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Multi-Object Representation Learning with Iterative Variational
  Inference

Multi-Object Representation Learning with Iterative Variational Inference

1 March 2019
Klaus Greff
Raphael Lopez Kaufman
Rishabh Kabra
Nicholas Watters
Christopher P. Burgess
Daniel Zoran
Loic Matthey
M. Botvinick
Alexander Lerchner
    OCL
    SSL
ArXivPDFHTML

Papers citing "Multi-Object Representation Learning with Iterative Variational Inference"

50 / 353 papers shown
Title
Disentangling Domain and Content
Disentangling Domain and Content
Dan-Andrei Iliescu
A. Mikhailiuk
Damon J. Wischik
Rafał K. Mantiuk
DRL
12
0
0
15 Feb 2022
Abstraction for Deep Reinforcement Learning
Abstraction for Deep Reinforcement Learning
Murray Shanahan
Melanie Mitchell
OffRL
35
28
0
10 Feb 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic
  Programming
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
Eleonora Misino
G. Marra
Emanuele Sansone
24
21
0
07 Feb 2022
Compositional Multi-Object Reinforcement Learning with Linear Relation
  Networks
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Davide Mambelli
Frederik Trauble
Stefan Bauer
Bernhard Schölkopf
Francesco Locatello
OCL
33
17
0
31 Jan 2022
Adversarial Masking for Self-Supervised Learning
Adversarial Masking for Self-Supervised Learning
Yuge Shi
N. Siddharth
Philip Torr
Adam R. Kosiorek
SSL
59
83
0
31 Jan 2022
Object Pursuit: Building a Space of Objects via Discriminative Weight
  Generation
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
Chuanyu Pan
Yanchao Yang
Kaichun Mo
Yueqi Duan
Leonidas J. Guibas
OCL
23
1
0
15 Dec 2021
Unsupervised Learning of Compositional Scene Representations from
  Multiple Unspecified Viewpoints
Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints
Jinyang Yuan
Bin Li
Xiangyang Xue
CoGe
OCL
17
11
0
07 Dec 2021
Interactive Disentanglement: Learning Concepts by Interacting with their
  Prototype Representations
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations
Wolfgang Stammer
Marius Memmel
P. Schramowski
Kristian Kersting
93
26
0
04 Dec 2021
SemanticStyleGAN: Learning Compositional Generative Priors for
  Controllable Image Synthesis and Editing
SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing
Yichun Shi
Xiao Yang
Yangyue Wan
Xiaohui Shen
GAN
151
83
0
04 Dec 2021
Conditional Object-Centric Learning from Video
Conditional Object-Centric Learning from Video
Thomas Kipf
Gamaleldin F. Elsayed
Aravindh Mahendran
Austin Stone
S. Sabour
G. Heigold
Rico Jonschkowski
Alexey Dosovitskiy
Klaus Greff
OCL
41
214
0
24 Nov 2021
Multiset-Equivariant Set Prediction with Approximate Implicit
  Differentiation
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
Yan Zhang
David W. Zhang
Simon Lacoste-Julien
Gertjan J. Burghouts
Cees G. M. Snoek
BDL
43
21
0
23 Nov 2021
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object
  Segmentation
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
Laurynas Karazija
Iro Laina
Christian Rupprecht
3DV
VOS
47
84
0
19 Nov 2021
Compositional Transformers for Scene Generation
Compositional Transformers for Scene Generation
Drew A. Hudson
C. L. Zitnick
ViT
34
34
0
17 Nov 2021
Learning Object-Centric Representations of Multi-Object Scenes from
  Multiple Views
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views
Nanbo Li
Cian Eastwood
Robert B. Fisher
OCL
27
53
0
13 Nov 2021
Unsupervised Part Discovery from Contrastive Reconstruction
Unsupervised Part Discovery from Contrastive Reconstruction
Subhabrata Choudhury
Iro Laina
Christian Rupprecht
Andrea Vedaldi
OCL
SSL
188
62
0
11 Nov 2021
Object-Centric Representation Learning with Generative Spatial-Temporal
  Factorization
Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
Nanbo Li
Muhammad Ahmed Raza
Wenbin Hu
Zhaole Sun
Robert B. Fisher
OCL
29
14
0
09 Nov 2021
Unsupervised Learning of Compositional Energy Concepts
Unsupervised Learning of Compositional Energy Concepts
Yilun Du
Shuang Li
Yash Sharma
J. Tenenbaum
Igor Mordatch
CoGe
OCL
30
76
0
04 Nov 2021
Polyline Generative Navigable Space Segmentation for Autonomous Visual
  Navigation
Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation
Zheng Chen
Zhengming Ding
David J. Crandall
Lantao Liu
20
3
0
29 Oct 2021
Unsupervised Foreground Extraction via Deep Region Competition
Unsupervised Foreground Extraction via Deep Region Competition
Peiyu Yu
Sirui Xie
Xiaojian Ma
Yixin Zhu
Ying Nian Wu
Song-Chun Zhu
OCL
34
42
0
29 Oct 2021
From Machine Learning to Robotics: Challenges and Opportunities for
  Embodied Intelligence
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
Nicholas Roy
Ingmar Posner
T. Barfoot
Philippe Beaudoin
Yoshua Bengio
...
