face Frontalization in the Wild 期刊论文
International Journal of Computer Vision, 2019, 卷号: 128, 期号: 1, 页码: 1485–1504
作者:  Cao, Jie;  Hu, Yibo;  Zhang, Hongwen;  He, Ran;  Sun, Zhenan
Adobe PDF(3816Kb)  |  收藏  |  浏览/下载:150/40  |  提交时间:2021/05/26
Face frontalization  Realistic face generation  Pose-invariant face recognition  
GaitNet: An end-to-end network for gait based human identification 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 96, 期号: 106988, 页码: 11
作者:  Song, Chunfeng;  Huang, Yongzhen;  Huang, Yan;  Jia, Ning;  Wang, Liang
浏览  |  Adobe PDF(3015Kb)  |  收藏  |  浏览/下载:598/158  |  提交时间:2019/12/16
Gait recognition  Video-based human identification  End-to-end CNN  Joint learning  
Adversarial Learning Semantic Volume for 2D/3D Face Shape Regression in the Wild 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 9, 页码: 4526-4540
作者:  Zhang, Hongwen;  Li, Qi;  Sun, Zhenan
Adobe PDF(4865Kb)  |  收藏  |  浏览/下载:314/44  |  提交时间:2019/10/08
2D/3D facial landmark localization  semantic volumetric representation  joint voxel and coordinate regression  auxiliary regression adversarial learning  
Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation 期刊论文
IEEE Trans. Pattern Anal. Machine Intell., 2019, 卷号: 41, 期号: 5, 页码: 1027-1042
作者:  Jian Liang;  Ran He;  Zhenan Sun;  Tieniu Tan
浏览  |  Adobe PDF(865Kb)  |  收藏  |  浏览/下载:414/138  |  提交时间:2019/06/10
Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion  
A hierarchical contextual attention-based network for sequential recommendation 期刊论文
NEUROCOMPUTING, 2019, 卷号: 358, 页码: 141-149
作者:  Cui, Qiang;  Wu, Shu;  Huang, Yan;  Wang, Liang
浏览  |  Adobe PDF(545Kb)  |  收藏  |  浏览/下载:278/28  |  提交时间:2019/05/09
Sequential recommendation  Recurrent neural network  Short-term interest  Context  Attention mechanism