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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
Systematic Visual Reasoning through Object-Centric Relational
  Abstraction
Systematic Visual Reasoning through Object-Centric Relational Abstraction
Taylor Webb
S. S. Mondal
Jonathan D. Cohen
OCL
30
24
0
04 Jun 2023
Cycle Consistency Driven Object Discovery
Cycle Consistency Driven Object Discovery
Aniket Didolkar
Anirudh Goyal
Yoshua Bengio
OCL
24
8
0
03 Jun 2023
Rotating Features for Object Discovery
Rotating Features for Object Discovery
Sindy Löwe
Phillip Lippe
Francesco Locatello
Max Welling
OCL
30
21
0
01 Jun 2023
Sensitivity of Slot-Based Object-Centric Models to their Number of Slots
Sensitivity of Slot-Based Object-Centric Models to their Number of Slots
Roland S. Zimmermann
Sjoerd van Steenkiste
Mehdi S. M. Sajjadi
Thomas Kipf
Klaus Greff
OCL
35
5
0
30 May 2023
Im-Promptu: In-Context Composition from Image Prompts
Im-Promptu: In-Context Composition from Image Prompts
Bhishma Dedhia
Michael Chang
Jake C. Snell
Thomas Griffiths
N. Jha
LRM
MLLM
32
1
0
26 May 2023
Revisiting Structured Variational Autoencoders
Revisiting Structured Variational Autoencoders
Yixiu Zhao
Scott W. Linderman
BDL
DRL
22
8
0
25 May 2023
Contrastive Training of Complex-Valued Autoencoders for Object Discovery
Contrastive Training of Complex-Valued Autoencoders for Object Discovery
Aleksandar Stanić
Anand Gopalakrishnan
Kazuki Irie
Jürgen Schmidhuber
OCL
36
14
0
24 May 2023
An Examination of the Robustness of Reference-Free Image Captioning
  Evaluation Metrics
An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics
Saba Ahmadi
Aishwarya Agrawal
30
6
0
24 May 2023
Provably Learning Object-Centric Representations
Provably Learning Object-Centric Representations
Jack Brady
Roland S. Zimmermann
Yash Sharma
Bernhard Schölkopf
Julius von Kügelgen
Wieland Brendel
OCL
35
31
0
23 May 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
45
0
18 May 2023
AutoRecon: Automated 3D Object Discovery and Reconstruction
AutoRecon: Automated 3D Object Discovery and Reconstruction
Yuang Wang
Xingyi He He
Sida Peng
Haotong Lin
Hujun Bao
Xiaowei Zhou
30
11
0
15 May 2023
AudioSlots: A slot-centric generative model for audio separation
AudioSlots: A slot-centric generative model for audio separation
P. Reddy
Scott Wisdom
Klaus Greff
J. Hershey
Thomas Kipf
OCL
VLM
28
6
0
09 May 2023
DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric
  Voxelization
DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization
Yanpeng Zhao
Siyu Gao
Yunbo Wang
Xiaokang Yang
OCL
13
1
0
30 Apr 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
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric
  Learning
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning
Jinwoo Kim
Janghyuk Choi
Ho-Jin Choi
Seon Joo Kim
OCL
VLM
27
14
0
31 Mar 2023
Object Discovery from Motion-Guided Tokens
Object Discovery from Motion-Guided Tokens
Zhipeng Bao
P. Tokmakov
Yu-xiong Wang
Adrien Gaidon
M. Hebert
OCL
43
20
0
27 Mar 2023
Model-Based Reinforcement Learning with Isolated Imaginations
Model-Based Reinforcement Learning with Isolated Imaginations
Minting Pan
Xiangming Zhu
Yitao Zheng
Yunbo Wang
Xiaokang Yang
31
0
0
27 Mar 2023
Neural Constraint Satisfaction: Hierarchical Abstraction for
  Combinatorial Generalization in Object Rearrangement
Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
Michael Chang
Alyssa Dayan
Franziska Meier
Thomas Griffiths
Sergey Levine
Amy Zhang
OCL
OffRL
32
9
0
20 Mar 2023
Object-Centric Slot Diffusion
Object-Centric Slot Diffusion
Jindong Jiang
Fei Deng
Gautam Singh
S. Ahn
DiffM
BDL
OCL
25
57
0
20 Mar 2023
Probing neural representations of scene perception in a hippocampally
  dependent task using artificial neural networks
Probing neural representations of scene perception in a hippocampally dependent task using artificial neural networks
Markus Frey
Christian F. Doeller
Caswell Barry
39
4
0
11 Mar 2023
Learning to reason over visual objects
Learning to reason over visual objects
S. S. Mondal
Taylor Webb
Jonathan D. Cohen
OCL
33
29
0
03 Mar 2023
Intrinsic Physical Concepts Discovery with Object-Centric Predictive
  Models
Intrinsic Physical Concepts Discovery with Object-Centric Predictive Models
Qu Tang
Xiangyu Zhu
Zhen Lei
Zhaoxiang Zhang
OCL
63
8
0
03 Mar 2023
Semantic Attention Flow Fields for Monocular Dynamic Scene Decomposition
Semantic Attention Flow Fields for Monocular Dynamic Scene Decomposition
Yiqing Liang
Eliot Laidlaw
Alexander Meyerowitz
Srinath Sridhar
James Tompkin
VOS
30
13
0
02 Mar 2023
Denoising Diffusion Samplers
Denoising Diffusion Samplers
Francisco Vargas
Will Grathwohl
Arnaud Doucet
DiffM
24
75
0
27 Feb 2023
Invariant Slot Attention: Object Discovery with Slot-Centric Reference
  Frames
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
