CASIA OpenIR

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Second-Order Global Attention Networks for Graph Classification and Regression 会议论文
, Beijing, China, August 27-28, 2022
作者:  Hu Fenyu;  Cui Zeyu;  Wu Shu;  Liu Qiang;  Wu Jinlin;  Wang Liang;  Tan Tieniu
Adobe PDF(69424Kb)  |  收藏  |  浏览/下载:209/70  |  提交时间:2023/07/06
Fusing Multi-Granularity Data for Stock Trend Prediction with Contrastive Pre-training 会议论文
, Zhuhai, China, February 17-20, 2023
作者:  Xu,Haonan;  Li,Jiange;  Wang,Peng;  Yin, Xianchen;  Xue, Wenfang
Adobe PDF(576Kb)  |  收藏  |  浏览/下载:197/59  |  提交时间:2023/06/27
Spatial-Temporal Graph Neural Networks Fusing Multiple Data 会议论文
, Qingdao, China, 2022-12-2
作者:  Xu,Haonan;  Xue, Wenfang
Adobe PDF(4434Kb)  |  收藏  |  浏览/下载:116/46  |  提交时间:2023/06/15
Bi-directional Interaction Network for Person Search 会议论文
, Virtual Site, June 16 - 18, 2020
作者:  Dong, Wenkai;  Zhang, Zhaoxiang;  Song, Chunfeng;  Tan, Tieniu
Adobe PDF(598Kb)  |  收藏  |  浏览/下载:166/59  |  提交时间:2022/06/14
Instance Guided Proposal Network for Person Search 会议论文
, Virtual Site, June 16 - 18, 2020
作者:  Dong, Wenkai;  Zhang, Zhaoxiang;  Song, Chunfeng;  Tan, Tieniu
Adobe PDF(777Kb)  |  收藏  |  浏览/下载:155/31  |  提交时间:2022/06/14
An End-to-end Video Text Detector with Online Tracking 会议论文
, 悉尼, 2019年
作者:  Yu HY(俞宏远);  Zhang, Chengquan;  Li, Xuan;  Han, Junyu;  Ding, Errui;  Wang L(王亮)
Adobe PDF(4286Kb)  |  收藏  |  浏览/下载:147/42  |  提交时间:2022/06/14
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:340/66  |  提交时间:2021/05/06
End-to-end  Video text detection  Online tracking  
Video Super-Resolution via Bidirectional Recurrent Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 4, 页码: 1015-1028
作者:  Huang, Yan;  Wang, Wei;  Wang, Liang
浏览  |  Adobe PDF(10250Kb)  |  收藏  |  浏览/下载:789/296  |  提交时间:2017/06/19
Deep Learning  Recurrent Neural Networks  3d Convolution  Video Super-resolution