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STAM: A SpatioTemporal Attention Based Memory for Video Prediction 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 2354-2367
作者:  Chang, Zheng;  Zhang, Xinfeng;  Wang, Shanshe;  Ma, Siwei;  Gao, Wen
收藏  |  浏览/下载:7/0  |  提交时间:2023/12/04
Global spatiotemporal information  spatio temporal receptive field  3D convolutional neural network  spatiotemporal attention  sequence learning  video prediction  
Spatial-Temporal Graph Network for Video Crowd Counting 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 1, 页码: 228-241
作者:  Wu, Zhe;  Zhang, Xinfeng;  Tian, Geng;  Wang, Yaowei;  Huang, Qingming
收藏  |  浏览/下载:13/0  |  提交时间:2023/07/12
Computational modeling  Predictive models  Analytical models  Long short term memory  Optical flow  Integrated circuit modeling  Head  Video-based crowd counting  spatiotemporal graph attention  multi-scale module  
ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 16, 页码: 23
作者:  Jia, Hongwei;  Luo, Haiyong;  Wang, Hao;  Zhao, Fang;  Ke, Qixue;  Wu, Mingyao;  Zhao, Yunyun
收藏  |  浏览/下载:51/0  |  提交时间:2020/12/10
forecasting passenger flow  spatiotemporal networks  multi-task learning  attention mechanism  spatiotemporal dependency