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Attend, Infer, Repeat: Fast Scene Understanding with Generative Models

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models

28 March 2016
S. M. Ali Eslami
N. Heess
T. Weber
Yuval Tassa
David Szepesvari
Koray Kavukcuoglu
Geoffrey E. Hinton
    3DV
    BDL
    OCL
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Papers citing "Attend, Infer, Repeat: Fast Scene Understanding with Generative Models"

20 / 20 papers shown
Title
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
Aniket Didolkar
Andrii Zadaianchuk
Rabiul Awal
Maximilian Seitzer
E. Gavves
Aishwarya Agrawal
OCL
VLM
138
3
0
27 Mar 2025
Object-centric proto-symbolic behavioural reasoning from pixels
Object-centric proto-symbolic behavioural reasoning from pixels
R. S. V. Bergen
Justus F. Hübotter
Pablo Lanillos
LM&Ro
OCL
128
1
0
26 Nov 2024
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
82
7
0
22 Jul 2024
Unsupervised Discovery of Object-Centric Neural Fields
Unsupervised Discovery of Object-Centric Neural Fields
Rundong Luo
Hong-Xing Yu
Jiajun Wu
3DPC
OCL
128
4
0
12 Feb 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
102
1
0
18 Jan 2024
Salient Object Subitizing
Salient Object Subitizing
Jianming Zhang
Shugao Ma
M. Sameki
Stan Sclaroff
Margrit Betke
Zhe Lin
Xiaohui Shen
Brian L. Price
R. Měch
46
115
0
26 Jul 2016
Adaptive Computation Time for Recurrent Neural Networks
Adaptive Computation Time for Recurrent Neural Networks
Alex Graves
48
544
0
29 Mar 2016
Efficient inference in occlusion-aware generative models of images
Efficient inference in occlusion-aware generative models of images
Jonathan Huang
Kevin Patrick Murphy
BDL
OCL
58
43
0
19 Nov 2015
Gradient Estimation Using Stochastic Computation Graphs
Gradient Estimation Using Stochastic Computation Graphs
John Schulman
N. Heess
T. Weber
Pieter Abbeel
OffRL
123
391
0
17 Jun 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
264
7,361
0
05 Jun 2015
Deep Convolutional Inverse Graphics Network
Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni
William F. Whitney
Pushmeet Kohli
J. Tenenbaum
DRL
BDL
78
929
0
11 Mar 2015
DRAW: A Recurrent Neural Network For Image Generation
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GAN
DRL
147
1,959
0
16 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
857
149,474
0
22 Dec 2014
Recurrent Models of Visual Attention
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
110
3,645
0
24 Jun 2014
The Informed Sampler: A Discriminative Approach to Bayesian Inference in
  Generative Computer Vision Models
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models
Varun Jampani
Sebastian Nowozin
M. Loper
Peter V. Gehler
73
45
0
04 Feb 2014
Neural Variational Inference and Learning in Belief Networks
Neural Variational Inference and Learning in Belief Networks
A. Mnih
Karol Gregor
BDL
115
729
0
31 Jan 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
367
16,962
0
20 Dec 2013
Learning Generative Models with Visual Attention
Learning Generative Models with Visual Attention
Yichuan Tang
Nitish Srivastava
Ruslan Salakhutdinov
DiffM
115
85
0
20 Dec 2013
Approximate Bayesian Image Interpretation using Generative Probabilistic
  Graphics Programs
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs
Vikash K. Mansinghka
Tejas D. Kulkarni
Yura N. Perov
J. Tenenbaum
120
108
0
29 Jun 2013
Weakly Supervised Learning of Foreground-Background Segmentation using
  Masked RBMs
Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs
N. Heess
Nicolas Le Roux
J. Winn
65
18
0
19 Jul 2011
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