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Global Spatial-Temporal Information-based Residual ConvLSTM for Video
  Space-Time Super-Resolution

Global Spatial-Temporal Information-based Residual ConvLSTM for Video Space-Time Super-Resolution

11 July 2024
Congrui Fu
Hui Yuan
Shiqi Jiang
Guanghui Zhang
Liquan Shen
R. Hamzaoui
    SupR
ArXivPDFHTML

Papers citing "Global Spatial-Temporal Information-based Residual ConvLSTM for Video Space-Time Super-Resolution"

4 / 4 papers shown
Title
Temporal Modulation Network for Controllable Space-Time Video
  Super-Resolution
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
Gang Xu
Jun Xu
Zhen Li
Liang Wang
Xing Sun
Ming-Ming Cheng
SupR
51
91
0
21 Apr 2021
Extended Feature Pyramid Network for Small Object Detection
Chunfang Deng
Mengmeng Wang
L. Liu
Yong Liu
ObjD
36
238
0
16 Mar 2020
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
177
5,138
0
16 Sep 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
188
7,816
0
13 Jun 2015
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