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1704.05831
Cited By
Learning to Generate Long-term Future via Hierarchical Prediction
19 April 2017
Ruben Villegas
Jimei Yang
Yuliang Zou
Sungryull Sohn
Xunyu Lin
Honglak Lee
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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
N. Otberdout
Mohamed Daoudi
Anis Kacem
Lahoucine Ballihi
Stefano Berretti
GAN
32
52
0
23 Jul 2019
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
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
Osama Makansi
Eddy Ilg
Özgün Çiçek
Thomas Brox
36
192
0
09 Jun 2019
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
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
K. Ellefsen
J. Tørresen
10
1
0
04 Apr 2019
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
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
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
Dario Pavllo
Christoph Feichtenhofer
Michael Auli
David Grangier
3DH
25
173
0
21 Jan 2019
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
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
Dinesh Acharya
Zhiwu Huang
D. Paudel
Luc Van Gool
GAN
11
68
0
04 Oct 2018
Recurrent Flow-Guided Semantic Forecasting
Adam M. Terwilliger
Garrick Brazil
Xiaoming Liu
21
46
0
21 Sep 2018
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
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
Tomas Jakab
Ankush Gupta
Hakan Bilen
Andrea Vedaldi
SSL
33
252
0
20 Jun 2018
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
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
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
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
Yazan Abu Farha
Alexander Richard
Juergen Gall
24
189
0
03 Apr 2018
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
Seunghoon Hong
Dingdong Yang
Jongwook Choi
Honglak Lee
EGVM
29
336
0
16 Jan 2018
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
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
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
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
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
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
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
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,906
0
13 Jun 2015
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