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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"

50 / 1,939 papers shown
Title
Learning to Detect Violent Videos using Convolutional Long Short-Term
  Memory
Learning to Detect Violent Videos using Convolutional Long Short-Term Memory
Swathikiran Sudhakaran
Oswald Lanz
67
217
0
19 Sep 2017
Convolutional Long Short-Term Memory Networks for Recognizing First
  Person Interactions
Convolutional Long Short-Term Memory Networks for Recognizing First Person Interactions
Swathikiran Sudhakaran
Oswald Lanz
55
40
0
19 Sep 2017
Predicting Video Saliency with Object-to-Motion CNN and Two-layer
  Convolutional LSTM
Predicting Video Saliency with Object-to-Motion CNN and Two-layer Convolutional LSTM
Lai Jiang
Mai Xu
Zulin Wang
106
120
0
19 Sep 2017
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework
  for Traffic Forecasting
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Ting Yu
Haoteng Yin
Zhanxing Zhu
GNNAI4TS
165
3,761
0
14 Sep 2017
Differentiating Objects by Motion: Joint Detection and Tracking of Small
  Flying Objects
Differentiating Objects by Motion: Joint Detection and Tracking of Small Flying Objects
Ryota Yoshihashi
T. Trinh
Rei Kawakami
Shaodi You
M. Iida
T. Naemura
ObjD
80
6
0
14 Sep 2017
An unsupervised long short-term memory neural network for event
  detection in cell videos
An unsupervised long short-term memory neural network for event detection in cell videos
Ha Tran Hong Phan
Ashnil Kumar
Dagan Feng
M. Fulham
Jinman Kim
79
5
0
07 Sep 2017
A Comprehensive Survey of Deep Learning in Remote Sensing: Theories,
  Tools and Challenges for the Community
A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community
John E. Ball
Derek T. Anderson
Chee Seng Chan
76
521
0
01 Sep 2017
Hierarchical Multi-scale Attention Networks for Action Recognition
Hierarchical Multi-scale Attention Networks for Action Recognition
Shiyang Yan
Jeremy S. Smith
Wenjin Lu
Bailing Zhang
82
37
0
25 Aug 2017
Learning Anytime Predictions in Neural Networks via Adaptive Loss
  Balancing
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
Hanzhang Hu
Debadeepta Dey
M. Hebert
J. Andrew Bagnell
71
6
0
22 Aug 2017
Lattice Long Short-Term Memory for Human Action Recognition
Lattice Long Short-Term Memory for Human Action Recognition
Lin Sun
Kui Jia
Kevin Chen
Dit-Yan Yeung
Bertram E. Shi
Silvio Savarese
85
156
0
13 Aug 2017
Recurrent Filter Learning for Visual Tracking
Recurrent Filter Learning for Visual Tracking
Tianyu Yang
Antoni B. Chan
VOT
73
84
0
13 Aug 2017
Deep Steering: Learning End-to-End Driving Model from Spatial and
  Temporal Visual Cues
Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues
Lu Chi
Yadong Mu
LLMSV
59
110
0
12 Aug 2017
GlobeNet: Convolutional Neural Networks for Typhoon Eye Tracking from
  Remote Sensing Imagery
GlobeNet: Convolutional Neural Networks for Typhoon Eye Tracking from Remote Sensing Imagery
Seungkyun Hong
Seongchan Kim
M. Joh
Sa-kwang Song
72
36
0
11 Aug 2017
Predictive Coding for Dynamic Visual Processing: Development of
  Functional Hierarchy in a Multiple Spatio-Temporal Scales RNN Model
Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatio-Temporal Scales RNN Model
Minkyu Choi
Jun Tani
77
19
0
02 Aug 2017
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection
Yuan. Yuan
Xiaodan Liang
Xinyu Wang
Dit-Yan Yeung
Abhinav Gupta
83
93
0
02 Aug 2017
Dual Motion GAN for Future-Flow Embedded Video Prediction
