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MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive
  Learning
v1v2v3v4v5v6v7 (latest)

MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive Learning

7 June 2022
Zhifeng Ma
Hao Zhang
Jie Liu
    HAIAI4CE
ArXiv (abs)PDFHTMLGithub (32★)

Papers citing "MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive Learning"

38 / 38 papers shown
Title
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning
Edwin Tay
Nazli Tümer
Amir A. Zadpoor
MedIm
250
0
0
27 Mar 2025
Tell Me What Happened: Unifying Text-guided Video Completion via
  Multimodal Masked Video Generation
Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation
Tsu-Jui Fu
Licheng Yu
Ning Zhang
Cheng-Yang Fu
Jong-Chyi Su
William Yang Wang
Sean Bell
VGen
128
38
0
23 Nov 2022
Earthformer: Exploring Space-Time Transformers for Earth System
  Forecasting
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
Zhihan Gao
Xingjian Shi
Hao Wang
Yi Zhu
Yuyang Wang
Mu Li
Dit-Yan Yeung
AI4TS
92
158
0
12 Jul 2022
MaskViT: Masked Visual Pre-Training for Video Prediction
MaskViT: Masked Visual Pre-Training for Video Prediction
Agrim Gupta
Stephen Tian
Yunzhi Zhang
Jiajun Wu
Roberto Martín-Martín
Li Fei-Fei
171
120
0
23 Jun 2022
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive
  Transformer
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer
Songwei Ge
Thomas Hayes
Harry Yang
Xiaoyue Yin
Guan Pang
David Jacobs
Jia-Bin Huang
Devi Parikh
ViT
133
223
0
07 Apr 2022
MoDeRNN: Towards Fine-grained Motion Details for Spatiotemporal
  Predictive Learning
MoDeRNN: Towards Fine-grained Motion Details for Spatiotemporal Predictive Learning
Zenghao Chai
Zhengzhuo Xu
Chun Yuan
AI4TS
44
5
0
25 Oct 2021
SLAMP: Stochastic Latent Appearance and Motion Prediction
SLAMP: Stochastic Latent Appearance and Motion Prediction
Adil Kaan Akan
Erkut Erdem
Aykut Erdem
Fatma Guney
51
40
0
05 Aug 2021
FitVid: Overfitting in Pixel-Level Video Prediction
FitVid: Overfitting in Pixel-Level Video Prediction
Mohammad Babaeizadeh
M. Saffar
Suraj Nair
Sergey Levine
Chelsea Finn
D. Erhan
VLM
107
84
0
24 Jun 2021
Multiscale Vision Transformers
Multiscale Vision Transformers
Haoqi Fan
Bo Xiong
K. Mangalam
Yanghao Li
Zhicheng Yan
Jitendra Malik
Christoph Feichtenhofer
ViT
135
1,265
0
22 Apr 2021
VideoGPT: Video Generation using VQ-VAE and Transformers
VideoGPT: Video Generation using VQ-VAE and Transformers
Wilson Yan
Yunzhi Zhang
Pieter Abbeel
A. Srinivas
ViTVGen
310
512
0
20 Apr 2021
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Suman V. Ravuri
Karel Lenc
Matthew Willson
D. Kangin
Rémi R. Lam
...
R. Hadsell
Nial H. Robinson
Ellen Clancy
A. Arribas
S. Mohamed
AI4Cl
183
741
0
02 Apr 2021
Video Prediction Recalling Long-term Motion Context via Memory Alignment
  Learning
Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning
Sangmin Lee
Hak Gu Kim
Dae Hwi Choi
Hyungil Kim
Yong Man Ro
81
102
0
02 Apr 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video
  Prediction
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
Bohan Wu
Suraj Nair
Roberto Martin-Martin
Li Fei-Fei
Chelsea Finn
DRL
70
102
0
06 Mar 2021
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
Broad-UNet: Multi-scale feature learning for nowcasting tasks
Broad-UNet: Multi-scale feature learning for nowcasting tasks
Jesús García Fernández
S. Mehrkanoon
62
68
0
12 Feb 2021
Interpreting Super-Resolution Networks with Local Attribution Maps
Interpreting Super-Resolution Networks with Local Attribution Maps
Jinjin Gu
Chao Dong
FAttSupR
71
220
0
22 Nov 2020
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
Huimin Huang
Lanfen Lin
Ruofeng Tong
Hongjie Hu
Qiaowei Zhang
Yutaro Iwamoto
Xianhua Han
Yenwei Chen
Jian Wu
SSeg
67
1,807
0
19 Apr 2020
MetNet: A Neural Weather Model for Precipitation Forecasting
MetNet: A Neural Weather Model for Precipitation Forecasting
C. Sønderby
L. Espeholt
Jonathan Heek
Mostafa Dehghani
Avital Oliver
Tim Salimans
Shreya Agrawal
Jason Hickey
Nal Kalchbrenner
AI4Cl
297
277
0
24 Mar 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
Nicolas Thome
AI4CEPINN
157
291
0
03 Mar 2020
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for
  Weather Forecasting
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting
Rafaela C. Nascimento
Y. M. Souto
Eduardo S. Ogasawara
Fábio Porto
Eduardo Bezerra
AI4TS
53
86
0
30 Nov 2019
High Fidelity Video Prediction with Large Stochastic Recurrent Neural
  Networks
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Ruben Villegas
Arkanath Pathak
Harini Kannan
D. Erhan
Quoc V. Le
Honglak Lee
VGen
66
139
0
05 Nov 2019
Low-Memory Neural Network Training: A Technical Report
Low-Memory Neural Network Training: A Technical Report
N. Sohoni
Christopher R. Aberger
Megan Leszczynski
Jian Zhang
Christopher Ré
63
102
0
24 Apr 2019
Res2Net: A New Multi-scale Backbone Architecture
Res2Net: A New Multi-scale Backbone Architecture
Shanghua Gao
Ming-Ming Cheng
Kai Zhao
Xinyu Zhang
Ming-Hsuan Yang
Philip Torr
126
2,398
0
02 Apr 2019
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
End-to-end Structure-Aware Convolutional Networks for Knowledge Base
  Completion
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
Mingmin Zhen
Jinglu Wang
Lei Zhou
Jinbo Bi
Tian Fang
Long Quan
GNN
68
597
0
11 Nov 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
Relational Neural Expectation Maximization: Unsupervised Discovery of
  Objects and their Interactions
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Sjoerd van Steenkiste
Michael Chang
Klaus Greff
Jürgen Schmidhuber
BDLOCLDRL
209
292
0
28 Feb 2018
Stochastic Video Generation with a Learned Prior
Stochastic Video Generation with a Learned Prior
Emily L. Denton
Rob Fergus
VGen
100
526
0
21 Feb 2018
MoCoGAN: Decomposing Motion and Content for Video Generation
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov
Ming-Yuan Liu
Xiaodong Yang
Jan Kautz
GAN
144
1,150
0
17 Jul 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
Understanding the Effective Receptive Field in Deep Convolutional Neural
  Networks
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Wenjie Luo
Yujia Li
R. Urtasun
R. Zemel
HAI
102
1,803
0
15 Jan 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
488
22,158
0
09 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
522
10,351
0
16 Nov 2016
Deep Visual Foresight for Planning Robot Motion
Deep Visual Foresight for Planning Robot Motion
Chelsea Finn
Sergey Levine
123
788
0
03 Oct 2016
Deep multi-scale video prediction beyond mean square error
Deep multi-scale video prediction beyond mean square error
Michaël Mathieu
Camille Couprie
Yann LeCun
GAN
130
1,882
0
17 Nov 2015
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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