ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.07371
  4. Cited By
Object-Oriented Dynamics Predictor

Object-Oriented Dynamics Predictor

25 May 2018
Guangxiang Zhu
Zhiao Huang
Chongjie Zhang
    AI4CE
ArXivPDFHTML

Papers citing "Object-Oriented Dynamics Predictor"

28 / 28 papers shown
Title
Human-Object Interaction with Vision-Language Model Guided Relative Movement Dynamics
Human-Object Interaction with Vision-Language Model Guided Relative Movement Dynamics
Zekai Deng
Ye-ling Shi
Kaiyang Ji
Lan Xu
Shaoli Huang
Jingya Wang
55
0
0
24 Mar 2025
Learning Causal Dynamics Models in Object-Oriented Environments
Learning Causal Dynamics Models in Object-Oriented Environments
Zhongwei Yu
Jingqing Ruan
Dengpeng Xing
46
1
0
21 May 2024
Learning Physical Dynamics for Object-centric Visual Prediction
Learning Physical Dynamics for Object-centric Visual Prediction
Hui Xu
Tao Chen
Feng Xu
OCL
40
0
0
15 Mar 2024
CG-HOI: Contact-Guided 3D Human-Object Interaction Generation
CG-HOI: Contact-Guided 3D Human-Object Interaction Generation
Christian Diller
Angela Dai
29
60
0
27 Nov 2023
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed
  Diffusion
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion
Sirui Xu
Zhengyu Li
Yu-Xiong Wang
Liangyan Gui
DiffM
41
112
0
31 Aug 2023
Dynamic-Resolution Model Learning for Object Pile Manipulation
Dynamic-Resolution Model Learning for Object Pile Manipulation
Yixuan Wang
Yunzhu Li
Katherine Driggs-Campbell
Li Fei-Fei
Jiajun Wu
32
19
0
29 Jun 2023
Learning Interpretable Models of Aircraft Handling Behaviour by
  Reinforcement Learning from Human Feedback
Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback
Tom Bewley
J. Lawry
Arthur G. Richards
30
1
0
26 May 2023
PDSketch: Integrated Planning Domain Programming and Learning
PDSketch: Integrated Planning Domain Programming and Learning
Jiayuan Mao
Tomás Lozano-Pérez
J. Tenenbaum
L. Kaelbling
31
3
0
09 Mar 2023
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
Reward Learning with Trees: Methods and Evaluation
Reward Learning with Trees: Methods and Evaluation
Tom Bewley
J. Lawry
Arthur G. Richards
R. Craddock
Ian Henderson
23
1
0
03 Oct 2022
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
Danny Driess
Zhiao Huang
Yunzhu Li
Russ Tedrake
Marc Toussaint
OCL
AI4CE
116
85
0
24 Feb 2022
A Survey on Interpretable Reinforcement Learning
A Survey on Interpretable Reinforcement Learning
Claire Glanois
Paul Weng
Matthieu Zimmer
Dong Li
Tianpei Yang
Jianye Hao
Wulong Liu
OffRL
23
94
0
24 Dec 2021
Pretrained Encoders are All You Need
Pretrained Encoders are All You Need
Mina Khan
P. Srivatsa
Advait Rane
Shriram Chenniappa
Rishabh Anand
Sherjil Ozair
Pattie Maes
SSL
VLM
23
6
0
09 Jun 2021
Uncovering Closed-form Governing Equations of Nonlinear Dynamics from
  Videos
Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos
Lele Luan
Yang Liu
Hao Sun
PINN
AI4CE
28
0
0
09 Jun 2021
Causal World Models by Unsupervised Deconfounding of Physical Dynamics
Causal World Models by Unsupervised Deconfounding of Physical Dynamics
Minne Li
Girish A. Koushik
Furui Liu
Xu Chen
Zhitang Chen
Jun Wang
SyDa
CML
25
12
0
28 Dec 2020
Unsupervised object-centric video generation and decomposition in 3D
Unsupervised object-centric video generation and decomposition in 3D
Paul Henderson
Christoph H. Lampert
OCL
22
36
0
07 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics
Counterfactual Data Augmentation using Locally Factored Dynamics
Silviu Pitis
Elliot Creager
Animesh Garg
BDL
OffRL
21
85
0
06 Jul 2020
Occlusion resistant learning of intuitive physics from videos
Occlusion resistant learning of intuitive physics from videos
Ronan Riochet
Josef Sivic
Ivan Laptev
Emmanuel Dupoux
PINN
24
6
0
30 Apr 2020
Transformation-based Adversarial Video Prediction on Large-Scale Data
Transformation-based Adversarial Video Prediction on Large-Scale Data
Pauline Luc
Aidan Clark
Sander Dieleman
Diego de Las Casas
Yotam Doron
Albin Cassirer
Karen Simonyan
VGen
231
86
0
09 Mar 2020
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning
William Agnew
Pedro M. Domingos
OffRL
31
3
0
03 Mar 2020
Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on
  Contingency-aware Observation
Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation
Huazhe Xu
Boyuan Chen
Yang Gao
Trevor Darrell
OffRL
10
2
0
17 Oct 2019
Unsupervised State Representation Learning in Atari
Unsupervised State Representation Learning in Atari
Ankesh Anand
Evan Racah
Sherjil Ozair
Yoshua Bengio
Marc-Alexandre Côté
R. Devon Hjelm
SSL
41
254
0
19 Jun 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation
  from Video
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video
Miguel Jaques
Michael G. Burke
Timothy M. Hospedales
VGen
PINN
21
45
0
27 May 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Yilun Du
Karthik Narasimhan
19
33
0
13 May 2019
Object-Oriented Dynamics Learning through Multi-Level Abstraction
Object-Oriented Dynamics Learning through Multi-Level Abstraction
Guangxiang Zhu
Jianhao Wang
Zhizhou Ren
Zichuan Lin
Chongjie Zhang
AI4CE
32
5
0
16 Apr 2019
Joint Perception and Control as Inference with an Object-based
  Implementation
Joint Perception and Control as Inference with an Object-based Implementation
Minne Li
Zheng Tian
Pranav Nashikkar
Ian Davies
Ying Wen
Jun Wang
22
2
0
04 Mar 2019
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
280
1,401
0
01 Dec 2016
1