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SCALOR: Generative World Models with Scalable Object Representations

SCALOR: Generative World Models with Scalable Object Representations

6 October 2019
Jindong Jiang
Sepehr Janghorbani
Gerard de Melo
Sungjin Ahn
    OCL
    DRL
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Papers citing "SCALOR: Generative World Models with Scalable Object Representations"

50 / 101 papers shown
Title
Object-Category Aware Reinforcement Learning
Object-Category Aware Reinforcement Learning
Qi Yi
Rui Zhang
Shaohui Peng
Jiaming Guo
Xingui Hu
Zidong Du
Xishan Zhang
Qi Guo
Yunji Chen
CML
LRM
18
6
0
13 Oct 2022
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric
  Models
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
Ziyi Wu
Nikita Dvornik
Klaus Greff
Thomas Kipf
Animesh Garg
OCL
BDL
59
90
0
12 Oct 2022
OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point
  Clouds
OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds
Ziyang Song
Bo Yang
3DPC
98
30
0
10 Oct 2022
Motion-inductive Self-supervised Object Discovery in Videos
Motion-inductive Self-supervised Object Discovery in Videos
Shuangrui Ding
Weidi Xie
Yabo Chen
Rui Qian
Xiaopeng Zhang
H. Xiong
Q. Tian
VOS
16
18
0
01 Oct 2022
Bridging the Gap to Real-World Object-Centric Learning
Bridging the Gap to Real-World Object-Centric Learning
Maximilian Seitzer
Max Horn
Andrii Zadaianchuk
Dominik Zietlow
Tianjun Xiao
...
Tong He
Zheng-Wei Zhang
Bernhard Schölkopf
Thomas Brox
Francesco Locatello
OCL
37
139
0
29 Sep 2022
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for
  Urban Driving LiDAR
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR
Sangyun Shin
Stuart Golodetz
M. Vankadari
Kaichen Zhou
Andrew Markham
Niki Trigoni
3DPC
59
3
0
21 Sep 2022
Compositional Law Parsing with Latent Random Functions
Compositional Law Parsing with Latent Random Functions
Fan Shi
Bin Li
Xiangyang Xue
CoGe
19
4
0
15 Sep 2022
Curious Exploration via Structured World Models Yields Zero-Shot Object
  Manipulation
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
Cansu Sancaktar
Sebastian Blaes
Georg Martius
LM&Ro
13
24
0
22 Jun 2022
SAVi++: Towards End-to-End Object-Centric Learning from Real-World
  Videos
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos
Gamaleldin F. Elsayed
Aravindh Mahendran
Sjoerd van Steenkiste
Klaus Greff
Michael C. Mozer
Thomas Kipf
VOS
OCL
47
137
0
15 Jun 2022
Patch-based Object-centric Transformers for Efficient Video Generation
Patch-based Object-centric Transformers for Efficient Video Generation
Wilson Yan
Ryogo Okumura
Stephen James
Pieter Abbeel
DiffM
ViT
23
6
0
08 Jun 2022
ObPose: Leveraging Pose for Object-Centric Scene Inference and
  Generation in 3D
ObPose: Leveraging Pose for Object-Centric Scene Inference and Generation in 3D
Yizhe Wu
Oiwi Parker Jones
Ingmar Posner
OCL
BDL
10
2
0
07 Jun 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic
  Videos
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos
Gautam Singh
Yi-Fu Wu
Sungjin Ahn
OCL
37
114
0
27 May 2022
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax
Bruno Sauvalle
A. de La Fortelle
3DPC
44
12
0
26 May 2022
Guess What Moves: Unsupervised Video and Image Segmentation by
  Anticipating Motion
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion
Subhabrata Choudhury
Laurynas Karazija
Iro Laina
Andrea Vedaldi
Christian Rupprecht
OCL
VOS
100
39
0
16 May 2022
Inductive Biases for Object-Centric Representations in the Presence of
  Complex Textures
Inductive Biases for Object-Centric Representations in the Presence of Complex Textures
Samuele Papa
Ole Winther
Andrea Dittadi
OCL
16
14
0
18 Apr 2022
Discovering Objects that Can Move
Discovering Objects that Can Move
Zhipeng Bao
P. Tokmakov
Allan Jabri
Yu-xiong Wang
Adrien Gaidon
M. Hebert
OCL
21
43
0
18 Mar 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic
  Programming
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
Eleonora Misino
G. Marra
Emanuele Sansone
16
21
0
07 Feb 2022
Autoencoder-based background reconstruction and foreground segmentation
  with background noise estimation
Autoencoder-based background reconstruction and foreground segmentation with background noise estimation
Bruno Sauvalle
A. de La Fortelle
13
11
0
15 Dec 2021
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
21
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
4
11
0
07 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
39
214
0
