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2002.09219
Cited By
Stochastic Latent Residual Video Prediction
21 February 2020
Jean-Yves Franceschi
E. Delasalles
Mickaël Chen
Sylvain Lamprier
Patrick Gallinari
VGen
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Papers citing
"Stochastic Latent Residual Video Prediction"
23 / 73 papers shown
Title
Structured Inference Networks for Nonlinear State Space Models
Rahul G. Krishnan
Uri Shalit
David Sontag
BDL
56
452
0
30 Sep 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Tianfan Xue
Jiajun Wu
Katherine Bouman
Bill Freeman
56
415
0
09 Jul 2016
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders
Jacob Walker
Carl Doersch
Abhinav Gupta
M. Hebert
VGen
28
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
113
2,490
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
58
1,008
0
31 May 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
69
931
0
25 May 2016
Sequential Neural Models with Stochastic Layers
Marco Fraccaro
Søren Kaae Sønderby
Ulrich Paquet
Ole Winther
BDL
82
395
0
24 May 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
43
1,042
0
23 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
24
373
0
20 May 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.1K
192,638
0
10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
219
13,968
0
19 Nov 2015
Deep multi-scale video prediction beyond mean square error
Michaël Mathieu
Camille Couprie
Yann LeCun
GAN
97
1,881
0
17 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
440
7,952
0
13 Jun 2015
A Recurrent Latent Variable Model for Sequential Data
Junyoung Chung
Kyle Kastner
Laurent Dinh
Kratarth Goel
Aaron Courville
Yoshua Bengio
DRL
BDL
61
1,250
0
07 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
974
76,547
0
18 May 2015
Dense Optical Flow Prediction from a Static Image
Jacob Walker
Abhinav Gupta
M. Hebert
58
210
0
02 May 2015
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
110
2,586
0
16 Feb 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
556
149,474
0
22 Dec 2014
Video (language) modeling: a baseline for generative models of natural videos
MarcÁurelio Ranzato
Arthur Szlam
Joan Bruna
Michaël Mathieu
R. Collobert
S. Chopra
VGen
62
471
0
20 Dec 2014
Learning Stochastic Recurrent Networks
Justin Bayer
Christian Osendorfer
BDL
50
274
0
27 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
740
99,991
0
04 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
563
23,235
0
03 Jun 2014
Generating Sequences With Recurrent Neural Networks
Alex Graves
GAN
85
4,025
0
04 Aug 2013
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