S. Schaal
Gaurav Sukhatme
D. Thérien
Marc Toussaint
M. van de Panne
33
54
0
28 Oct 2021
Illiterate DALL-E Learns to Compose
Illiterate DALL-E Learns to Compose
Gautam Singh
Fei Deng
Sungjin Ahn
CoGe
OCL
27
133
0
17 Oct 2021
Unsupervised Object Learning via Common Fate
Unsupervised Object Learning via Common Fate
Matthias Tangemann
Steffen Schneider
Julius von Kügelgen
Francesco Locatello
Peter V. Gehler
Thomas Brox
Matthias Kümmerer
Matthias Bethge
Bernhard Schölkopf
OCL
36
23
0
13 Oct 2021
Recurrent Attention Models with Object-centric Capsule Representation
  for Multi-object Recognition
Recurrent Attention Models with Object-centric Capsule Representation for Multi-object Recognition
Hossein Adeli
Seoyoung Ahn
G. Zelinsky
OCL
23
3
0
11 Oct 2021
Boxhead: A Dataset for Learning Hierarchical Representations
Boxhead: A Dataset for Learning Hierarchical Representations
Yukun Chen
Andrea Dittadi
Frederik Trauble
Stefan Bauer
Bernhard Schölkopf
CML
99
2
0
07 Oct 2021
Unsupervised Image Decomposition with Phase-Correlation Networks
Unsupervised Image Decomposition with Phase-Correlation Networks
Angel Villar-Corrales
Sven Behnke
OCL
35
4
0
07 Oct 2021
SLASH: Embracing Probabilistic Circuits into Neural Answer Set
  Programming
SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming
Arseny Skryagin
Wolfgang Stammer
Daniel Ochs
Devendra Singh Dhami
Kristian Kersting
NAI
33
6
0
07 Oct 2021
Self-Supervised Decomposition, Disentanglement and Prediction of Video
  Sequences while Interpreting Dynamics: A Koopman Perspective
Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective
Armand Comas Massague
S. Ghimire
Haolin Li
Octavia Camps
Mario Sznaier
32
2
0
01 Oct 2021
Localizing Objects with Self-Supervised Transformers and no Labels
Localizing Objects with Self-Supervised Transformers and no Labels
Oriane Siméoni
Gilles Puy
Huy V. Vo
Simon Roburin
Spyros Gidaris
Andrei Bursuc
P. Pérez
Renaud Marlet
Jean Ponce
ViT
180
196
0
29 Sep 2021
Self-supervised Reinforcement Learning with Independently Controllable
  Subgoals
Self-supervised Reinforcement Learning with Independently Controllable Subgoals
Andrii Zadaianchuk
Georg Martius
Fanny Yang
SSL
69
16
0
09 Sep 2021
Capturing the objects of vision with neural networks
Capturing the objects of vision with neural networks
B. Peters
N. Kriegeskorte
OCL
33
56
0
07 Sep 2021
InSeGAN: A Generative Approach to Segmenting Identical Instances in
  Depth Images
InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images
A. Cherian
Goncalo Dias Pais
Siddarth Jain
Tim K. Marks
Alan Sullivan
GAN
29
1
0
31 Aug 2021
The Impact of Negative Sampling on Contrastive Structured World Models
The Impact of Negative Sampling on Contrastive Structured World Models
Ondrej Biza
Elise van der Pol
Thomas Kipf
DRL
OffRL
11
2
0
24 Jul 2021
Generative Video Transformer: Can Objects be the Words?
Generative Video Transformer: Can Objects be the Words?
