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Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
v1v2 (latest)

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

13 June 2015
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
ArXiv (abs)PDFHTML

Papers citing "Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting"

39 / 1,939 papers shown
Title
Feedback Networks
Feedback Networks
Amir Zamir
Te-Lin Wu
Lin Sun
Bokui (William) Shen
Jitendra Malik
Silvio Savarese
95
211
0
30 Dec 2016
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Youngjoo Seo
M. Defferrard
P. Vandergheynst
Xavier Bresson
GNN
159
787
0
22 Dec 2016
Spatially Adaptive Computation Time for Residual Networks
Spatially Adaptive Computation Time for Residual Networks
Michael Figurnov
Maxwell D. Collins
Yukun Zhu
Li Zhang
Jonathan Huang
Dmitry Vetrov
Ruslan Salakhutdinov
75
351
0
07 Dec 2016
ExtremeWeather: A large-scale climate dataset for semi-supervised
  detection, localization, and understanding of extreme weather events
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Evan Racah
Christopher Beckham
Tegan Maharaj
Samira Ebrahimi Kahou
P. Prabhat
C. Pal
115
18
0
07 Dec 2016
Video Ladder Networks
Video Ladder Networks
Francesco Cricri
Xingyang Ni
Mikko Honkala
Emre B. Aksu
Moncef Gabbouj
90
27
0
06 Dec 2016
End-to-end Learning of Driving Models from Large-scale Video Datasets
End-to-end Learning of Driving Models from Large-scale Video Datasets
Huazhe Xu
Yang Gao
Feng Yu
Trevor Darrell
169
828
0
04 Dec 2016
Short-term traffic flow forecasting with spatial-temporal correlation in
  a hybrid deep learning framework
Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
Yuankai Wu
Huachun Tan
AI4TS
83
253
0
03 Dec 2016
Anomaly Detection in Video Using Predictive Convolutional Long
  Short-Term Memory Networks
Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks
J. Medel
Andreas E. Savakis
DRLAI4TS
107
239
0
01 Dec 2016
Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive
  Architectures
Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures
Gaurav Mittal
Tanya Marwah
V. Balasubramanian
VGenDiffM
101
67
0
30 Nov 2016
Deep Watershed Transform for Instance Segmentation
Deep Watershed Transform for Instance Segmentation
Min Bai
R. Urtasun
ISegSSeg
142
525
0
24 Nov 2016
On The Stability of Video Detection and Tracking
On The Stability of Video Detection and Tracking
Hong Zhang
Naiyan Wang
117
22
0
20 Nov 2016
Diversity encouraged learning of unsupervised LSTM ensemble for neural
  activity video prediction
Diversity encouraged learning of unsupervised LSTM ensemble for neural activity video prediction
Yilin Song
J. Viventi
Yao Wang
AI4TS
54
2
0
15 Nov 2016
Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All
  Networks
Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks
Eder Santana
Matthew S. Emigh
Pablo Zegers
José C. Príncipe
BDL
109
15
0
31 Oct 2016
Can Active Memory Replace Attention?
Can Active Memory Replace Attention?
Lukasz Kaiser
Samy Bengio
89
59
0
27 Oct 2016
Very Deep Convolutional Networks for End-to-End Speech Recognition
Very Deep Convolutional Networks for End-to-End Speech Recognition
Yu Zhang
William Chan
Navdeep Jaitly
AI4TS
101
412
0
10 Oct 2016
Video Pixel Networks
Video Pixel Networks
Nal Kalchbrenner
Aaron van den Oord
Karen Simonyan
Ivo Danihelka
Oriol Vinyals
Alex Graves
Koray Kavukcuoglu
111
426
0
03 Oct 2016
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows
  Prediction
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Junbo Zhang
Yu Zheng
Dekang Qi
3DPCAI4TS
138
2,075
0
01 Oct 2016
Deep Tracking on the Move: Learning to Track the World from a Moving
  Vehicle using Recurrent Neural Networks
Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks
J. Dequaire
Dushyant Rao
Peter Ondruska
Dominic Zeng Wang
Ingmar Posner
95
20
0
29 Sep 2016
Geometry-Based Next Frame Prediction from Monocular Video
