Projects
Reading
People
Chat
SU\G
(đž)
/K·U
Projects
Reading
People
Chat
Sign Up
Light
Dark
System
IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning.
Ronan Riochet
,
Mario Ynocente Castro
,
Mathieu Bernard
,
Adam Lerer
,
Rob Fergus
,
VĂ©ronique Izard
,
Emmanuel Dupoux
Type:
Preprint
Publication Date:
2018-03-20
Citations:
34
View Publication
Share
Locations
arXiv (Cornell University) -
View
Similar Works
Action
Title
Year
Authors
+
PDF
Chat
IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding
2021
Ronan Riochet
Mario Ynocente Castro
Mathieu Bernard
Adam Lerer
Rob Fergus
VĂ©ronique Izard
Emmanuel Dupoux
+
IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning
2018
Ronan Riochet
Mario Ynocente Castro
Mathieu Bernard
Adam Lerer
Rob Fergus
VĂ©ronique Izard
Emmanuel Dupoux
+
A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding
2016
Renqiao Zhang
Jia-Jun Wu
Chengkai Zhang
William T. Freeman
Joshua B. Tenenbaum
+
A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding
2016
Renqiao Zhang
Jiajun Wu
Chengkai Zhang
William T. Freeman
Joshua B. Tenenbaum
+
PDF
Chat
A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories
2021
Arijit Dasgupta
Jiafei Duan
Marcelo H. Ang
Yi Lin
Suhua Wang
Renée Baillargeon
Cheston Tan
+
A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories
2021
Arijit Dasgupta
Jiafei Duan
Marcelo H. Ang
Yi Lin
Suâhua Wang
Renée Baillargeon
Cheston Tan
+
PDF
Chat
Learning to Play Video Games with Intuitive Physics Priors
2024
Abhishek Jaiswal
Nisheeth Srivastava
+
PDF
Chat
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events
2023
Bo Dai
Linge Wang
Baoxiong Jia
Zeyu Zhang
SongâChun Zhu
Chi Zhang
Yixin Zhu
+
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events
2023
Bo Dai
Linge Wang
Baoxiong Jia
Zeyu Zhang
SongâChun Zhu
Chi Zhang
Yixin Zhu
+
DNN Architecture for High Performance Prediction on Natural Videos Loses Submodule's Ability to Learn Discrete-World Dataset
2019
Lana Sinapayen
Atsushi Noda
+
PDF
Chat
DNN Architecture for High Performance Prediction on Natural Videos Loses Submoduleâs Ability to Learn Discrete-World Dataset
2019
Lana Sinapayen
Atsushi Noda
+
A Survey on Machine Learning Approaches for Modelling Intuitive Physics
2022
Jiafei Duan
Arijit Dasgupta
Jason Fischer
Cheston Tan
+
PDF
Chat
A Survey on Machine Learning Approaches for Modelling Intuitive Physics
2022
Jiafei Duan
Arijit Dasgupta
Jason Fischer
Cheston Tan
+
PDF
Chat
Synthetic Vision: Training Vision-Language Models to Understand Physics
2024
Vahid Balazadeh
Mohammadmehdi Ataei
Hyunmin Cheong
Amir Hosein Khasahmadi
Rahul G. Krishnan
+
PDF
Chat
The Power of Next-Frame Prediction for Learning Physical Laws
2024
Thomas Winterbottom
G. Thomas Hudson
Daniel Kluvanec
Dean Slack
Jamie Sterling
Junjie Shentu
Chenghao Xiao
Zheming Zhou
Noura Al Moubayed
+
PDF
Chat
Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events
2024
Aditya Chinchure
Sahithya Ravi
Raymond T. Ng
Vered Shwartz
Boyang Li
Leonid Sigal
+
PIP: Physical Interaction Prediction via Mental Simulation with Span Selection
2021
Jiafei Duan
Samson S. Yu
Soujanya Poria
Bihan Wen
Cheston Tan
+
