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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 / 61 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
46
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
49
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 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
36
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
68
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
33
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
36
44
0
18 May 2023
Divided Attention: Unsupervised Multi-Object Discovery with Contextually
  Separated Slots
Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots
Dong Lao
Zhengyang Hu
Francesco Locatello
Yanchao Yang
Stefano Soatto
OCL
33
5
0
04 Apr 2023
Object-Centric Video Prediction via Decoupling of Object Dynamics and
  Interactions
Object-Centric Video Prediction via Decoupling of Object Dynamics and Interactions
Angel Villar-Corrales
Ismail Wahdan
Sven Behnke
OCL
29
7
0
23 Feb 2023
Video Prediction by Efficient Transformers
Video Prediction by Efficient Transformers
Xi Ye
Guillaume-Alexandre Bilodeau
ViT
39
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
25
5
0
11 Nov 2022
Neural Systematic Binder
Neural Systematic Binder
Gautam Singh
Yeongbin Kim
Sungjin Ahn
OCL
32
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
106
21
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
45
140
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
21
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
35
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
13
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
58
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
34
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
52
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
29
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
19
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
34
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
41
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
24
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
33
4
0
07 Oct 2021
Is Attention Better Than Matrix Decomposition?
Is Attention Better Than Matrix Decomposition?
Zhengyang Geng
Meng-Hao Guo
Hongxu Chen
Xia Li
Ke Wei
Zhouchen Lin
62
137
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
32
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
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
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
74
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
28
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
37
115
0
20 Apr 2021
Panoptic Segmentation Forecasting
Panoptic Segmentation Forecasting
Colin Graber
Grace Tsai
Michael Firman
Gabriel J. Brostow
A. Schwing
41
12
0
08 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
28
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
50
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
27
41
0
29 Nov 2020
Generative Neurosymbolic Machines
Generative Neurosymbolic Machines
Jindong Jiang
Sungjin Ahn
BDL
OCL
219
68
0
23 Oct 2020
Improving Generative Imagination in Object-Centric World Models
Improving Generative Imagination in Object-Centric World Models
Zhixuan Lin
Yi-Fu Wu
Skand Peri
Bofeng Fu
Jindong Jiang
Sungjin Ahn
OCL
27
80
0
05 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
Tianyi Zhou
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
45
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
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