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MoDeRNN: Towards Fine-grained Motion Details for Spatiotemporal
  Predictive Learning
v1v2 (latest)

MoDeRNN: Towards Fine-grained Motion Details for Spatiotemporal Predictive Learning

25 October 2021
Zenghao Chai
Zhengzhuo Xu
Chun Yuan
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "MoDeRNN: Towards Fine-grained Motion Details for Spatiotemporal Predictive Learning"

11 / 11 papers shown
Title
MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying
  Motions
MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions
Haixu Wu
Zhiyu Yao
J. Wan
Mingsheng Long
70
129
0
03 Mar 2021
PDE-Driven Spatiotemporal Disentanglement
PDE-Driven Spatiotemporal Disentanglement
Jérémie Donà
Jean-Yves Franceschi
Sylvain Lamprier
Patrick Gallinari
OODDRL
90
27
0
04 Aug 2020
Memory In Memory: A Predictive Neural Network for Learning Higher-Order
  Non-Stationarity from Spatiotemporal Dynamics
Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics
Yunbo Wang
Jianjin Zhang
Hongyu Zhu
Mingsheng Long
Jianmin Wang
Philip S Yu
AI4TS
79
321
0
19 Nov 2018
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
184
306
0
11 Jun 2018
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in
  Spatiotemporal Predictive Learning
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
Yunbo Wang
Zhifeng Gao
Mingsheng Long
Jianmin Wang
Philip S. Yu
135
476
0
17 Apr 2018
Decoupled Weight Decay Regularization
Decoupled Weight Decay Regularization
I. Loshchilov
Frank Hutter
OffRL
154
2,158
0
14 Nov 2017
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Xingjian Shi
Zhihan Gao
Leonard Lausen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
80
798
0
12 Jun 2017
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
435
10,541
0
21 Jul 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
568
8,007
0
13 Jun 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural
  Networks
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio
Oriol Vinyals
Navdeep Jaitly
Noam M. Shazeer
152
2,039
0
09 Jun 2015
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
152
2,593
0
16 Feb 2015
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