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$β$-Multivariational Autoencoder for Entangled Representation
  Learning in Video Frames

βββ-Multivariational Autoencoder for Entangled Representation Learning in Video Frames

22 November 2022
F. Nouri
R. Bergevin
ArXivPDFHTML

Papers citing "$β$-Multivariational Autoencoder for Entangled Representation Learning in Video Frames"

16 / 16 papers shown
Title
Reinforcement learning
Reinforcement learning
Florentin Wörgötter
82
2,537
0
16 May 2024
Variational AutoEncoder for Reference based Image Super-Resolution
Variational AutoEncoder for Reference based Image Super-Resolution
Zhi-Song Liu
W. Siu
Li-Wen Wang
SupR
55
42
0
08 Jun 2021
Visual Tracking by means of Deep Reinforcement Learning and an Expert
  Demonstrator
Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator
Matteo Dunnhofer
N. Martinel
G. Foresti
C. Micheloni
OffRL
47
31
0
18 Sep 2019
When to Trust Your Model: Model-Based Policy Optimization
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner
Justin Fu
Marvin Zhang
Sergey Levine
OffRL
95
951
0
19 Jun 2019
DIVA: Domain Invariant Variational Autoencoders
DIVA: Domain Invariant Variational Autoencoders
Maximilian Ilse
Jakub M. Tomczak
Christos Louizos
Max Welling
DRL
OOD
65
201
0
24 May 2019
A Simple Pooling-Based Design for Real-Time Salient Object Detection
A Simple Pooling-Based Design for Real-Time Salient Object Detection
Jiangjiang Liu
Qibin Hou
Ming-Ming Cheng
Jiashi Feng
Jianmin Jiang
ObjD
82
863
0
21 Apr 2019
Unsupervised Moving Object Detection via Contextual Information
  Separation
Unsupervised Moving Object Detection via Contextual Information Separation
Yanchao Yang
Antonio Loquercio
Davide Scaramuzza
Stefano Soatto
GAN
58
127
0
10 Jan 2019
Learning Policies for Adaptive Tracking with Deep Feature Cascades
Learning Policies for Adaptive Tracking with Deep Feature Cascades
Chen Huang
Simon Lucey
Deva Ramanan
62
223
0
09 Aug 2017
Improving Variational Auto-Encoders using Householder Flow
Improving Variational Auto-Encoders using Householder Flow
Jakub M. Tomczak
Max Welling
BDL
DRL
68
175
0
29 Nov 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
263
3,696
0
26 May 2016
Variational Inference: A Review for Statisticians
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
264
4,787
0
04 Jan 2016
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object
  Detection
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
Xi Li
Liming Zhao
Lina Wei
Ming-Hsuan Yang
Leilei Gan
Yueting Zhuang
Haibin Ling
Jingdong Wang
60
497
0
19 Oct 2015
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural Networks
L. Smith
ODL
197
2,525
0
03 Jun 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
450
16,940
0
20 Dec 2013
Deep AutoRegressive Networks
Deep AutoRegressive Networks
Karol Gregor
Ivo Danihelka
A. Mnih
Charles Blundell
Daan Wierstra
AI4TS
BDL
91
282
0
31 Oct 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
256
12,435
0
24 Jun 2012
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