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Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects

5 June 2018
Adam R. Kosiorek
Hyunjik Kim
Ingmar Posner
Yee Whye Teh
    BDL
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Papers citing "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects"

50 / 52 papers shown
Title
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Amir Mohammad Karimi Mamaghan
Samuele Papa
Karl Henrik Johansson
Stefan Bauer
Andrea Dittadi
OCL
44
5
0
22 Jul 2024
Recurrent Complex-Weighted Autoencoders for Unsupervised Object
  Discovery
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery
Anand Gopalakrishnan
Aleksandar Stanić
Jürgen Schmidhuber
M. C. Mozer
45
5
0
27 May 2024
Reasoning-Enhanced Object-Centric Learning for Videos
Reasoning-Enhanced Object-Centric Learning for Videos
Jian Li
Pu Ren
Yang Liu
Hao-Lun Sun
OCL
LRM
46
2
0
22 Mar 2024
Unsupervised Discovery of Object-Centric Neural Fields
Unsupervised Discovery of Object-Centric Neural Fields
Rundong Luo
Hong-Xing Yu
Jiajun Wu
3DPC
OCL
90
3
0
12 Feb 2024
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention
  and Object-wise Sequential VAE
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE
Haonan Yu
Wei Xu
ViT
28
1
0
20 Jan 2024
Explicitly Disentangled Representations in Object-Centric Learning
Explicitly Disentangled Representations in Object-Centric Learning
Riccardo Majellaro
Jonathan Collu
Aske Plaat
Thomas M. Moerland
CoGe
OOD
OCL
63
1
0
18 Jan 2024
Unsupervised Object-Centric Learning from Multiple Unspecified
  Viewpoints
Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints
Jinyang Yuan
Tonglin Chen
Zhimeng Shen
Bin Li
Xiangyang Xue
OCL
28
2
0
03 Jan 2024
Active Sensing with Predictive Coding and Uncertainty Minimization
Active Sensing with Predictive Coding and Uncertainty Minimization
A. Sharafeldin
N. Imam
Hannah Choi
20
2
0
02 Jul 2023
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
Ziyi Wu
Jingyu Hu
Wuyue Lu
Igor Gilitschenski
Animesh Garg
DiffM
OCL
33
44
0
18 May 2023
Video Prediction by Efficient Transformers
Video Prediction by Efficient Transformers
Xi Ye
Guillaume-Alexandre Bilodeau
ViT
34
33
0
12 Dec 2022
Boosting Object Representation Learning via Motion and Object Continuity
Boosting Object Representation Learning via Motion and Object Continuity
Quentin Delfosse
Wolfgang Stammer
Thomas Rothenbacher
Dwarak Vittal
Kristian Kersting
OCL
37
20
0
16 Nov 2022
Dance of SNN and ANN: Solving binding problem by combining spike timing
  and reconstructive attention
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention
Hao Zheng
Hui Lin
Rong Zhao
Luping Shi
23
5
0
11 Nov 2022
Neural Systematic Binder
Neural Systematic Binder
Gautam Singh
Yeongbin Kim
Sungjin Ahn
OCL
29
36
0
02 Nov 2022
Unsupervised Multi-object Segmentation by Predicting Probable Motion
  Patterns
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns
Laurynas Karazija
Subhabrata Choudhury
Iro Laina
Christian Rupprecht
Andrea Vedaldi
OCL
103
20
0
21 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
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
Synthetic Data in Human Analysis: A Survey
Synthetic Data in Human Analysis: A Survey
Indu Joshi
Marcel Grimmer
Christian Rathgeb
Christoph Busch
F. Brémond
A. Dantcheva
20
46
0
19 Aug 2022
Learning to Generalize with Object-centric Agents in the Open World
  Survival Game Crafter
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter
Aleksandar Stanić
Yujin Tang
David R Ha
Jürgen Schmidhuber
ELM
29
12
0
05 Aug 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
Seeing the forest and the tree: Building representations of both
  individual and collective dynamics with transformers
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers
Ran Liu
Mehdi Azabou
M. Dabagia
Jingyun Xiao
Eva L. Dyer
AI4CE
32
19
0
10 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
48
114
0
27 May 2022
Learning What and Where: Disentangling Location and Identity Tracking
  Without Supervision
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
Manuel Traub
S. Otte
Tobias Menge
Matthias Karlbauer
Jannik Thummel
Martin Volker Butz
28
20
0
26 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
49
12
0
26 May 2022
Joint Forecasting of Panoptic Segmentations with Difference Attention
Joint Forecasting of Panoptic Segmentations with Difference Attention
Colin Graber
Cyril Jazra
Wenjie Luo
Liangyan Gui
A. Schwing
AI4TS
24
1
0
14 Apr 2022
Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent
