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Learning to Generate Long-term Future via Hierarchical Prediction
v1v2v3v4v5 (latest)

Learning to Generate Long-term Future via Hierarchical Prediction

19 April 2017
Ruben Villegas
Jimei Yang
Yuliang Zou
Sungryull Sohn
Xunyu Lin
Honglak Lee
ArXiv (abs)PDFHTML

Papers citing "Learning to Generate Long-term Future via Hierarchical Prediction"

50 / 211 papers shown
Title
A Variational Auto-Encoder Model for Stochastic Point Processes
A Variational Auto-Encoder Model for Stochastic Point Processes
Nazanin Mehrasa
Akash Abdu Jyothi
Thibaut Durand
Jiawei He
Leonid Sigal
Greg Mori
DRL
147
60
0
05 Apr 2019
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks
K. Ellefsen
J. Tørresen
134
1
0
04 Apr 2019
Inserting Videos into Videos
Inserting Videos into Videos
Donghoon Lee
Tomas Pfister
Ming-Hsuan Yang
GAN
116
22
0
15 Mar 2019
Learning Regularity in Skeleton Trajectories for Anomaly Detection in
  Videos
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
Romero Morais
Vuong Le
T. Tran
Budhaditya Saha
M. Mansour
Svetha Venkatesh
306
295
0
08 Mar 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video
  Generation
VideoFlow: A Conditional Flow-Based Model for Stochastic Video GenerationInternational Conference on Learning Representations (ICLR), 2019
Manoj Kumar
Mohammad Babaeizadeh
D. Erhan
Chelsea Finn
Sergey Levine
Laurent Dinh
Durk Kingma
VGen
190
137
0
04 Mar 2019
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by
  Learning 4D Longitudinal Patient Data
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data
Ling Zhang
Le Lu
Xiaosong Wang
Robert Zhu
M. Bagheri
Ronald M. Summers
Jianhua Yao
117
34
0
23 Feb 2019
A Neurally-Inspired Hierarchical Prediction Network for Spatiotemporal Sequence Learning and Prediction
Jielin Qiu
Ge Huang
T. Lee
264
10
0
25 Jan 2019
How do Mixture Density RNNs Predict the Future?
How do Mixture Density RNNs Predict the Future?
K. Ellefsen
Charles Patrick Martin
J. Tørresen
105
13
0
23 Jan 2019
Modeling Human Motion with Quaternion-based Neural Networks
Modeling Human Motion with Quaternion-based Neural Networks
Dario Pavllo
Christoph Feichtenhofer
Michael Auli
David Grangier
3DH
140
185
0
21 Jan 2019
Better Guider Predicts Future Better: Difference Guided Generative
  Adversarial Networks
Better Guider Predicts Future Better: Difference Guided Generative Adversarial Networks
Guohao Ying
Yingtian Zou
Lin Wan
Yiming Hu
Jiashi Feng
AI4TS
97
11
0
07 Jan 2019
Motion Selective Prediction for Video Frame Synthesis
Motion Selective Prediction for Video Frame Synthesis
V. Prinet
69
1
0
25 Dec 2018
Animating Arbitrary Objects via Deep Motion Transfer
Animating Arbitrary Objects via Deep Motion Transfer
Aliaksandr Siarohin
Stéphane Lathuilière
Sergey Tulyakov
Elisa Ricci
Andrii Zadaianchuk
231
373
0
20 Dec 2018
Grounded Human-Object Interaction Hotspots from Video
Grounded Human-Object Interaction Hotspots from Video
Tushar Nagarajan
Christoph Feichtenhofer
Kristen Grauman
262
182
0
11 Dec 2018
Prior Networks for Detection of Adversarial Attacks
Prior Networks for Detection of Adversarial Attacks
A. Malinin
Mark Gales
AAML
152
5
0
06 Dec 2018
Disentangling Propagation and Generation for Video Prediction
Disentangling Propagation and Generation for Video Prediction
Hang Gao
Huazhe Xu
Qi-Zhi Cai
Ruth Wang
Feng Yu
Trevor Darrell
249
90
0
02 Dec 2018
