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CASIA OpenIR
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Semi-supervised Temporal Action Proposal Generation via Exploiting 2-d Proposal Map 期刊论文
IEEE Transactions on Multimedia, 2021, 页码: 3624 - 3635
作者:  Wang, Weining;  Lin, Tianwei;  He, Dongliang;  Li, Fu;  Wen, Shilei;  Wang, Liang;  Liu, Jing
Adobe PDF(4851Kb)  |  收藏  |  浏览/下载：138/22  |  提交时间：2023/05/03
Semi-supervised learning  proposal map oriented mean-teacher  pseudo label  
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：375/57  |  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  
Deep Self-Supervised Representation Learning for Free-Hand Sketch 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 4, 页码: 1503-1513
作者:  Xu, Peng;  Song, Zeyu;  Yin, Qiyue;  Song, Yi-Zhe;  Wang, Liang
收藏  |  浏览/下载：244/0  |  提交时间：2021/05/17
Feature extraction  Task analysis  Strain  Computer architecture  Deep learning  Deformable models  Convolution  Self-supervised  representation learning  deep learning  sketch  pretext task  textual convolution network  convolutional neural network  
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：321/60  |  提交时间：2021/05/06
End-to-end  Video text detection  Online tracking  
GraphAIR: Graph representation learning with neighborhood aggregation and interaction 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 112, 页码: 11
作者:  Hu, Fenyu;  Zhu, Yanqiao;  Wu, Shu;  Huang, Weiran;  Wang, Liang;  Tan, Tieniu
Adobe PDF(839Kb)  |  收藏  |  浏览/下载：475/207  |  提交时间：2021/03/29
Graph representation learning  Neighborhood aggregation  Graph neural networks  Neighborhood interaction  Node classification  Link prediction