ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1506.04214
  4. Cited By
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting

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
ArXivPDFHTML

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

50 / 1,919 papers shown
Title
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
GNN
DiffM
AI4TS
52
99
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
25
241
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
24
592
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
12
598
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
25
784
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
11
26
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
22
824
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
J. Schnabel
MedIm
12
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
25
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
14
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
13
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
23
161
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
22
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
10
325
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
8
358
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
14
491
0
10 Apr 2017
Factorization tricks for LSTM networks
Factorization tricks for LSTM networks
Oleksii Kuchaiev
Boris Ginsburg
22
112
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
AIMat
AI4TS
13
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
Z. Chen
17
341
0
24 Mar 2017
Recurrent Multimodal Interaction for Referring Image Segmentation
Recurrent Multimodal Interaction for Referring Image Segmentation
Chenxi Liu
Zhe-nan Lin
Xiaohui Shen
Jimei Yang
Xin Lu
Alan Yuille
EgoV
33
234
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
31
259
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
14
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
18
160
0
18 Mar 2017
Learning Deep Matrix Representations
Learning Deep Matrix Representations
Kien Do
T. Tran
Svetha Venkatesh
GNN
17
5
0
04 Mar 2017
On the Origin of Deep Learning
On the Origin of Deep Learning
Haohan Wang
Bhiksha Raj
MedIm
3DV
VLM
40
223
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
14
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
14
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
GNN
3DPC
HAI
AI4TS
11
428
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
24
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
15
538
0
06 Jan 2017
Feedback Networks
Feedback Networks
Amir Zamir
Te-Lin Wu
Lin Sun
Bokui (William) Shen
Jitendra Malik
Silvio Savarese
16
209
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
25
757
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
19
346
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
11
18
0
07 Dec 2016
Video Ladder Networks
Video Ladder Networks
Francesco Cricri
Xingyang Ni
M. Honkala
Emre B. Aksu
M. Gabbouj
20
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
F. I. F. Richard Yu
Trevor Darrell
40
821
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
16
248
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
DRL
AI4TS
19
238
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
VGen
DiffM
24
67
0
30 Nov 2016
Deep Watershed Transform for Instance Segmentation
Deep Watershed Transform for Instance Segmentation
Min Bai
R. Urtasun
ISeg
SSeg
16
518
0
24 Nov 2016
On The Stability of Video Detection and Tracking
On The Stability of Video Detection and Tracking
Hong Zhang
Naiyan Wang
32
20
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
28
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
22
15
0
31 Oct 2016
Can Active Memory Replace Attention?
Can Active Memory Replace Attention?
Lukasz Kaiser
Samy Bengio
25
58
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
16
409
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
24
421
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
3DPC
AI4TS
19
2,023
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
22
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
11
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
L. Yang
Yizhe Zhang
M. Alber
D. Z. Chen
21
309
0
05 Sep 2016
Previous
123...373839
Next