Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2004.13664
Cited By
Visual Grounding of Learned Physical Models
28 April 2020
Yunzhu Li
Toru Lin
Kexin Yi
Daniel M. Bear
Daniel L. K. Yamins
Jiajun Wu
J. Tenenbaum
Antonio Torralba
OOD
OCL
AI4CE
PINN
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Visual Grounding of Learned Physical Models"
15 / 15 papers shown
Title
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
Jiaxu Wang
Jingkai Sun
Junhao He
Ziyi Zhang
Qiang Zhang
Mingyuan Sun
Renjing Xu
AI4CE
30
0
0
11 Oct 2024
Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction
Peter Yichen Chen
Chao Liu
Pingchuan Ma
John Eastman
Daniela Rus
Dylan Randle
Yuri Ivanov
Wojciech Matusik
41
0
0
04 Oct 2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
Hao Fang
Jiawei Kong
Wenbo Yu
Bin Chen
Jiawei Li
Hao Wu
Ke Xu
Ke Xu
AAML
VLM
38
13
0
08 Jun 2024
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes
Haotian Xue
Antonio Torralba
J. Tenenbaum
Daniel L. K. Yamins
Yunzhu Li
H. Tung
PINN
VGen
AI4CE
46
8
0
22 Apr 2023
Learning Interpretable Dynamics from Images of a Freely Rotating 3D Rigid Body
J. Mason
Christine Allen-Blanchette
Nicholas Zolman
Elizabeth Davison
Naomi Ehrich Leonard
3DH
AI4CE
26
8
0
23 Sep 2022
KINet: Unsupervised Forward Models for Robotic Pushing Manipulation
Alireza Rezazadeh
Changhyun Choi
SSL
3DPC
22
3
0
18 Feb 2022
Flexible Networks for Learning Physical Dynamics of Deformable Objects
Jinhyung D. Park
Dohae Lee
In-Kwon Lee
3DPC
AI4CE
19
2
0
07 Dec 2021
Discovering Latent Representations of Relations for Interacting Systems
Dohae Lee
Young-Jin Oh
In-Kwon Lee
BDL
19
1
0
10 Nov 2021
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
Mingyu Ding
Zhenfang Chen
Tao Du
Ping Luo
J. Tenenbaum
Chuang Gan
VGen
PINN
OCL
22
74
0
28 Oct 2021
Physion: Evaluating Physical Prediction from Vision in Humans and Machines
Daniel M. Bear
E. Wang
Damian Mrowca
Felix Binder
Hsiau-Yu Fish Tung
...
Li Fei-Fei
Nancy Kanwisher
J. Tenenbaum
Daniel L. K. Yamins
Judith E. Fan
OOD
45
86
0
15 Jun 2021
Pushing it out of the Way: Interactive Visual Navigation
Kuo-Hao Zeng
Luca Weihs
Ali Farhadi
Roozbeh Mottaghi
15
30
0
28 Apr 2021
Learning Physical Graph Representations from Visual Scenes
Daniel M. Bear
Chaofei Fan
Damian Mrowca
Yunzhu Li
S. Alter
...
Jeremy Schwartz
Li Fei-Fei
Jiajun Wu
J. Tenenbaum
Daniel L. K. Yamins
SSL
GNN
SSeg
AI4CE
35
78
0
22 Jun 2020
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
Connor Schenck
D. Fox
PINN
3DPC
AI4CE
167
161
0
15 Jun 2018
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
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
260
1,400
0
01 Dec 2016
1