Ondrej Biza
Sjoerd van Steenkiste
Mehdi S. M. Sajjadi
Gamaleldin F. Elsayed
Aravindh Mahendran
Thomas Kipf
OCL
50
32
0
09 Feb 2023
An Investigation into Pre-Training Object-Centric Representations for
  Reinforcement Learning
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
Jaesik Yoon
Yi-Fu Wu
Heechul Bae
Sungjin Ahn
OCL
35
41
0
09 Feb 2023
Structured Generative Models for Scene Understanding
Structured Generative Models for Scene Understanding
Christopher K. I. Williams
OCL
3DV
19
3
0
07 Feb 2023
Object-Centric Scene Representations using Active Inference
Object-Centric Scene Representations using Active Inference
Toon Van de Maele
Tim Verbelen
Pietro Mazzaglia
Stefano Ferraro
Bart Dhoedt
OCL
BDL
43
5
0
07 Feb 2023
The Learnable Typewriter: A Generative Approach to Text Analysis
The Learnable Typewriter: A Generative Approach to Text Analysis
Ioannis Siglidis
Nicolas Gonthier
J. Gaubil
Tom Monnier
Mathieu Aubry
32
1
0
03 Feb 2023
Semantic 3D-aware Portrait Synthesis and Manipulation Based on
  Compositional Neural Radiance Field
Semantic 3D-aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field
Tianxiang Ma
Bingchuan Li
Qian He
Jing Dong
Tieniu Tan
30
12
0
03 Feb 2023
Unlocking Slot Attention by Changing Optimal Transport Costs
Unlocking Slot Attention by Changing Optimal Transport Costs
Yan Zhang
David W. Zhang
Simon Lacoste-Julien
Gertjan J. Burghouts
Cees G. M. Snoek
OCL
39
11
0
30 Jan 2023
World Models and Predictive Coding for Cognitive and Developmental
  Robotics: Frontiers and Challenges
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges
T. Taniguchi
Shingo Murata
Masahiro Suzuki
D. Ognibene
Pablo Lanillos
...
L. Jamone
Tomoaki Nakamura
Alejandra Ciria
B. Lara
G. Pezzulo
32
52
0
14 Jan 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal
  Representation Learning
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
Yuejiang Liu
Alexandre Alahi
Chris Russell
Max Horn
Dominik Zietlow
Bernhard Schölkopf
Francesco Locatello
CML
59
22
0
12 Jan 2023
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know
  How to Reason?
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason?
Monika Wysoczañska
Tom Monnier
Tomasz Trzciñski
David Picard
ReLM
OCL
40
1
0
20 Dec 2022
WALDO: Future Video Synthesis using Object Layer Decomposition and
  Parametric Flow Prediction
WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction
G. L. Moing
Jean Ponce
Cordelia Schmid
28
6
0
25 Nov 2022
ONeRF: Unsupervised 3D Object Segmentation from Multiple Views
ONeRF: Unsupervised 3D Object Segmentation from Multiple Views
Sheng-Ming Liang
Yichen Liu
Shangzhe Wu
Yu-Wing Tai
Chi-Keung Tang
41
7
0
22 Nov 2022
Compositional Scene Modeling with Global Object-Centric Representations
Compositional Scene Modeling with Global Object-Centric Representations
Tonglin Chen
Bin Li
Zhimeng Shen
Xiangyang Xue
OCL
22
2
0
21 Nov 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
49
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
36
5
0
11 Nov 2022
Disentangling Content and Motion for Text-Based Neural Video
  Manipulation
Disentangling Content and Motion for Text-Based Neural Video Manipulation
Levent Karacan
Tolga Kerimouglu
.Ismail .Inan
Tolga Birdal
Erkut Erdem
Aykut Erdem
29
1
0
05 Nov 2022
Neural Systematic Binder
Neural Systematic Binder
Gautam Singh
Yeongbin Kim
Sungjin Ahn
OCL
32
36
0
02 Nov 2022
Learning Explicit Object-Centric Representations with Vision
  Transformers
Learning Explicit Object-Centric Representations with Vision Transformers
Oscar Vikström
Alexander Ilin
OCL
ViT
38
4
0
25 Oct 2022
Search for Concepts: Discovering Visual Concepts Using Direct
  Optimization
Search for Concepts: Discovering Visual Concepts Using Direct Optimization
P. Reddy
Paul Guerrero
Niloy J. Mitra
OCL
21
4
0
25 Oct 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
108
21
0
21 Oct 2022
Solving Reasoning Tasks with a Slot Transformer
Solving Reasoning Tasks with a Slot Transformer
Ryan Faulkner
Daniel Zoran
LRM
26
1
0
20 Oct 2022
Improving Object-centric Learning with Query Optimization
Improving Object-centric Learning with Query Optimization
Baoxiong Jia
Yu Liu
Siyuan Huang
OCL
31
49
0
17 Oct 2022
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
25
6
0
13 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based
  Models
Robust and Controllable Object-Centric Learning through Energy-based Models
Ruixiang Zhang
Tong Che
Boris Ivanovic
Renhao Wang
Marco Pavone
Yoshua Bengio
Liam Paull
OCL
34
8
0
11 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
102
30
0
10 Oct 2022
Promising or Elusive? Unsupervised Object Segmentation from Real-world
  Single Images
Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images
Yafei Yang
Bo Yang
OCL
106
17
0
05 Oct 2022
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