Future-State Predicting LSTM for Early Surgery Type Recognition
Future-State Predicting LSTM for Early Surgery Type Recognition
Siddharth Kannan
Gaurav Yengera
Didier Mutter
J. Marescaux
N. Padoy
164
35
0
28 Nov 2018
Deep Learned Frame Prediction for Video Compression
Deep Learned Frame Prediction for Video Compression
Serkan Sulun
74
5
0
27 Nov 2018
Learning Latent Dynamics for Planning from Pixels
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
BDL
635
1,631
0
12 Nov 2018
Deep Photovoltaic Nowcasting
Deep Photovoltaic Nowcasting
Jinsong Zhang
Rodrigo Verschae
S. Nobuhara
Jean-François Lalonde
119
180
0
15 Oct 2018
Towards High Resolution Video Generation with Progressive Growing of
  Sliced Wasserstein GANs
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs
Dinesh Acharya
Zhiwu Huang
D. Paudel
Luc Van Gool
GAN
174
73
0
04 Oct 2018
FutureGAN: Anticipating the Future Frames of Video Sequences using
  Spatio-Temporal 3d Convolutions in Progressively Growing GANs
FutureGAN: Anticipating the Future Frames of Video Sequences using Spatio-Temporal 3d Convolutions in Progressively Growing GANs
Sandra Aigner
Marco Korner
AI4TS
165
77
0
02 Oct 2018
Recurrent Flow-Guided Semantic Forecasting
Recurrent Flow-Guided Semantic Forecasting
Adam M. Terwilliger
Garrick Brazil
Xiaoming Liu
163
47
0
21 Sep 2018
Everybody Dance Now
Everybody Dance Now
Caroline Chan
Shiry Ginosar
Tinghui Zhou
Alexei A. Efros
310
815
0
22 Aug 2018
Recycle-GAN: Unsupervised Video Retargeting
Recycle-GAN: Unsupervised Video Retargeting
Aayush Bansal
Shugao Ma
Deva Ramanan
Yaser Sheikh
VGenDiffM
209
310
0
15 Aug 2018
MT-VAE: Learning Motion Transformations to Generate Multimodal Human
  Dynamics
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics
Xinchen Yan
Akash Rastogi
Ruben Villegas
Kalyan Sunkavalli
Eli Shechtman
Sunil Hadap
Ersin Yumer
Honglak Lee
138
163
0
14 Aug 2018
Controllable Image-to-Video Translation: A Case Study on Facial
  Expression Generation
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation
Lijie Fan
Wen-bing Huang
Chuang Gan
Junzhou Huang
Boqing Gong
CVBM
123
36
0
09 Aug 2018
Learning to Forecast and Refine Residual Motion for Image-to-Video
  Generation
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation
Long Zhao
Xi Peng
Yu Tian
Mubbasir Kapadia
Dimitris N. Metaxas
DiffMVGen
140
103
0
26 Jul 2018
Flow-Grounded Spatial-Temporal Video Prediction from Still Images
Flow-Grounded Spatial-Temporal Video Prediction from Still Images
Yijun Li
Chen Fang
Jimei Yang
Zhaowen Wang
Xin Lu
Ming-Hsuan Yang
3DH
259
141
0
25 Jul 2018
Future Semantic Segmentation with Convolutional LSTM
Future Semantic Segmentation with Convolutional LSTMBritish Machine Vision Conference (BMVC), 2018
Seyed shahabeddin Nabavi
Mrigank Rochan
Yang
Yang Wang
112
67
0
20 Jul 2018
Video Time: Properties, Encoders and Evaluation
Video Time: Properties, Encoders and EvaluationBritish Machine Vision Conference (BMVC), 2018
Amir Ghodrati
E. Gavves
Cees G. M. Snoek
201
28
0
18 Jul 2018
Video Prediction with Appearance and Motion Conditions
Video Prediction with Appearance and Motion ConditionsInternational Conference on Machine Learning (ICML), 2018
Y. Jang
Gunhee Kim
Yale Song
VGen
146
45
0
07 Jul 2018
Anytime Neural Prediction via Slicing Networks Vertically
Anytime Neural Prediction via Slicing Networks Vertically
Hankook Lee
Jinwoo Shin
AI4CE
119
