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Learning to Generate Long-term Future via Hierarchical Prediction

Learning to Generate Long-term Future via Hierarchical Prediction

19 April 2017
Ruben Villegas
Jimei Yang
Yuliang Zou
Sungryull Sohn
Xunyu Lin
Honglak Lee
ArXivPDFHTML

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

34 / 84 papers shown
Title
Dynamic Facial Expression Generation on Hilbert Hypersphere with
  Conditional Wasserstein Generative Adversarial Nets
Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets
N. Otberdout
Mohamed Daoudi
Anis Kacem
Lahoucine Ballihi
Stefano Berretti
GAN
32
52
0
23 Jul 2019
Adversarial Video Generation on Complex Datasets
Adversarial Video Generation on Complex Datasets
Aidan Clark
Jeff Donahue
Karen Simonyan
VGen
GAN
27
74
0
15 Jul 2019
Unsupervised Learning of Object Structure and Dynamics from Videos
Unsupervised Learning of Object Structure and Dynamics from Videos
Matthias Minderer
Chen Sun
Ruben Villegas
Forrester Cole
Kevin Patrick Murphy
Honglak Lee
27
150
0
19 Jun 2019
Overcoming Limitations of Mixture Density Networks: A Sampling and
  Fitting Framework for Multimodal Future Prediction
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
Osama Makansi
Eddy Ilg
Özgün Çiçek
Thomas Brox
36
192
0
09 Jun 2019
Ensemble Distribution Distillation
Ensemble Distribution Distillation
A. Malinin
Bruno Mlodozeniec
Mark J. F. Gales
UQCV
27
230
0
30 Apr 2019
Long-Term Human Video Generation of Multiple Futures Using Poses
Long-Term Human Video Generation of Multiple Futures Using Poses
Naoya Fushishita
Antonio Tejero-de-Pablos
Yusuke Mukuta
Tatsuya Harada
14
9
0
16 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
10
1
0
04 Apr 2019
Inserting Videos into Videos
Inserting Videos into Videos
Donghoon Lee
Tomas Pfister
Ming-Hsuan Yang
GAN
34
20
0
15 Mar 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video
  Generation
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
25
131
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
16
34
0
23 Feb 2019
A Neurally-Inspired Hierarchical Prediction Network for Spatiotemporal Sequence Learning and Prediction
Jielin Qiu
Ge Huang
T. Lee
24
10
0
25 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
25
173
0
21 Jan 2019
Grounded Human-Object Interaction Hotspots from Video
Grounded Human-Object Interaction Hotspots from Video
Tushar Nagarajan
Christoph Feichtenhofer
Kristen Grauman
29
159
0
11 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
23
84
0
02 Dec 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
11
68
0
04 Oct 2018
Recurrent Flow-Guided Semantic Forecasting
Recurrent Flow-Guided Semantic Forecasting
Adam M. Terwilliger
Garrick Brazil
Xiaoming Liu
21
46
0
21 Sep 2018
Recycle-GAN: Unsupervised Video Retargeting
Recycle-GAN: Unsupervised Video Retargeting
Aayush Bansal
Shugao Ma
Deva Ramanan
Yaser Sheikh
VGen
DiffM
32
296
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
30
149
0
14 Aug 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
33
252
0
20 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
138
305
0
11 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
27
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
20
470
0
17 Apr 2018
Unsupervised Discovery of Object Landmarks as Structural Representations
Unsupervised Discovery of Object Landmarks as Structural Representations
Y. Zhang
Yijie Guo
Yixin Jin
Yijun Luo
Zhiyuan He
Honglak Lee
OCL
41
194
0
12 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
24
189
0
03 Apr 2018
Stochastic Video Generation with a Learned Prior
Stochastic Video Generation with a Learned Prior
Emily L. Denton
Rob Fergus
VGen
45
525
0
21 Feb 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
29
336
0
16 Jan 2018
Im2Flow: Motion Hallucination from Static Images for Action Recognition
Im2Flow: Motion Hallucination from Static Images for Action Recognition
Ruohan Gao
Bo Xiong
Kristen Grauman
33
92
0
12 Dec 2017
Hierarchical Video Generation from Orthogonal Information: Optical Flow
  and Texture
Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture
Katsunori Ohnishi
Shohei Yamamoto
Yoshitaka Ushiku
Tatsuya Harada
VGen
GAN
37
59
0
27 Nov 2017
Training Confidence-calibrated Classifiers for Detecting
  Out-of-Distribution Samples
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
70
872
0
26 Nov 2017
Deep Video Generation, Prediction and Completion of Human Action
  Sequences
Deep Video Generation, Prediction and Completion of Human Action Sequences
Haoye Cai
Chunyan Bai
Yu-Wing Tai
Chi-Keung Tang
VGen
29
143
0
23 Nov 2017
Predicting Scene Parsing and Motion Dynamics in the Future
Predicting Scene Parsing and Motion Dynamics in the Future
Xiaojie Jin
Huaxin Xiao
Xiaohui Shen
Jimei Yang
Zhe-nan Lin
Yunpeng Chen
Zequn Jie
Jiashi Feng
Shuicheng Yan
20
76
0
09 Nov 2017
Skeleton-aided Articulated Motion Generation
Skeleton-aided Articulated Motion Generation
Yichao Yan
Jingwei Xu
Bingbing Ni
Xiaokang Yang
3DH
35
87
0
04 Jul 2017
One-Step Time-Dependent Future Video Frame Prediction with a
  Convolutional Encoder-Decoder Neural Network
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network
Vedran Vukotic
S. Pintea
C. Raymond
G. Gravier
Jan van Gemert
26
46
0
14 Feb 2017
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,906
0
13 Jun 2015
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