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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
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and
  Relations Discovery
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery
Ali Ziat
E. Delasalles
Ludovic Denoyer
Patrick Gallinari
BDL
AI4TS
AI4CE
18
74
0
23 Apr 2018
STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection
STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection
Sangmin Lee
Hak Gu Kim
Yong Man Ro
3DPC
GAN
6
83
0
23 Apr 2018
To Create What You Tell: Generating Videos from Captions
To Create What You Tell: Generating Videos from Captions
Yingwei Pan
Zhaofan Qiu
Ting Yao
Houqiang Li
Tao Mei
GAN
24
152
0
23 Apr 2018
Unsupervised learning of the brain connectivity dynamic using residual
  D-net
Unsupervised learning of the brain connectivity dynamic using residual D-net
Youngjoo Seo
Manuel Morante
Y. Kopsinis
Sergios Theodoridis
13
4
0
20 Apr 2018
Modelling customer online behaviours with neural networks: applications
  to conversion prediction and advertising retargeting
Modelling customer online behaviours with neural networks: applications to conversion prediction and advertising retargeting
Yanwei Cui
Rogatien Tobossi
Olivia Vigouroux
MU
17
11
0
20 Apr 2018
Sampling-free Uncertainty Estimation in Gated Recurrent Units with
  Exponential Families
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families
Seong Jae Hwang
Ronak R. Mehta
Hyunwoo J. Kim
Vikas Singh
BDL
UQCV
12
3
0
19 Apr 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
12
470
0
17 Apr 2018
Encoding Longer-term Contextual Multi-modal Information in a Predictive
  Coding Model
Encoding Longer-term Contextual Multi-modal Information in a Predictive Coding Model
Junpei Zhong
T. Ogata
Angelo Cangelosi
AI4CE
14
4
0
17 Apr 2018
Towards High Performance Video Object Detection for Mobiles
Towards High Performance Video Object Detection for Mobiles
Xizhou Zhu
Jifeng Dai
Xingchi Zhu
Yichen Wei
Lu Yuan
ObjD
18
49
0
16 Apr 2018
BigDL: A Distributed Deep Learning Framework for Big Data
BigDL: A Distributed Deep Learning Framework for Big Data
J. Dai
Yiheng Wang
Xin Qiu
Ding Ding
Yao Zhang
...
Bowen She
Dongjie Shi
Qiaoling Lu
Kai-Qi Huang
Guoqiong Song
FedML
MoE
11
102
0
16 Apr 2018
Road Segmentation Using CNN with GRU
Road Segmentation Using CNN with GRU
Yecheng Lyu
Xinming Huang
24
18
0
14 Apr 2018
Mutual Suppression Network for Video Prediction using Disentangled
  Features
Mutual Suppression Network for Video Prediction using Disentangled Features
Jungbeom Lee
Jangho Lee
Sungmin Lee
Sungroh Yoon
DRL
11
2
0
13 Apr 2018
AFA-PredNet: The action modulation within predictive coding
AFA-PredNet: The action modulation within predictive coding
Junpei Zhong
Angelo Cangelosi
Xinzheng Zhang
T. Ogata
13
10
0
11 Apr 2018
Bringing Alive Blurred Moments
Bringing Alive Blurred Moments
Kuldeep Purohit
Anshul B. Shah
A. N. Rajagopalan
14
80
0
09 Apr 2018
Stochastic Adversarial Video Prediction
Stochastic Adversarial Video Prediction
Alex X. Lee
Richard Y. Zhang
F. Ebert
Pieter Abbeel
Chelsea Finn
Sergey Levine
DRL
VGen
GAN
23
450
0
04 Apr 2018
Pancreas Segmentation in CT and MRI Images via Domain Specific Network
  Designing and Recurrent Neural Contextual Learning
Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning
Jinzheng Cai
Le Lu
Fuyong Xing
L. Yang
MedIm
15
36
0
30 Mar 2018
Predicting the Future with Transformational States
Predicting the Future with Transformational States