16
0
07 Jul 2018
Unsupervised Learning of Object Landmarks through Conditional Image
  Generation
Unsupervised Learning of Object Landmarks through Conditional Image Generation
Tomas Jakab
Ankush Gupta
Hakan Bilen
Andrea Vedaldi
SSL
297
266
0
20 Jun 2018
Hierarchical Long-term Video Prediction without Supervision
Hierarchical Long-term Video Prediction without Supervision
Nevan Wichers
Ruben Villegas
D. Erhan
Honglak Lee
VGen
215
137
0
12 Jun 2018
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
342
315
0
11 Jun 2018
Towards Binary-Valued Gates for Robust LSTM Training
Towards Binary-Valued Gates for Robust LSTM Training
Zhuohan Li
Di He
Fei Tian
Wei-neng Chen
Tao Qin
Liwei Wang
Tie-Yan Liu
MQ
131
49
0
08 Jun 2018
A neural network trained to predict future video frames mimics critical
  properties of biological neuronal responses and perception
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception
William Lotter
Gabriel Kreiman
David D. Cox
178
31
0
28 May 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
308
545
0
17 Apr 2018
Unsupervised Discovery of Object Landmarks as Structural Representations
Unsupervised Discovery of Object Landmarks as Structural Representations
Xicheng Zhang
Yijie Guo
Yixin Jin
Yijun Luo
Zhiyuan He
Honglak Lee
OCL
240
206
0
12 Apr 2018
Imagine This! Scripts to Compositions to Videos
Imagine This! Scripts to Compositions to Videos
Tanmay Gupta
Dustin Schwenk
Ali Farhadi
Derek Hoiem
Aniruddha Kembhavi
CoGeVGen
202
97
0
10 Apr 2018
When will you do what? - Anticipating Temporal Occurrences of Activities
When will you do what? - Anticipating Temporal Occurrences of Activities
Yazan Abu Farha
Alexander Richard
Juergen Gall
191
202
0
03 Apr 2018
Predicting Future Instance Segmentation by Forecasting Convolutional
  Features
Predicting Future Instance Segmentation by Forecasting Convolutional Features
Pauline Luc
Camille Couprie
Yann LeCun
Jakob Verbeek
189
98
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
125
2
0
26 Mar 2018
3D Human Pose Estimation in the Wild by Adversarial Learning
3D Human Pose Estimation in the Wild by Adversarial Learning
Wei Yang
Wanli Ouyang
Xinyu Wang
Jimmy S. J. Ren
Jiaming Song
Xiaogang Wang
3DH
269
386
0
26 Mar 2018
Predictive Uncertainty Estimation via Prior Networks
Predictive Uncertainty Estimation via Prior NetworksNeural Information Processing Systems (NeurIPS), 2018
A. Malinin
Mark Gales
UDBDLEDLUQCVPER
469
1,027
0
28 Feb 2018
Stochastic Video Generation with a Learned Prior
Stochastic Video Generation with a Learned Prior
Emily L. Denton
Rob Fergus
VGen
278
553
0
21 Feb 2018
Every Smile is Unique: Landmark-Guided Diverse Smile Generation
Every Smile is Unique: Landmark-Guided Diverse Smile Generation
Wei Wang
Xavier Alameda-Pineda
Dan Xu
Pascal Fua
Elisa Ricci
Andrii Zadaianchuk
CVBM
262
70
0
06 Feb 2018
Image2GIF: Generating Cinemagraphs using Recurrent Deep Q-Networks
Image2GIF: Generating Cinemagraphs using Recurrent Deep Q-Networks
Yipin Zhou
Yale Song
Tamara L. Berg
GAN
107
8
0
27 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
273
350
0
16 Jan 2018
Taking Visual Motion Prediction To New Heightfields
Taking Visual Motion Prediction To New HeightfieldsComputer Vision and Image Understanding (CVIU), 2017
Sébastien Ehrhardt
Áron Monszpart
Niloy Mitra
Andrea Vedaldi
112
23
0
22 Dec 2017
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