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Video (language) modeling: a baseline for generative models of natural
  videos

Video (language) modeling: a baseline for generative models of natural videos

20 December 2014
MarcÁurelio Ranzato
Arthur Szlam
Joan Bruna
Michaël Mathieu
R. Collobert
S. Chopra
    VGen
ArXivPDFHTML

Papers citing "Video (language) modeling: a baseline for generative models of natural videos"

27 / 127 papers shown
Title
Video Pixel Networks
Video Pixel Networks
Nal Kalchbrenner
Aaron van den Oord
Karen Simonyan
Ivo Danihelka
Oriol Vinyals
Alex Graves
Koray Kavukcuoglu
26
422
0
03 Oct 2016
Geometry-Based Next Frame Prediction from Monocular Video
Geometry-Based Next Frame Prediction from Monocular Video
R. Mahjourian
Martin Wicke
A. Angelova
MDE
19
41
0
20 Sep 2016
Generating Videos with Scene Dynamics
Generating Videos with Scene Dynamics
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
GAN
VGen
100
1,462
0
08 Sep 2016
Learning Temporal Transformations From Time-Lapse Videos
Learning Temporal Transformations From Time-Lapse Videos
Yipin Zhou
Tamara L. Berg
30
148
0
27 Aug 2016
Unsupervised Learning from Continuous Video in a Scalable Predictive
  Recurrent Network
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network
Filip Piekniewski
Patryk A. Laurent
Csaba Petre
Micah Richert
Dimitry Fisher
Todd Hylton
20
17
0
22 Jul 2016
An Uncertain Future: Forecasting from Static Images using Variational
  Autoencoders
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders
Jacob Walker
Carl Doersch
Abhinav Gupta
M. Hebert
VGen
15
512
0
25 Jun 2016
Deep Recurrent Convolutional Networks for Video-based Person
  Re-identification: An End-to-End Approach
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach
Lin Wu
Chunhua Shen
Anton Van Den Hengel
35
66
0
06 Jun 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
52
927
0
25 May 2016
Spatio-Temporal Image Boundary Extrapolation
Spatio-Temporal Image Boundary Extrapolation
Apratim Bhattacharyya
Mateusz Malinowski
Mario Fritz
23
2
0
24 May 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
28
1,039
0
23 May 2016
Going Deeper into Action Recognition: A Survey
Going Deeper into Action Recognition: A Survey
Samitha Herath
Mehrtash Harandi
Fatih Porikli
36
610
0
16 May 2016
Look-ahead before you leap: end-to-end active recognition by forecasting
  the effect of motion
Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion
Dinesh Jayaraman
Kristen Grauman
17
91
0
30 Apr 2016
Learning Temporal Regularity in Video Sequences
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan
Jonghyun Choi
J. Neumann
Amit K. Roy-Chowdhury
L. Davis
50
1,089
0
15 Apr 2016
"What happens if..." Learning to Predict the Effect of Forces in Images
"What happens if..." Learning to Predict the Effect of Forces in Images
Roozbeh Mottaghi
Mohammad Rastegari
Abhinav Gupta
Ali Farhadi
OOD
31
123
0
17 Mar 2016
Unsupervised Learning of Visual Structure using Predictive Generative
  Networks
Unsupervised Learning of Visual Structure using Predictive Generative Networks
William Lotter
Gabriel Kreiman
David D. Cox
GAN
SSL
DRL
22
132
0
19 Nov 2015
Deep multi-scale video prediction beyond mean square error
Deep multi-scale video prediction beyond mean square error
Michaël Mathieu
Camille Couprie
Yann LeCun
GAN
71
1,877
0
17 Nov 2015
Unsupervised Learning of Edges
Unsupervised Learning of Edges
Yin Li
Manohar Paluri
James M. Rehg
Piotr Dollár
SSL
21
91
0
13 Nov 2015
Recurrent Network Models for Human Dynamics
Recurrent Network Models for Human Dynamics
Katerina Fragkiadaki
Sergey Levine
Panna Felsen
Jitendra Malik
28
30
0
02 Aug 2015
Slow and steady feature analysis: higher order temporal coherence in
  video
Slow and steady feature analysis: higher order temporal coherence in video
Dinesh Jayaraman
Kristen Grauman
26
143
0
15 Jun 2015
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
239
7,916
0
13 Jun 2015
Learning to Linearize Under Uncertainty
Learning to Linearize Under Uncertainty
Ross Goroshin
Michaël Mathieu
Yann LeCun
GAN
OOD
23
141
0
09 Jun 2015
Learning image representations tied to ego-motion
Learning image representations tied to ego-motion
Dinesh Jayaraman
Kristen Grauman
SSL
31
245
0
08 May 2015
Learning to See by Moving
Learning to See by Moving
Pulkit Agrawal
João Carreira
Jitendra Malik
SSL
34
552
0
07 May 2015
Learning Temporal Embeddings for Complex Video Analysis
Learning Temporal Embeddings for Complex Video Analysis
Vignesh Ramanathan
K. Tang
Greg Mori
Li Fei-Fei
34
71
0
02 May 2015
Dense Optical Flow Prediction from a Static Image
Dense Optical Flow Prediction from a Static Image
Jacob Walker
Abhinav Gupta
M. Hebert
40
210
0
02 May 2015
Anticipating Visual Representations from Unlabeled Video
Anticipating Visual Representations from Unlabeled Video
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
24
145
0
29 Apr 2015
Describing Videos by Exploiting Temporal Structure
Describing Videos by Exploiting Temporal Structure
L. Yao
Atousa Torabi
Kyunghyun Cho
Nicolas Ballas
C. Pal
Hugo Larochelle
Aaron Courville
61
1,062
0
27 Feb 2015
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