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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 / 1,940 papers shown
Title
Prediction of Temperature and Rainfall in Bangladesh using Long Short
  Term Memory Recurrent Neural Networks
Prediction of Temperature and Rainfall in Bangladesh using Long Short Term Memory Recurrent Neural Networks
Mohammad Mahmudur Rahman Khan
M. Siddique
S. Sakib
A. Aziz
Ihtyaz Kader Tasawar
Ziad Hossain
12
10
0
22 Oct 2020
Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models
Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models
Sidra Mehtab
Jaydip Sen
AIFin
50
80
0
22 Oct 2020
Trajectory Prediction using Equivariant Continuous Convolution
Trajectory Prediction using Equivariant Continuous Convolution
Robin Walters
Jinxi Li
Rose Yu
82
44
0
21 Oct 2020
Recurrent neural network-based volumetric fluorescence microscopy
Recurrent neural network-based volumetric fluorescence microscopy
Luzhe Huang
Yilin Luo
Y. Rivenson
Aydogan Ozcan
MedIm3DV
87
33
0
21 Oct 2020
Attention Augmented ConvLSTM for Environment Prediction
Attention Augmented ConvLSTM for Environment Prediction
Bernard Lange
Masha Itkina
Mykel J. Kochenderfer
139
21
0
19 Oct 2020
Inferring respiratory and circulatory parameters from electrical
  impedance tomography with deep recurrent models
Inferring respiratory and circulatory parameters from electrical impedance tomography with deep recurrent models
Nils Strodthoff
C. Strodthoff
T. Becher
N. Weiler
I. Frerichs
23
8
0
19 Oct 2020
A Backbone Replaceable Fine-tuning Framework for Stable Face Alignment
A Backbone Replaceable Fine-tuning Framework for Stable Face Alignment
Xu Sun
Zhenfeng Fan
Zihao Zhang
Yingjie Guo
Shi-hong Xia
CVBM
77
1
0
19 Oct 2020
ARENA: A Data-driven Radio Access Networks Analysis of Football Events
ARENA: A Data-driven Radio Access Networks Analysis of Football Events
Lanfranco Zanzi
Vincenzo Sciancalepore
A. Garcia-Saavedra
Xavier Costa Pérez
G. Agapiou
Hans D. Schotten
63
4
0
19 Oct 2020
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation
Bowen Wang
Liangzhi Li
Yuta Nakashima
R. Kawasaki
Hajime Nagahara
Y. Yagi
78
25
0
19 Oct 2020
Learning Monocular Dense Depth from Events
Learning Monocular Dense Depth from Events
Javier Hidalgo-Carrió
Daniel Gehrig
Davide Scaramuzza
MDE
114
117
0
16 Oct 2020
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary
  Differential Equation
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
Sunghyun Park
Kangyeol Kim
Junsoo Lee
Jaegul Choo
Joonseok Lee
Sookyung Kim
Edward Choi
109
56
0
16 Oct 2020
Exploring Flip Flop memories and beyond: training recurrent neural
  networks with key insights
Exploring Flip Flop memories and beyond: training recurrent neural networks with key insights
C. Jarne
35
0
0
15 Oct 2020
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network
  Search Based on Reinforcement Learning and Existing Research Results
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results
Chunnan Wang
Kaixin Zhang
Hongzhi Wang
Bozhou Chen
GNNAI4TS
59
25
0
15 Oct 2020
Deep Learning Models for Predicting Wildfires from Historical
  Remote-Sensing Data
Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
F. Huot
R. Hu
M. Ihme
Qing Wang
J. Burge
Tianjian Lu
Jason Hickey
Yi-Fan Chen
John R. Anderson
97
20
0
15 Oct 2020
Probabilistic Time Series Forecasting with Structured Shape and Temporal
  Diversity
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity
Vincent Le Guen
Nicolas Thome
AI4TS
87
27
0
14 Oct 2020
On Deep Learning Techniques to Boost Monocular Depth Estimation for
  Autonomous Navigation
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation
R. Q. Mendes
E. G. Ribeiro
N. D. S. Rosa
V. Grassi
MDE
105
42
0
13 Oct 2020