24 Nov 2021
Unsupervised Part Discovery from Contrastive Reconstruction
Unsupervised Part Discovery from Contrastive Reconstruction
Subhabrata Choudhury
Iro Laina
Christian Rupprecht
Andrea Vedaldi
OCL
SSL
172
62
0
11 Nov 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
25
53
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
132
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
28
23
0
13 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
M. Sznaier
Octavia Camps
21
2
0
01 Oct 2021
Self-supervised Reinforcement Learning with Independently Controllable
  Subgoals
Self-supervised Reinforcement Learning with Independently Controllable Subgoals
Andrii Zadaianchuk
Georg Martius
Fanny Yang
SSL
62
16
0
09 Sep 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
19
34
0
20 Jul 2021
Reasoning-Modulated Representations
Reasoning-Modulated Representations
Petar Velivcković
Matko Bovsnjak
Thomas Kipf
Alexander Lerchner
R. Hadsell
Razvan Pascanu
Charles Blundell
OCL
OOD
SSL
13
15
0
19 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
19
27
0
19 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
19
74
0
01 Jul 2021
Unsupervised Video Prediction from a Single Frame by Estimating 3D
  Dynamic Scene Structure
Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure
Paul Henderson
Christoph H. Lampert
Bernd Bickel
VGen
11
7
0
16 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
30
76
0
07 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
17
19
0
31 May 2021
MarioNette: Self-Supervised Sprite Learning
MarioNette: Self-Supervised Sprite Learning
Dmitriy Smirnov
Michael Gharbi
Matthew Fisher
Vitor Campagnolo Guizilini
Alexei A. Efros
Justin Solomon
SSL
OCL
68
37
0
29 Apr 2021
Opening up Open-World Tracking
Opening up Open-World Tracking
Yang Liu
Idil Esen Zulfikar
Jonathon Luiten
Achal Dave
Deva Ramanan
Bastian Leibe
Aljosa Osep
Laura Leal-Taixé
20
51
0
22 Apr 2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative
  Refinement
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
Martin Engelcke
Oiwi Parker Jones
Ingmar Posner
OCL
29
115
0
20 Apr 2021
Jointly Learning Truth-Conditional Denotations and Groundings using
  Parallel Attention
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention
Leon Bergen
Dzmitry Bahdanau
Timothy J. O'Donnell
FedML
6
1
0
14 Apr 2021
GATSBI: Generative Agent-centric Spatio-temporal Object Interaction
GATSBI: Generative Agent-centric Spatio-temporal Object Interaction
Cheol-Hui Min
Jinseok Bae
Junho Lee
Y. Kim
16
7
0
09 Apr 2021
Track, Check, Repeat: An EM Approach to Unsupervised Tracking
Track, Check, Repeat: An EM Approach to Unsupervised Tracking
Adam W. Harley
Yiming Zuo
Jing Wen
Ayush Mangal
Shubhankar Potdar
Ritwick Chaudhry
Katerina Fragkiadaki
17
9
0
07 Apr 2021
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
224
254
0
09 Dec 2020
Generative Neurosymbolic Machines
Generative Neurosymbolic Machines
Jindong Jiang
Sungjin Ahn
BDL
OCL
213
68
0
23 Oct 2020
Hierarchical Relational Inference
Hierarchical Relational Inference
Aleksandar Stanić
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
16
15
0
07 Oct 2020
Reconstruction Bottlenecks in Object-Centric Generative Models
Reconstruction Bottlenecks in Object-Centric Generative Models
Martin Engelcke
Oiwi Parker Jones
Ingmar Posner
OCL
35
24
0
13 Jul 2020
Unsupervised object-centric video generation and decomposition in 3D
Unsupervised object-centric video generation and decomposition in 3D
Paul Henderson
Christoph H. Lampert
OCL
14
36
0
07 Jul 2020
Object-Centric Learning with Slot Attention
Object-Centric Learning with Slot Attention
Francesco Locatello
Dirk Weissenborn
Thomas Unterthiner
Aravindh Mahendran
G. Heigold
Jakob Uszkoreit
Alexey Dosovitskiy
Thomas Kipf
OCL
26
817
0
26 Jun 2020
Unsupervised Video Decomposition using Spatio-temporal Iterative
  Inference
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference
Polina Zablotskaia
E. Dominici
Leonid Sigal
Andreas M. Lehrmann
OCL
19
19
0
25 Jun 2020
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
Eric Crawford
Joelle Pineau
34
66
0
20 Nov 2019
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction
  with Relational Reasoning
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning
F. Fuchs
Adam R. Kosiorek
Li Sun
Oiwi Parker Jones
Ingmar Posner
VOT
17
12
0
12 Jul 2019
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
190
5,173
0
16 Sep 2016
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