Geometry-Based Next Frame Prediction from Monocular Video
R. Mahjourian
Martin Wicke
A. Angelova
MDE
81
41
0
20 Sep 2016
Combining Fully Convolutional and Recurrent Neural Networks for 3D
  Biomedical Image Segmentation
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation
Jianxu Chen
Ling Yang
Yizhe Zhang
M. Alber
Danny Chen
98
309
0
05 Sep 2016
Applying Deep Learning to the Newsvendor Problem
Applying Deep Learning to the Newsvendor Problem
Afshin Oroojlooyjadid
L. Snyder
Martin Takáč
OOD
94
133
0
07 Jul 2016
VideoLSTM Convolves, Attends and Flows for Action Recognition
VideoLSTM Convolves, Attends and Flows for Action Recognition
Zhenyang Li
E. Gavves
Mihir Jain
Cees G. M. Snoek
113
465
0
06 Jul 2016
Predictive Coding for Dynamic Vision : Development of Functional
  Hierarchy in a Multiple Spatio-Temporal Scales RNN Model
Predictive Coding for Dynamic Vision : Development of Functional Hierarchy in a Multiple Spatio-Temporal Scales RNN Model
Minkyu Choi
Jun Tani
BDL
39
7
0
06 Jun 2016
Deep Recurrent Convolutional Networks for Video-based Person
  Re-identification: An End-to-End Approach
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach
Lin Wu
Chunhua Shen
Anton Van Den Hengel
95
66
0
06 Jun 2016
Recurrent Fully Convolutional Networks for Video Segmentation
Recurrent Fully Convolutional Networks for Video Segmentation
Sepehr Valipour
Mennatullah Siam
Martin Jägersand
Nilanjan Ray
VOS
108
91
0
01 Jun 2016
A Systematic Evaluation and Benchmark for Person Re-Identification:
  Features, Metrics, and Datasets
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
Srikrishna Karanam
Mengran Gou
Ziyan Wu
Angels Rates-Borras
Mario Sznaier
Richard J. Radke
111
58
0
31 May 2016
End-to-End Instance Segmentation with Recurrent Attention
End-to-End Instance Segmentation with Recurrent Attention
Mengye Ren
R. Zemel
SSeg
118
62
0
30 May 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
144
936
0
25 May 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
96
1,050
0
23 May 2016
Application of Deep Convolutional Neural Networks for Detecting Extreme
  Weather in Climate Datasets
Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets
Yunjie Liu
Evan Racah
P. Prabhat
Joaquin Correa
A. Khosrowshahi
D. Lavers
K. Kunkel
M. Wehner
W. Collins
AI4Cl
94
353
0
04 May 2016
End-to-End Tracking and Semantic Segmentation Using Recurrent Neural
  Networks
End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks
Peter Ondruska
J. Dequaire
Dominic Zeng Wang
Ingmar Posner
118
62
0
18 Apr 2016
Minimal Gated Unit for Recurrent Neural Networks
Minimal Gated Unit for Recurrent Neural Networks
Guoxiang Zhou
Jianxin Wu
Chen-Da Liu-Zhang
Zhi Zhou
83
332
0
31 Mar 2016
Learning Over Long Time Lags
Learning Over Long Time Lags
Hojjat Salehinejad
AI4TS
57
8
0
13 Feb 2016
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
Peter Ondruska
Ingmar Posner
80
239
0
02 Feb 2016
Recurrent Instance Segmentation
Recurrent Instance Segmentation
Bernardino Romera-Paredes
Philip Torr
SSeg
99
328
0
25 Nov 2015
Neural GPUs Learn Algorithms
Neural GPUs Learn Algorithms
Lukasz Kaiser
Ilya Sutskever
107
370
0
25 Nov 2015
Delving Deeper into Convolutional Networks for Learning Video
  Representations
Delving Deeper into Convolutional Networks for Learning Video Representations
Nicolas Ballas
L. Yao
C. Pal
Aaron Courville
MDE
108
703
0
19 Nov 2015
Spatio-temporal video autoencoder with differentiable memory
Spatio-temporal video autoencoder with differentiable memory
Viorica Patraucean
Ankur Handa
R. Cipolla
100
307
0
19 Nov 2015
Variable Rate Image Compression with Recurrent Neural Networks
Variable Rate Image Compression with Recurrent Neural Networks
G. Toderici
Sean M. O'Malley
S. Hwang
Damien Vincent
David C. Minnen
S. Baluja
Michele Covell
Rahul Sukthankar
123
671
0
19 Nov 2015
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