Andrew Jaegle
Oleh Rybkin
Konstantinos G. Derpanis
Kostas Daniilidis
16
2
0
26 Mar 2018
MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time
  Series Forecasting
MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series Forecasting
Bernardo Pérez Orozco
G. Abbati
Stephen J. Roberts
OOD
AI4TS
11
14
0
26 Mar 2018
Efficient Interactive Annotation of Segmentation Datasets with
  Polygon-RNN++
Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
David Acuna
Huan Ling
Amlan Kar
Sanja Fidler
11
402
0
26 Mar 2018
Low-Resource Speech-to-Text Translation
Low-Resource Speech-to-Text Translation
Sameer Bansal
Herman Kamper
Karen Livescu
Adam Lopez
Sharon Goldwater
11
56
0
24 Mar 2018
Geometric and Physical Constraints for Drone-Based Head Plane Crowd
  Density Estimation
Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation
Weizhe Liu
Krzysztof Lis
Mathieu Salzmann
Pascal Fua
23
10
0
23 Mar 2018
Stacked Neural Networks for end-to-end ciliary motion analysis
Stacked Neural Networks for end-to-end ciliary motion analysis
Charles Lu
M. Marx
M. Zahid
C. Lo
C. Chennubhotla
Shannon P. Quinn
14
3
0
20 Mar 2018
Ocean Eddy Identification and Tracking using Neural Networks
Ocean Eddy Identification and Tracking using Neural Networks
K. Franz
R. Roscher
Andres Milioto
Susanne Wenzel
J. Kusche
AI4Cl
20
69
0
20 Mar 2018
A Temporally-Aware Interpolation Network for Video Frame Inpainting
A Temporally-Aware Interpolation Network for Video Frame Inpainting
Ximeng Sun
Ryan Szeto
Jason J. Corso
15
24
0
20 Mar 2018
A Dataset and Architecture for Visual Reasoning with a Working Memory
A Dataset and Architecture for Visual Reasoning with a Working Memory
G. R. Yang
Igor Ganichev
Xiao-Jing Wang
Jonathon Shlens
David Sussillo
14
54
0
16 Mar 2018
Generalised Structural CNNs (SCNNs) for time series data with arbitrary
  graph topology
Generalised Structural CNNs (SCNNs) for time series data with arbitrary graph topology
Thomas Teh
C. Auepanwiriyakul
J. Harston
A. Faisal
GNN
25
2
0
14 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
19
1,303
0
12 Mar 2018
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail
  Demand Forecasting
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting
Srayanta Mukherjee
Devashish Shankar
Atin Ghosh
Nilam Tathawadekar
Pramod Kompalli
Sunita Sarawagi
K. Chaudhury
BDL
14
30
0
10 Mar 2018
Generating Goal-Directed Visuomotor Plans Based on Learning Using a
  Predictive Coding-type Deep Visuomotor Recurrent Neural Network Model
Generating Goal-Directed Visuomotor Plans Based on Learning Using a Predictive Coding-type Deep Visuomotor Recurrent Neural Network Model
Minkyu Choi
Takazumi Matsumoto
Minju Jung
Jun Tani
8
4
0
07 Mar 2018
Discovering Underlying Plans Based on Shallow Models
Discovering Underlying Plans Based on Shallow Models
Hankui Zhuo
Yantian Zha
S. Kambhampati
12
22
0
04 Mar 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks
  for Sequence Modeling
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
DRL
8
4,708
0
04 Mar 2018
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for
  Traffic Prediction
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
Huaxiu Yao
Xianfeng Tang
Hua Wei
Guanjie Zheng
Z. Li
AI4TS
22
708
0
03 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
21
873
0
03 Mar 2018
Temporally Identity-Aware SSD with Attentional LSTM
Temporally Identity-Aware SSD with Attentional LSTM
Xingyu Chen
Junzhi Yu
Zhengxing Wu
13
58
0