Smaller World Models for Reinforcement Learning
Smaller World Models for Reinforcement Learning
Jan Robine
Tobias Uelwer
Stefan Harmeling
DRL
51
3
0
12 Oct 2020
Hybrid-S2S: Video Object Segmentation with Recurrent Networks and
  Correspondence Matching
Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching
Fatemeh Azimi
Stanislav Frolov
Federico Raue
Jörn Hees
Andreas Dengel
VOS
31
3
0
10 Oct 2020
Light Field Salient Object Detection: A Review and Benchmark
Light Field Salient Object Detection: A Review and Benchmark
Keren Fu
Yao Jiang
Ge-Peng Ji
Tao Zhou
Qijun Zhao
Deng-Ping Fan
119
70
0
10 Oct 2020
Augmenting Physical Models with Deep Networks for Complex Dynamics
  Forecasting
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
Yuan Yin
Vincent Le Guen
Jérémie Donà
Emmanuel de Bézenac
Ibrahim Ayed
Nicolas Thome
Patrick Gallinari
AI4CEPINN
130
135
0
09 Oct 2020
HECT: High-Dimensional Ensemble Consistency Testing for Climate Models
HECT: High-Dimensional Ensemble Consistency Testing for Climate Models
Niccolò Dalmasso
Galen B. Vincent
D. Hammerling
Ann B. Lee
AI4Cl
33
0
0
08 Oct 2020
Recurrent convolutional neural network for the surrogate modeling of
  subsurface flow simulation
Recurrent convolutional neural network for the surrogate modeling of subsurface flow simulation
Hyung Jun Yang
Timothy Yeo
J. An
AI4CE
47
1
0
08 Oct 2020
RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile
  Recognition
RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recognition
Yan Yang
Md Zakir Hossain
Tom Gedeon
Shafin Rahman
CVBM
44
10
0
07 Oct 2020
A Study on Trees's Knots Prediction from their Bark Outer-Shape
A Study on Trees's Knots Prediction from their Bark Outer-Shape
Mohamed Mejri
Antoine Richard
C´edric Pradalier
3DPC
28
0
0
05 Oct 2020
Transformers for Modeling Physical Systems
Transformers for Modeling Physical Systems
N. Geneva
N. Zabaras
AI4CE
119
146
0
04 Oct 2020
A Variational Information Bottleneck Based Method to Compress Sequential
  Networks for Human Action Recognition
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition
Ayush Srivastava
Oshin Dutta
A. Prathosh
Sumeet Agarwal
Jigyasa Gupta
61
8
0
03 Oct 2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for
  Physically Embedded 3D Sokoban
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban
Peter Karkus
M. Berk Mirza
A. Guez
Andrew Jaegle
Timothy Lillicrap
Lars Buesing
N. Heess
T. Weber
OffRL
67
8
0
03 Oct 2020
The Efficacy of $L_1$ Regularization in Two-Layer Neural Networks
The Efficacy of L1L_1L1​ Regularization in Two-Layer Neural Networks
Gen Li
Yuantao Gu
Jie Ding
57
7
0
02 Oct 2020
Linguistic Structure Guided Context Modeling for Referring Image
  Segmentation
Linguistic Structure Guided Context Modeling for Referring Image Segmentation
Tianrui Hui
Si Liu
Shaofei Huang
Guanbin Li
Sansi Yu
Faxi Zhang
Jizhong Han
83
154
0
01 Oct 2020
Referring Image Segmentation via Cross-Modal Progressive Comprehension
Referring Image Segmentation via Cross-Modal Progressive Comprehension
Shaofei Huang
Tianrui Hui
Si Liu
Guanbin Li
Yunchao Wei
Jizhong Han
Luoqi Liu
Yue Liu
EgoV
97
183
0
01 Oct 2020
Deformable Kernel Convolutional Network for Video Extreme
  Super-Resolution
Deformable Kernel Convolutional Network for Video Extreme Super-Resolution
Xuan Xu
Xin Xiong
Jinge Wang
Xin Li
SupRAI4TS
56
6
0
01 Oct 2020
Rain-Code Fusion : Code-to-code ConvLSTM Forecasting Spatiotemporal
  Precipitation
Rain-Code Fusion : Code-to-code ConvLSTM Forecasting Spatiotemporal Precipitation
Yasuno Takato
Ishii Akira
Amakata Masazumi
16
0
0
30 Sep 2020
Learning to Compress Videos without Computing Motion
Learning to Compress Videos without Computing Motion
Meixu Chen
T. Goodall
Anjul Patney
A. Bovik
33
10
0
