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Distractor-aware discrimination learning for online multiple object tracking 期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 10
作者:  Zhou, Zongwei;  Luo, Wenhan;  Wang, Qiang;  Xing, Junliang;  Hu, Weiming
Adobe PDF(840Kb)  |  收藏  |  浏览/下载：438/123  |  提交时间：2020/08/31
Multi-object tracking  Distractor-aware discrimination learning  Relational attention learning  
Temporal-Spatial Mapping for Action Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 卷号: 30, 期号: 3, 页码: 748-759
作者:  Song, Xiaolin;  Lan, Cuiling;  Zeng, Wenjun;  Xing, Junliang;  Sun, Xiaoyan;  Yang, Jingyu
收藏  |  浏览/下载：268/0  |  提交时间：2020/06/02
Two dimensional displays  Three-dimensional displays  Feature extraction  Optical imaging  Computational modeling  Streaming media  Kernel  Temporal-spatial mapping (TSM)  action recognition  deep learning  
Recognizing Profile Faces by Imagining Frontal View 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019, 页码: 19
作者:  Zhao, Jian;  Xing, Junliang;  Xiong, Lin;  Yan, Shuicheng;  Feng, Jiashi
收藏  |  浏览/下载：255/0  |  提交时间：2020/03/30
Pose-invariant face recognition  Face frontalization  Cross-domain adversarial learning  Meta-learning  Learning to learn  Enforced cross-entropy optimization  Generative adversarial networks  
View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 8, 页码: 1963-1978
作者:  Zhang, Pengfei;  Lan, Cuiling;  Xing, Junliang;  Zeng, Wenjun;  Xue, Jianru;  Zheng, Nanning
收藏  |  浏览/下载：239/0  |  提交时间：2019/12/16
View adaptation  skeleton  action recognition  RNN  CNN  consistent  
3D-Aided Dual-Agent GANs for Unconstrained Face Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 10, 页码: 2380-2394
作者:  Zhao, Jian;  Xiong, Lin;  Li, Jianshu;  Xing, Junliang;  Yan, Shuicheng;  Feng, Jiashi
收藏  |  浏览/下载：320/0  |  提交时间：2019/12/16
Face synthesis  unconstrained face recognition  3D face model  generative adversarial networks