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Learning What and Where: Disentangling Location and Identity Tracking
  Without Supervision

Learning What and Where: Disentangling Location and Identity Tracking Without Supervision

26 May 2022
Manuel Traub
S. Otte
Tobias Menge
Matthias Karlbauer
Jannik Thummel
Martin Volker Butz
ArXivPDFHTML

Papers citing "Learning What and Where: Disentangling Location and Identity Tracking Without Supervision"

22 / 22 papers shown
Title
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
93
0
0
26 Nov 2024
Zero-Shot Object-Centric Representation Learning
Zero-Shot Object-Centric Representation Learning
Aniket Didolkar
Andrii Zadaianchuk
Anirudh Goyal
Mike Mozer
Yoshua Bengio
Georg Martius
Maximilian Seitzer
VLM
OCL
37
4
0
17 Aug 2024
Guiding Video Prediction with Explicit Procedural Knowledge
Guiding Video Prediction with Explicit Procedural Knowledge
Patrick Takenaka
Johannes Maucher
Marco F. Huber
50
1
0
26 Jun 2024
ViPro: Enabling and Controlling Video Prediction for Complex Dynamical
  Scenarios using Procedural Knowledge
ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios using Procedural Knowledge
Patrick Takenaka
Johannes Maucher
Marco F. Huber
VGen
42
0
0
26 Jun 2024
Entity-Centric Reinforcement Learning for Object Manipulation from
  Pixels
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
Dan Haramati
Tal Daniel
Aviv Tamar
LM&Ro
OffRL
OCL
34
10
0
01 Apr 2024
Binding Dynamics in Rotating Features
Binding Dynamics in Rotating Features
Sindy Lowe
Francesco Locatello
Max Welling
OCL
20
2
0
08 Feb 2024
Benchmarks for Physical Reasoning AI
Benchmarks for Physical Reasoning AI
Andrew Melnik
Robin Schiewer
Moritz Lange
Andrei Muresanu
Mozhgan Saeidi
Animesh Garg
Helge J. Ritter
24
8
0
17 Dec 2023
SPOT: Self-Training with Patch-Order Permutation for Object-Centric
  Learning with Autoregressive Transformers
SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
Ioannis Kakogeorgiou
Spyros Gidaris
Konstantinos Karantzalos
N. Komodakis
ViT
OCL
15
12
0
01 Dec 2023
Loci-Segmented: Improving Scene Segmentation Learning
Loci-Segmented: Improving Scene Segmentation Learning
Manuel Traub
Frederic Becker
Adrian Sauter
S. Otte
Martin Volker Butz
26
2
0
16 Oct 2023
Learning Object Permanence from Videos via Latent Imaginations
Learning Object Permanence from Videos via Latent Imaginations
Manuel Traub
Frederic Becker
S. Otte
Martin Volker Butz
30
1
0
16 Oct 2023
Does Visual Pretraining Help End-to-End Reasoning?
Does Visual Pretraining Help End-to-End Reasoning?
Chen Sun
Calvin Luo
Xingyi Zhou
Anurag Arnab
Cordelia Schmid
OCL
LRM
ViT
35
3
0
17 Jul 2023
Object-Centric Learning for Real-World Videos by Predicting Temporal
  Feature Similarities
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
OCL
23
38
0
07 Jun 2023
Rotating Features for Object Discovery
Rotating Features for Object Discovery
Sindy Lowe
Phillip Lippe
Francesco Locatello
Max Welling
OCL
22
21
0
01 Jun 2023
Neural Foundations of Mental Simulation: Future Prediction of Latent
  Representations on Dynamic Scenes
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes
Aran Nayebi
R. Rajalingham
M. Jazayeri
G. R. Yang
36
17
0
19 May 2023
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
TrackFormer: Multi-Object Tracking with Transformers
TrackFormer: Multi-Object Tracking with Transformers
Tim Meinhardt
A. Kirillov
Laura Leal-Taixe
Christoph Feichtenhofer
VOT
220
742
0
07 Jan 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
219
68
0
23 Oct 2020
Learning Object Permanence from Video
Learning Object Permanence from Video
Aviv Shamsian
Ofri Kleinfeld
Amir Globerson
Gal Chechik
SSL
34
31
0
23 Mar 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
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
241
438
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
278
1,400
0
01 Dec 2016
1