29 Sep 2020
Learning to Detect Objects with a 1 Megapixel Event Camera
Learning to Detect Objects with a 1 Megapixel Event Camera
E. Perot
Pierre de Tournemire
D. Nitti
Jonathan Masci
A. Sironi
ObjD
91
263
0
28 Sep 2020
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks
Zhiyu Yao
Yunbo Wang
Mingsheng Long
Jianmin Wang
AI4TS
51
18
0
24 Sep 2020
Cloud Cover Nowcasting with Deep Learning
Cloud Cover Nowcasting with Deep Learning
Léa Berthomier
Bruno Pradel
Lior Perez
66
25
0
24 Sep 2020
Augmented Convolutional LSTMs for Generation of High-Resolution Climate
  Change Projections
Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections
Nidhin Harilal
Udit Bhatia
M. Singh
AI4Cl
71
26
0
23 Sep 2020
Deep multi-stations weather forecasting: explainable recurrent
  convolutional neural networks
Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks
Ismail Alaoui Abdellaoui
S. Mehrkanoon
AI4TS
33
11
0
23 Sep 2020
Demand Forecasting in Bike-sharing Systems Based on A Multiple
  Spatiotemporal Fusion Network
Demand Forecasting in Bike-sharing Systems Based on A Multiple Spatiotemporal Fusion Network
Xiao Yan
Gang Kou
Feng Xiao
Dapeng Zhang
X. Gan
AI4TS
28
0
0
23 Sep 2020
Using satellite imagery to understand and promote sustainable
  development
Using satellite imagery to understand and promote sustainable development
Marshall Burke
Anne Driscoll
David B. Lobell
Stefano Ermon
77
328
0
23 Sep 2020
Latent State Inference in a Spatiotemporal Generative Model
Latent State Inference in a Spatiotemporal Generative Model
Matthias Karlbauer
Tobias Menge
S. Otte
Hendrik P. A. Lensch
Thomas Scholten
V. Wulfmeyer
Martin Volker Butz
45
1
0
21 Sep 2020
Inferring, Predicting, and Denoising Causal Wave Dynamics
Inferring, Predicting, and Denoising Causal Wave Dynamics
Matthias Karlbauer
S. Otte
Hendrik P. A. Lensch
Thomas Scholten
V. Wulfmeyer
Martin Volker Butz
39
3
0
19 Sep 2020
Thermal and IR Drop Analysis Using Convolutional Encoder-Decoder
  Networks
Thermal and IR Drop Analysis Using Convolutional Encoder-Decoder Networks
V. A. Chhabria
V. Ahuja
Ashwath Prabhu
Nikhil Patil
Palkesh Jain
S. Sapatnekar
34
58
0
18 Sep 2020
Learning to Identify Physical Parameters from Video Using Differentiable
  Physics
Learning to Identify Physical Parameters from Video Using Differentiable Physics
Rama Krishna Kandukuri
Jan Achterhold
Michael Möller
J. Stückler
SSL
54
14
0
17 Sep 2020
Back to Event Basics: Self-Supervised Learning of Image Reconstruction
  for Event Cameras via Photometric Constancy
Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy
Federico Paredes-Valles
Guido de Croon
90
152
0
17 Sep 2020
Urban Traffic Flow Forecast Based on FastGCRNN
Urban Traffic Flow Forecast Based on FastGCRNN
Ya Zhang
Mingming Lu
Haifeng Li
GNNAI4TS
74
20
0
17 Sep 2020
Deep Learning in Photoacoustic Tomography: Current approaches and future
  directions
Deep Learning in Photoacoustic Tomography: Current approaches and future directions
A. Hauptmann
B. Cox
142
131
0
16 Sep 2020
A Convolutional LSTM based Residual Network for Deepfake Video Detection
A Convolutional LSTM based Residual Network for Deepfake Video Detection
Shahroz Tariq
Sangyup Lee
Simon S. Woo
107
78
0
16 Sep 2020
Video captioning with stacked attention and semantic hard pull
Video captioning with stacked attention and semantic hard pull
Md. Mushfiqur Rahman
Thasinul Abedin
Khondokar S. S. Prottoy
Ayana Moshruba
Fazlul Hasan Siddiqui
53
2
0
15 Sep 2020
Attention-SLAM: A Visual Monocular SLAM Learning from Human Gaze
Attention-SLAM: A Visual Monocular SLAM Learning from Human Gaze
Jinquan Li
Ling Pei
Danping Zou
Songpengcheng Xia
Qi Wu
Tao Li
Zhen Sun
Wenxian Yu
57
34
0
15 Sep 2020
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