Dual Motion GAN for Future-Flow Embedded Video Prediction
Xiaodan Liang
Lisa Lee
Wei-Ming Dai
Eric Xing
GAN
113
366
0
01 Aug 2017
Recurrent Ladder Networks
Recurrent Ladder Networks
Isabeau Prémont-Schwarz
Alexander Ilin
T. Hao
Antti Rasmus
Rinu Boney
Harri Valpola
129
41
0
28 Jul 2017
Spatiotemporal Modeling for Crowd Counting in Videos
Spatiotemporal Modeling for Crowd Counting in Videos
Feng Xiong
Xingjian Shi
Dit-Yan Yeung
85
184
0
25 Jul 2017
Neural Person Search Machines
Neural Person Search Machines
Hao Liu
Jiashi Feng
Zequn Jie
J. Karlekar
Bo Zhao
Meibin Qi
Jianguo Jiang
Shuicheng Yan
163
155
0
21 Jul 2017
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent
  Neural Contextual Learning and Direct Loss Function
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function
Jinzheng Cai
Le Lu
Yuanpu Xie
Fuyong Xing
Ling Yang
MedImSSeg
83
132
0
16 Jul 2017
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic
  Forecasting
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Yaguang Li
Rose Yu
Cyrus Shahabi
Yan Liu
GNNDiffMAI4TS
133
100
0
06 Jul 2017
Tensor-Train Recurrent Neural Networks for Video Classification
Tensor-Train Recurrent Neural Networks for Video Classification
Yinchong Yang
Denis Krompass
Volker Tresp
80
245
0
06 Jul 2017
Decomposing Motion and Content for Natural Video Sequence Prediction
Decomposing Motion and Content for Natural Video Sequence Prediction
Ruben Villegas
Jimei Yang
Seunghoon Hong
Xunyu Lin
Honglak Lee
96
598
0
25 Jun 2017
Short-Term Forecasting of Passenger Demand under On-Demand Ride
  Services: A Spatio-Temporal Deep Learning Approach
Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach
Jintao Ke
Hongyu Zheng
Hai Yang
Xiqun
X. Chen
AI4TS
69
606
0
20 Jun 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
97
799
0
12 Jun 2017
Assessing the Performance of Deep Learning Algorithms for Newsvendor
  Problem
Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem
Yanfei Zhang
Junbin Gao
OOD
49
27
0
09 Jun 2017
Deep Complex Networks
Deep Complex Networks
C. Trabelsi
O. Bilaniuk
Ying Zhang
Dmitriy Serdyuk
Sandeep Subramanian
J. F. Santos
Soroush Mehri
Negar Rostamzadeh
Yoshua Bengio
C. Pal
255
837
0
27 May 2017
Extracting 3D Vascular Structures from Microscopy Images using
  Convolutional Recurrent Networks
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks
Russell Bates
B. Irving
B. Markelc
Jakob Kaeppler
R. Muschel
Vicente Grau
Julia A. Schnabel
MedIm
79
20
0
26 May 2017
Adaptive Detrending to Accelerate Convolutional Gated Recurrent Unit
  Training for Contextual Video Recognition
Adaptive Detrending to Accelerate Convolutional Gated Recurrent Unit Training for Contextual Video Recognition
Minju Jung
Haanvid Lee
Jun Tani
AI4TS
77
42
0
24 May 2017
CHAM: action recognition using convolutional hierarchical attention
  model
CHAM: action recognition using convolutional hierarchical attention model
Shiyang Yan
Jeremy S. Smith
Wenjin Lu
Bailing Zhang
63
8
0
09 May 2017
Multi Resolution LSTM For Long Term Prediction In Neural Activity Video
Multi Resolution LSTM For Long Term Prediction In Neural Activity Video
Yilin Song
J. Viventi
Yao Wang
23
1
0
08 May 2017
Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical
  Segmentation
Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation
Kuan-Lun Tseng
Yen-Liang Lin
Winston H. Hsu
Chung-Yang Huang
MedIm
69
163
0
25 Apr 2017
Learning to Generate Long-term Future via Hierarchical Prediction
