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Wildfire Forecasting with Satellite Images and Deep Generative Model

19 August 2022

Papers citing "Wildfire Forecasting with Satellite Images and Deep Generative Model"

47 / 47 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,150 0 01 Mar 2022
Active Fire Detection in Landsat-8 Imagery: a Large-Scale Dataset and a Deep-Learning Study G. Pereira A. M. Fusioka B. Nassu Rodrigo Minetto 35 115 0 09 Jan 2021
Future Video Synthesis with Object Motion Prediction Yue Wu Rongrong Gao Jaesik Park Qifeng Chen 55 90 0 01 Apr 2020
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction Beibei Jin Yu Hu Qiankun Tang Jingyu Niu Zhiping Shi Yinhe Han Xiaowei Li 49 96 0 23 Feb 2020
Stochastic Latent Residual Video Prediction Jean-Yves Franceschi E. Delasalles Mickaël Chen Sylvain Lamprier Patrick Gallinari VGen 68 160 0 21 Feb 2020
Latent ODEs for Irregularly-Sampled Time Series Yulia Rubanova Ricky T. Q. Chen David Duvenaud BDL AI4TS 86 259 0 08 Jul 2019
Unsupervised Learning of Object Structure and Dynamics from Videos Matthias Minderer Chen Sun Ruben Villegas Forrester Cole Kevin Patrick Murphy Honglak Lee 85 150 0 19 Jun 2019
Scaling Autoregressive Video Models Dirk Weissenborn Oscar Täckström Jakob Uszkoreit DiffM VGen 94 204 0 06 Jun 2019
Optimal Unsupervised Domain Translation Emmanuel de Bézenac Ibrahim Ayed Patrick Gallinari OT 37 19 0 04 Jun 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series E. Brouwer Jaak Simm Adam Arany Yves Moreau SyDa CML AI4TS 96 301 0 29 May 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation Manoj Kumar Mohammad Babaeizadeh D. Erhan Chelsea Finn Sergey Levine Laurent Dinh Durk Kingma VGen 84 132 0 04 Mar 2019
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 92 1,448 0 12 Nov 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 146 624 0 02 Nov 2018
Video-to-Video Synthesis Ting-Chun Wang Ming-Yuan Liu Jun-Yan Zhu Guilin Liu Andrew Tao Jan Kautz Bryan Catanzaro GAN VGen 118 992 0 20 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 303 3,144 0 09 Jul 2018
Hierarchical Long-term Video Prediction without Supervision Nevan Wichers Ruben Villegas D. Erhan Honglak Lee VGen 75 134 0 12 Jun 2018
Temporal Difference Variational Auto-Encoder Karol Gregor George Papamakarios F. Besse Lars Buesing Theophane Weber DRL 66 127 0 08 Jun 2018
Stochastic Adversarial Video Prediction Alex X. Lee Richard Y. Zhang F. Ebert Pieter Abbeel Chelsea Finn Sergey Levine DRL VGen GAN 74 453 0 04 Apr 2018
Probabilistic Video Generation using Holistic Attribute Control Jiawei He Andreas M. Lehrmann Joseph Marino Greg Mori Leonid Sigal VGen DiffM DRL 58 77 0 21 Mar 2018
Disentangled Sequential Autoencoder Yingzhen Li Stephan Mandt CoGe 71 271 0 08 Mar 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 98 526 0 21 Feb 2018
Black-box Variational Inference for Stochastic Differential Equations Tom Ryder Andrew Golightly A. Mcgough D. Prangle 73 58 0 09 Feb 2018
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation Huaizu Jiang Deqing Sun Varun Jampani Ming-Hsuan Yang Erik Learned-Miller Jan Kautz 122 788 0 30 Nov 2017
Stochastic Variational Video Prediction Mohammad Babaeizadeh Chelsea Finn D. Erhan R. Campbell Sergey Levine DRL VGen 87 543 0 30 Oct 2017
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations Yiping Lu Aoxiao Zhong Quanzheng Li Bin Dong 210 505 0 27 Oct 2017
PDE-Net: Learning PDEs from Data Zichao Long Yiping Lu Xianzhong Ma Bin Dong DiffM AI4CE 57 759 0 26 Oct 2017
MoCoGAN: Decomposing Motion and Content for Video Generation Sergey Tulyakov Ming-Yuan Liu Xiaodong Yang Jan Kautz GAN 144 1,150 0 17 Jul 2017
Decomposing Motion and Content for Natural Video Sequence Prediction Ruben Villegas Jimei Yang Seunghoon Hong Xunyu Lin Honglak Lee 80 598 0 25 Jun 2017
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 189 1,615 0 05 Jun 2017
Unsupervised Learning of Disentangled Representations from Video Emily L. Denton Vighnesh Birodkar DRL CoGe OOD 88 553 0 31 May 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 427 2,480 0 10 Mar 2017
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation Jose Caballero C. Ledig Andrew P. Aitken Alejandro Acosta J. Totz Zehan Wang Wenzhe Shi SupR 94 665 0 16 Nov 2016
Video Pixel Networks Nal Kalchbrenner Aaron van den Oord Karen Simonyan Ivo Danihelka Oriol Vinyals Alex Graves Koray Kavukcuoglu 85 426 0 03 Oct 2016
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 93 459 0 30 Sep 2016
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders Jacob Walker Carl Doersch Abhinav Gupta M. Hebert VGen 40 513 0 25 Jun 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 214 2,519 0 16 Jun 2016
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 96 58 0 31 May 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 121 398 0 24 May 2016
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data Maximilian Karl Maximilian Sölch Justin Bayer Patrick van der Smagt BDL 55 375 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 568 8,007 0 13 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,441 0 18 May 2015
Dense Optical Flow Prediction from a Static Image Jacob Walker Abhinav Gupta M. Hebert 91 210 0 02 May 2015
Unsupervised Learning of Video Representations using LSTMs Nitish Srivastava Elman Mansimov Ruslan Salakhutdinov SSL 148 2,593 0 16 Feb 2015
Learning Stochastic Recurrent Networks Justin Bayer Christian Osendorfer BDL 81 274 0 27 Nov 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,922 0 20 Dec 2013
Generating Sequences With Recurrent Neural Networks Alex Graves GAN 169 4,039 0 04 Aug 2013