01 Mar 2018
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid
  Flow
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow
S. Wiewel
M. Becher
N. Thürey
AI4CE
14
271
0
27 Feb 2018
CNN+LSTM Architecture for Speech Emotion Recognition with Data
  Augmentation
CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation
Caroline Etienne
Guillaume Fidanza
Andrei Petrovskii
Laurence Devillers
B. Schmauch
19
99
0
15 Feb 2018
Multiparametric Deep Learning Tissue Signatures for a Radiological
  Biomarker of Breast Cancer: Preliminary Results
Multiparametric Deep Learning Tissue Signatures for a Radiological Biomarker of Breast Cancer: Preliminary Results
V. Parekh
K. Macura
S. Harvey
I. Kamel
R. Khouli
D. Bluemke
M. Jacobs
MedIm
21
35
0
10 Feb 2018
Effective Quantization Approaches for Recurrent Neural Networks
Effective Quantization Approaches for Recurrent Neural Networks
Md. Zahangir Alom
A. Moody
N. Maruyama
B. Van Essen
T. Taha
MQ
8
33
0
07 Feb 2018
Multi-Temporal Land Cover Classification with Sequential Recurrent
  Encoders
Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders
M. Rußwurm
Marco Körner
25
273
0
06 Feb 2018
Scale-recurrent Network for Deep Image Deblurring
Scale-recurrent Network for Deep Image Deblurring
Xin Tao
Hongyun Gao
Yi Wang
Xiaoyong Shen
Jue Wang
Jiaya Jia
SupR
19
1,091
0
06 Feb 2018
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction
Leye Wang
Xu Geng
Xiaojuan Ma
Feng Liu
Qiang Yang
AI4TS
13
30
0
01 Feb 2018
Dual Recurrent Attention Units for Visual Question Answering
Dual Recurrent Attention Units for Visual Question Answering
Ahmed Osman
Wojciech Samek
28
30
0
01 Feb 2018
Revisiting Video Saliency: A Large-scale Benchmark and a New Model
Revisiting Video Saliency: A Large-scale Benchmark and a New Model
Wenguan Wang
Jianbing Shen
Fang Guo
Ming-Ming Cheng
Ali Borji
VLM
8
263
0
23 Jan 2018
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
Seunghoon Hong
Dingdong Yang
Jongwook Choi
Honglak Lee
EGVM
18
336
0
16 Jan 2018
Deep Episodic Memory: Encoding, Recalling, and Predicting Episodic
  Experiences for Robot Action Execution
Deep Episodic Memory: Encoding, Recalling, and Predicting Episodic Experiences for Robot Action Execution
Jonas Rothfuss
Fabio Ferreira
E. Aksoy
You Zhou
Tamim Asfour
30
37
0
12 Jan 2018
RGB image-based data analysis via discrete Morse theory and persistent
  homology
RGB image-based data analysis via discrete Morse theory and persistent homology
C. Du
Christopher Szul
Adarsh Manawa
Nima Rasekh
Rosemary Guzman
Ruth Davidson
11
5
0
09 Jan 2018
An overview of deep learning based methods for unsupervised and
  semi-supervised anomaly detection in videos
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos
Dilip Ravi Kiran
Mathew Thomas
Ranjith Parakkal
26
443
0
09 Jan 2018
Instance Embedding Transfer to Unsupervised Video Object Segmentation
Instance Embedding Transfer to Unsupervised Video Object Segmentation
Siyang Li
Bryan Seybold
A. Vorobyov
Alireza Fathi
Qin Huang
C.-C. Jay Kuo
VOS
18
104
0
03 Jan 2018
Recent Advances in Recurrent Neural Networks
Recent Advances in Recurrent Neural Networks
Hojjat Salehinejad
Sharan Sankar
Joseph Barfett
E. Colak
S. Valaee
AI4TS
22
573
0
29 Dec 2017
Future Frame Prediction for Anomaly Detection -- A New Baseline
Future Frame Prediction for Anomaly Detection -- A New Baseline
Wen Liu
Weixin Luo
Dongze Lian
Shenghua Gao
3DH
16
1,060
0
28 Dec 2017
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