Learning to Generate Long-term Future via Hierarchical Prediction
Ruben Villegas
Jimei Yang
Yuliang Zou
Sungryull Sohn
Xunyu Lin
Honglak Lee
112
380
0
19 Apr 2017
Learning Video Object Segmentation with Visual Memory
Learning Video Object Segmentation with Visual Memory
P. Tokmakov
Alahari Karteek
Cordelia Schmid
VOS
76
326
0
19 Apr 2017
Annotating Object Instances with a Polygon-RNN
Annotating Object Instances with a Polygon-RNN
Lluis Castrejon
Kaustav Kundu
R. Urtasun
Sanja Fidler
SSeg
141
361
0
18 Apr 2017
Detail-revealing Deep Video Super-resolution
Detail-revealing Deep Video Super-resolution
Xin Tao
Hongyun Gao
Renjie Liao
Jue Wang
Jiaya Jia
SupR
95
506
0
10 Apr 2017
Factorization tricks for LSTM networks
Factorization tricks for LSTM networks
Oleksii Kuchaiev
Boris Ginsburg
104
113
0
31 Mar 2017
Position-based Content Attention for Time Series Forecasting with
  Sequence-to-sequence RNNs
Position-based Content Attention for Time Series Forecasting with Sequence-to-sequence RNNs
Yagmur Gizem Cinar
Hamid Mirisaee
Parantapa Goswami
Éric Gaussier
Ali Aït-Bachir
V. Strijov
AIMatAI4TS
56
74
0
29 Mar 2017
Sequence-to-Sequence Models Can Directly Translate Foreign Speech
Sequence-to-Sequence Models Can Directly Translate Foreign Speech
Ron J. Weiss
J. Chorowski
Navdeep Jaitly
Yonghui Wu
Zhiwen Chen
82
344
0
24 Mar 2017
Recurrent Multimodal Interaction for Referring Image Segmentation
Recurrent Multimodal Interaction for Referring Image Segmentation
Chenxi Liu
Zhe Lin
Xiaohui Shen
Jimei Yang
Xin Lu
Alan Yuille
EgoV
94
241
0
23 Mar 2017
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning
  for Hyperspectral Image Classification
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification
Qingshan Liu
F. Zhou
Renlong Hang
Xiaotong Yuan
77
260
0
23 Mar 2017
QMDP-Net: Deep Learning for Planning under Partial Observability
QMDP-Net: Deep Learning for Planning under Partial Observability
Peter Karkus
David Hsu
Wee Sun Lee
PINN
127
156
0
20 Mar 2017
RoomNet: End-to-End Room Layout Estimation
RoomNet: End-to-End Room Layout Estimation
Chen-Yu Lee
Vijay Badrinarayanan
Tomasz Malisiewicz
Andrew Rabinovich
3DV
86
162
0
18 Mar 2017
Learning Deep Matrix Representations
Learning Deep Matrix Representations
Kien Do
T. Tran
Svetha Venkatesh
GNN
51
5
0
04 Mar 2017
On the Origin of Deep Learning
On the Origin of Deep Learning
Haohan Wang
Bhiksha Raj
MedIm3DVVLM
145
225
0
24 Feb 2017
Progressively Diffused Networks for Semantic Image Segmentation
Progressively Diffused Networks for Semantic Image Segmentation
Ruimao Zhang
Wei Yang
Zhanglin Peng
Xiaogang Wang
Liang Lin
SSeg
23
3
0
20 Feb 2017
Application of Multi-channel 3D-cube Successive Convolution Network for
  Convective Storm Nowcasting
Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting
Wei Zhang
Lei Han
Juanzhen Sun
Hanyang Guo
Jie Dai
AI4Cl
74
37
0
15 Feb 2017
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual
  Networks
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks
Junbo Zhang
Yu Zheng
Dekang Qi
Ruiyuan Li
Xiuwen Yi
Tianrui Li
GNN3DPCHAIAI4TS
78
439
0
10 Jan 2017
Unsupervised Learning of Long-Term Motion Dynamics for Videos
Unsupervised Learning of Long-Term Motion Dynamics for Videos
Zelun Luo
Boya Peng
De-An Huang
Alexandre Alahi
Li Fei-Fei
SSL
105
193
0
07 Jan 2017
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
Yong Shean Chong
Yong Haur Tay
106
541
0
06 Jan 2017
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