Yi-Fu Wu
Jaesik Yoon
Sungjin Ahn
ViT
32
34
0
20 Jul 2021
Structured World Belief for Reinforcement Learning in POMDP
Structured World Belief for Reinforcement Learning in POMDP
Gautam Singh
Skand Peri
Junghyun Kim
Hyunseok Kim
Sungjin Ahn
OCL
27
27
0
19 Jul 2021
Unsupervised Discovery of Object Radiance Fields
Unsupervised Discovery of Object Radiance Fields
Hong-Xing Yu
Leonidas J. Guibas
Jiajun Wu
OCL
27
122
0
16 Jul 2021
Hybrid Memoised Wake-Sleep: Approximate Inference at the
  Discrete-Continuous Interface
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
T. Le
K. M. Collins
Luke B. Hewitt
Kevin Ellis
N. Siddharth
S. Gershman
J. Tenenbaum
122
5
0
04 Jul 2021
Generalization and Robustness Implications in Object-Centric Learning
Generalization and Robustness Implications in Object-Centric Learning
Andrea Dittadi
Samuele Papa
Michele De Vita
Bernhard Schölkopf
Ole Winther
Francesco Locatello
OCL
OOD
27
74
0
01 Jul 2021
Grounding Spatio-Temporal Language with Transformers
Grounding Spatio-Temporal Language with Transformers
Tristan Karch
Laetitia Teodorescu
Katja Hofmann
Clément Moulin-Frier
Pierre-Yves Oudeyer
LM&Ro
22
11
0
16 Jun 2021
PatchNet: Unsupervised Object Discovery based on Patch Embedding
PatchNet: Unsupervised Object Discovery based on Patch Embedding
H. Moon
Heng Hao
Sima Didari
J. Woo
P. Bangert
SSL
22
3
0
16 Jun 2021
Large-Scale Unsupervised Object Discovery
Large-Scale Unsupervised Object Discovery
Huy V. Vo
Elena Sizikova
Cordelia Schmid
P. Pérez
Jean Ponce
ObjD
26
54
0
12 Jun 2021
Group Equivariant Subsampling
Group Equivariant Subsampling
Jin Xu
Hyunjik Kim
Tom Rainforth
Yee Whye Teh
26
21
0
10 Jun 2021
Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene
  Decomposition
Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition
Tianyu Wang
Miaomiao Liu
K. S. Ng
3DPC
OCL
42
2
0
10 Jun 2021
Pretrained Encoders are All You Need
Pretrained Encoders are All You Need
Mina Khan
P. Srivatsa
Advait Rane
Shriram Chenniappa
Rishabh Anand
Sherjil Ozair
Pattie Maes
SSL
VLM
25
6
0
09 Jun 2021
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via
  Unsupervised Video Decomposition
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
Rishabh Kabra
Daniel Zoran
Goker Erdogan
Loic Matthey
Antonia Creswell
M. Botvinick
Alexander Lerchner
Christopher P. Burgess
OCL
52
77
0
07 Jun 2021
Efficient Iterative Amortized Inference for Learning Symmetric and
  Disentangled Multi-Object Representations
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations
Patrick Emami
Pan He
Sanjay Ranka
Anand Rangarajan
OCL
13
44
0
07 Jun 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$
  Regularization
Local Disentanglement in Variational Auto-Encoders Using Jacobian L1L_1L1​ Regularization
Travers Rhodes
Daniel D. Lee
DRL
19
15
0
05 Jun 2021
GMAIR: Unsupervised Object Detection Based on Spatial Attention and
  Gaussian Mixture
GMAIR: Unsupervised Object Detection Based on Spatial Attention and Gaussian Mixture
Weijin Zhu
Yao Shen
Linfeng Yu
Lizeth Patricia Aguirre Sanchez
33
3
0
03 Jun 2021
APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for
  Robot Manipulation
APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation
Yizhe Wu
Oiwi Parker Jones
Martin Engelcke
Ingmar Posner
3DPC
25
20
0
31 May 2021
Unsupervised Layered Image Decomposition into Object Prototypes
Unsupervised Layered Image Decomposition into Object Prototypes
Tom Monnier
Elliot Vincent
Jean Ponce
Mathieu Aubry
OCL
16
53
0
29 Apr 2021
Learning to Better Segment Objects from Unseen Classes with Unlabeled
  Videos
Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos
Yuming Du
Yanghua Xiao
Vincent Lepetit
33
8
0
25 Apr 2021
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