Physion: Evaluating Physical Prediction from Vision in Humans and Machines
2021
Daniel M. Bear
Elias Wang
Damian Mrowca
Felix J. Binder
Hsiau-Yu Fish Tung
R. T. Pramod
Cameron Holdaway
Sirui Tao
Kevin A. Smith
Fan-Yun Sun
+
AVoE: A Synthetic 3D Dataset on Understanding Violation of Expectation for Artificial Cognition
2021
Arijit Dasgupta
Jiafei Duan
Marcelo H. Ang
Cheston Tan
+
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
2021
Mingyu Ding
Zhenfang Chen
Tao Du
Ping Luo
Joshua B. Tenenbaum
Chuang Gan
Works That Cite This (26)
Action
Title
Year
Authors
+
CoPhy: Counterfactual Learning of Physical Dynamics
2019
Fabien Baradel
Natalia Neverova
Julien Mille
Greg Mori
Christian Wolf
+
Learning Generalizable Physical Dynamics of 3D Rigid Objects
2019
Davis Rempe
Srinath Sridhar
He Wang
Leonidas Guibas
+
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps
2020
M. Stetter
Elmar W. Lang
+
Unsupervised Discovery of 3D Physical Objects from Video
2020
Yilun Du
Kevin A. Smith
Tomer Ulman
Joshua B. Tenenbaum
Jiajun Wu
+
Occlusion resistant learning of intuitive physics from videos
2020
Ronan Riochet
Josef Ć ivic
Ivan Laptev
Emmanuel Dupoux
+
PDF
Chat
Predicting the Physical Dynamics of Unseen 3D Objects
2020
Davis Rempe
Srinath Sridhar
He Wang
Leonidas Guibas
+
PDF
Chat
Unsupervised Intuitive Physics from Visual Observations
2019
SĂ©bastien Ehrhardt
Ăron Monszpart
Niloy J. Mitra
Andrea Vedaldi
+
PDF
Chat
Capturing the objects of vision with neural networks
2021
Benjamin Peters
Nikolaus Kriegeskorte
+
Flexible Neural Representation for Physics Prediction
2018
Damian Mrowca
Chengxu Zhuang
Elias Wang
Nick Haber
Li Fei-Fei
Joshua B. Tenenbaum
Daniel Yamins
+
ESPRIT: Explaining Solutions to Physical Reasoning Tasks
2020
Nazneen Fatema Rajani
Rui Zhang
Yi Chern Tan
Stephan Zheng
Jeremy C. Weiss
Aadit Vyas
Abhijit Gupta
Caiming Xiong
Richard Socher
Dragomir Radev
Works Cited by This (17)
Action
Title
Year
Authors
+
Infantsâ Metaphysics: The Case of Numerical Identity
1996
Fei Xu
Susan Carey
+
PDF
Chat
ImageNet Large Scale Visual Recognition Challenge
2015
Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
+
Conditional Generative Adversarial Nets
2014
Mehdi Mirza
Simon Osindero
+
PDF
Chat
A Novel Performance Evaluation Methodology for Single-Target Trackers
2016
Matej Kristan
JiĆÄ±Ì Matas
AleĆĄ Leonardis
TomĂĄĆĄ VojĂĆ
Roman Pflugfelder
Gustavo J. FernĂĄndez
Georg Nebehay
Fatih Porikli
Luka Äehovin Zajc
+
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
2015
Alec Radford
Luke Metz
Soumith Chintala
+
PDF
Chat
Deep Residual Learning for Image Recognition
2016
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
+
PDF
Chat
âWhat Happens If...â Learning to Predict the Effect of Forces in Images
2016
Roozbeh Mottaghi
Mohammad Rastegari
Abhinav Gupta
Ali Farhadi
+
To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction
2016
Wenbin Li
Seyedmajid Azimi
AleĆĄ Leonardis
Mario Fritz
+
PDF
Chat
Fully-Convolutional Siamese Networks for Object Tracking
2016
Luca Bertinetto
Jack Valmadre
JoĂŁo F. Henriques
Andrea Vedaldi
Philip H. S. Torr
+
PDF
Chat
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
2016
Tal Linzen
Emmanuel Dupoux
Yoav Goldberg