  Dynamics from Volumetric Video
Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video
Jinseok Bae
Hojun Jang
Cheol-Hui Min
H. Choi
Y. Kim
13
5
0
17 Feb 2022
Feature Generation and Hypothesis Verification for Reliable Face
  Anti-Spoofing
Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing
Shice Liu
Shitao Lu
Hongyi Xu
J. Yang
Shouhong Ding
Lizhuang Ma
AAML
CVBM
32
39
0
30 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 Learning of Compositional Energy Concepts
Unsupervised Learning of Compositional Energy Concepts
Yilun Du
Shuang Li
Yash Sharma
J. Tenenbaum
Igor Mordatch
CoGe
OCL
19
76
0
04 Nov 2021
Unsupervised Image Decomposition with Phase-Correlation Networks
Unsupervised Image Decomposition with Phase-Correlation Networks
Angel Villar-Corrales
Sven Behnke
OCL
25
4
0
07 Oct 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
24
34
0
20 Jul 2021
Unsupervised Layered Image Decomposition into Object Prototypes
Unsupervised Layered Image Decomposition into Object Prototypes
Tom Monnier
Elliot Vincent
Jean Ponce
Mathieu Aubry
OCL
11
53
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
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive
  Architectures for Developmental Robots
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots
T. Taniguchi
Hiroshi Yamakawa
Takayuki Nagai
Kenji Doya
M. Sakagami
Masahiro Suzuki
Tomoaki Nakamura
Akira Taniguchi
20
23
0
15 Mar 2021
Unsupervised Object-Based Transition Models for 3D Partially Observable
  Environments
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments
Antonia Creswell
Rishabh Kabra
Christopher P. Burgess
Murray Shanahan
OCL
30
29
0
08 Mar 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics
Neural Production Systems: Learning Rule-Governed Visual Dynamics
Anirudh Goyal
Aniket Didolkar
Nan Rosemary Ke
Charles Blundell
Philippe Beaudoin
N. Heess
Michael C. Mozer
Yoshua Bengio
OCL
44
82
0
02 Mar 2021
Self-supervised Visual Reinforcement Learning with Object-centric
  Representations
Self-supervised Visual Reinforcement Learning with Object-centric Representations
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
SSL
OCL
6
41
0
29 Nov 2020
Generative Neurosymbolic Machines
Generative Neurosymbolic Machines
Jindong Jiang
Sungjin Ahn
BDL
OCL
219
68
0
23 Oct 2020
Slot Contrastive Networks: A Contrastive Approach for Representing
  Objects
Slot Contrastive Networks: A Contrastive Approach for Representing Objects
Evan Racah
Sarath Chandar
OCL
DRL
21
14
0
18 Jul 2020
AutoTrajectory: Label-free Trajectory Extraction and Prediction from
  Videos using Dynamic Points
AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points
Yuexin Ma
Xinge ZHU
Xinjing Cheng
Ruigang Yang
Jiming Liu
Dinesh Manocha
3DPC
26
12
0
11 Jul 2020
Learning Physical Graph Representations from Visual Scenes
Learning Physical Graph Representations from Visual Scenes
Daniel M. Bear
Chaofei Fan
Damian Mrowca
Yunzhu Li
S. Alter
...
Jeremy Schwartz
Li Fei-Fei
Jiajun Wu
J. Tenenbaum
Daniel L. K. Yamins
SSL
GNN
SSeg
AI4CE
37
79
0
22 Jun 2020
Variational State-Space Models for Localisation and Dense 3D Mapping in
  6 DoF
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF
Atanas Mirchev
Baris Kayalibay
Patrick van der Smagt
Justin Bayer
BDL
DRL
12
9
0
17 Jun 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
Nicolas Thome
AI4CE
PINN
89
288
0
03 Mar 2020
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial
  Attention and Decomposition
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
Zhixuan Lin
Yi-Fu Wu
Skand Peri
Weihao Sun
Gautam Singh
Fei Deng
Jindong Jiang
Sungjin Ahn
BDL
OCL
3DPC
28
246
0
08 Jan 2020
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
Eric Crawford
Joelle Pineau
44
66
0
20 Nov 2019
SCALOR: Generative World Models with Scalable Object Representations
SCALOR: Generative World Models with Scalable Object Representations
Jindong Jiang
Sepehr Janghorbani
Gerard de Melo
Sungjin Ahn
OCL
DRL
32
132
0
06 Oct 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
22
12
0
12 Jul 2019
A Perspective on Objects and Systematic Generalization in Model-Based RL
A Perspective on Objects and Systematic Generalization in Model-Based RL
Sjoerd van Steenkiste
Klaus Greff
Jürgen Schmidhuber
OCL
OffRL
17
31
0
03 Jun 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation
  from Video
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video
Miguel Jaques
Michael G. Burke
Timothy M. Hospedales
VGen
PINN
21
44
0
27 May 2019
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