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CMS-LSTM: Context Embedding and Multi-Scale Spatiotemporal Expression
  LSTM for Predictive Learning
v1v2v3v4 (latest)

CMS-LSTM: Context Embedding and Multi-Scale Spatiotemporal Expression LSTM for Predictive Learning

IEEE International Conference on Multimedia and Expo (ICME), 2021
6 February 2021
Runnan Li
Zhengzhuo Xu
Yunru Bai
Zhihui Lin
Chun Yuan
ArXiv (abs)PDFHTMLGithub (8★)

Papers citing "CMS-LSTM: Context Embedding and Multi-Scale Spatiotemporal Expression LSTM for Predictive Learning"

4 / 4 papers shown
TempEE: Temporal-Spatial Parallel Transformer for Radar Echo
  Extrapolation Beyond Auto-Regression
TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-RegressionIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Shengchao Chen
Ting Shu
Huani Zhao
Guo Zhong
Xunlai Chen
375
29
0
27 Apr 2023
MS-LSTM: Exploring Spatiotemporal Multiscale Representations in Video
  Prediction Domain
MS-LSTM: Exploring Spatiotemporal Multiscale Representations in Video Prediction DomainApplied Soft Computing (Appl. Soft Comput.), 2023
Zhifeng Ma
Hao Zhang
Jie Liu
408
10
0
16 Apr 2023
MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive
  Learning
MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive Learning
Zhifeng Ma
Hao Zhang
Jie Liu
HAIAI4CE
614
13
0
07 Jun 2022
STAU: A SpatioTemporal-Aware Unit for Video Prediction and Beyond
STAU: A SpatioTemporal-Aware Unit for Video Prediction and BeyondIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zheng Chang
Xinfeng Zhang
Shanshe Wang
Siwei Ma
Wen Gao
247
4
0
20 Apr 2022
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