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Structured Object-Aware Physics Prediction for Video Modeling and
  Planning

Structured Object-Aware Physics Prediction for Video Modeling and Planning

6 October 2019
Jannik Kossen
Karl Stelzner
Marcel Hussing
C. Voelcker
Kristian Kersting
    OCL
ArXivPDFHTML

Papers citing "Structured Object-Aware Physics Prediction for Video Modeling and Planning"

18 / 18 papers shown
Title
Slot-BERT: Self-supervised Object Discovery in Surgical Video
Slot-BERT: Self-supervised Object Discovery in Surgical Video
Guiqiu Liao
M. Jogan
Marcel Hussing
Kenta Nakahashi
Kazuhiro Yasufuku
Amin Madani
Eric Eaton
Daniel A. Hashimoto
109
0
0
21 Jan 2025
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems
Alejandro Castañeda Garcia
J. C. V. Gemert
Daan Brinks
Nergis Tömen
33
0
0
02 Oct 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
32
10
0
01 Apr 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
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
25
1
0
16 Oct 2023
Improving Reliable Navigation under Uncertainty via Predictions Informed
  by Non-Local Information
Improving Reliable Navigation under Uncertainty via Predictions Informed by Non-Local Information
Raihan Islam Arnob
Gregory J. Stein
28
2
0
26 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
28
44
0
18 May 2023
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
98
20
0
21 Oct 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
37
114
0
27 May 2022
Neural Implicit Representations for Physical Parameter Inference from a
  Single Video
Neural Implicit Representations for Physical Parameter Inference from a Single Video
Florian Hofherr
Lukas Koestler
Florian Bernard
Daniel Cremers
AI4CE
27
9
0
29 Apr 2022
KINet: Unsupervised Forward Models for Robotic Pushing Manipulation
KINet: Unsupervised Forward Models for Robotic Pushing Manipulation
Alireza Rezazadeh
Changhyun Choi
SSL
3DPC
22
3
0
18 Feb 2022
RAIN: Reinforced Hybrid Attention Inference Network for Motion
  Forecasting
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting
Jiachen Li
Fan Yang
Hengbo Ma
Srikanth Malla
M. Tomizuka
Chiho Choi
21
42
0
03 Aug 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
19
34
0
20 Jul 2021
Learning Long-term Visual Dynamics with Region Proposal Interaction
  Networks
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
Haozhi Qi
Xiaolong Wang
Deepak Pathak
Yi-An Ma
Jitendra Malik
28
56
0
05 Aug 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
S2RMs: Spatially Structured Recurrent Modules
S2RMs: Spatially Structured Recurrent Modules
Nasim Rahaman
Anirudh Goyal
Muhammad Waleed Gondal
M. Wuthrich
Stefan Bauer
Yash Sharma
Yoshua Bengio
Bernhard Schölkopf
16
14
0
13 Jul 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
236
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
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