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Partial NIR-VIS Heterogeneous Face Recognition With Automatic Saliency Search 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 页码: 5003-5017
作者:  Luo, Mandi;  Ma, Xin;  Li, Zhihang;  Cao, Jie;  He, Ran
Adobe PDF(4346Kb)  |  收藏  |  浏览/下载：284/58  |  提交时间：2021/12/28
Face recognition  Task analysis  Visualization  Image recognition  Lighting  Feature extraction  Training  Heterogeneous face recognition  near infrared-visible matching  information bottleneck  neural architecture search  
Learning a Robust Part-Aware Monocular 3D Human Pose Estimator via Neural Architecture Search 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 20
作者:  Chen, Zerui;  Huang, Yan;  Yu, Hongyuan;  Wang, Liang
收藏  |  浏览/下载：205/0  |  提交时间：2021/12/28
Monocular 3D human pose estimation  Heterogeneous human body parts  Neural architecture search  
Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 5, 页码: 1915-1925
作者:  Song, Yi-Fan;  Zhang, Zhang;  Shan, Caifeng;  Wang, Liang
Adobe PDF(3381Kb)  |  收藏  |  浏览/下载：388/60  |  提交时间：2021/06/15
Skeleton  Robustness  Noise measurement  Three-dimensional displays  Degradation  Standards  Feature extraction  Action recognition  skeleton  activation map  graph convolutional network  occlusion  jittering  
End -to -end video text detection with online tracking 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 113, 页码: 12
作者:  Yu, Hongyuan;  Huang, Yan;  Pi, Lihong;  Zhang, Chengquan;  Li, Xuan;  Wang, Liang
Adobe PDF(4997Kb)  |  收藏  |  浏览/下载：332/62  |  提交时间：2021/05/06
End-to-end  Video text detection  Online tracking  
FA-GAN: Face Augmentation GAN for Deformation-Invariant Face Recognition 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 期号: 0, 页码: 2341-2355
作者:  Luo, Mandi;  Cao, Jie;  Ma, Xin;  Zhang, Xiaoyu;  He, Ran
Adobe PDF(4742Kb)  |  收藏  |  浏览/下载：354/58  |  提交时间：2021/04/21
Face recognition  Strain  Geometry  Frequency division multiplexing  Training  Task analysis  Semantics  Face augmentation  deformation-invariant face recognition  face disentanglement  graph convolutional networks  
Learning Aligned Image-Text Representations Using Graph Attentive Relational Network 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 期号: 30, 页码: 1840-1852
作者:  Jing, Ya;  Wang, Wei;  Wang, Liang;  Tan, Tieniu
Adobe PDF(4532Kb)  |  收藏  |  浏览/下载：334/54  |  提交时间：2021/03/08
Graph neural networks  Visualization  Semantics  Task analysis  Feature extraction  Annotations  Recurrent neural networks  Image-text matching  cross-modal retrieval  person search  graph neural network  
Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 107, 期号: 107511, 页码: 12
作者:  Si, Chenyang;  Jing, Ya;  Wang, Wei;  Wang, Liang;  Tan, Tieniu
Adobe PDF(2378Kb)  |  收藏  |  浏览/下载：366/69  |  提交时间：2020/08/31
Skeleton-based action recognition  Hierarchical spatial reasoning  Temporal stack learning  Clip-based incremental loss  
Long video question answering: A Matching-guided Attention Model 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 102, 期号: 1, 页码: 11
作者:  Wang, Weining;  Huang, Yan;  Wang, Liang
浏览  |  Adobe PDF(1963Kb)  |  收藏  |  浏览/下载：374/73  |  提交时间：2020/06/02
Long video QA  Matching-guided attention  
3D Aided Duet GANs for Multi-View Face Image Synthesis 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2019, 卷号: 14, 期号: 8, 页码: 2028-2042
作者:  Cao, Jie;  Hu, Yibo;  Yu, Bing;  He, Ran;  Sun, Zhenan
浏览  |  Adobe PDF(4053Kb)  |  收藏  |  浏览/下载：422/82  |  提交时间：2019/07/12
Face rotation and frontalization  Multi-view face synthesis  Pose-invariant face recognition  Face reconstruction  
Part-aligned pose-guided recurrent network for action recognition 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 92, 期号: 1, 页码: 165-176
作者:  Huang, Linjiang;  Huang, Yan;  Ouyang, Wanli;  Wang, Liang
浏览  |  Adobe PDF(2555Kb)  |  收藏  |  浏览/下载：536/121  |  提交时间：2019/07/11
Action recognition  Part alignment  Auto-transformer attention