Occlusion resistant learning of intuitive physics from videos

30 April 2020

Papers citing "Occlusion resistant learning of intuitive physics from videos"

5 / 5 papers shown

Title
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 64 8 0 22 Apr 2023
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 58 87 0 15 Jun 2021
AGENT: A Benchmark for Core Psychological Reasoning Tianmin Shu Abhishek Bhandwaldar Chuang Gan Kevin A. Smith Shari Liu Dan Gutfreund E. Spelke J. Tenenbaum T. Ullman 34 66 0 24 Feb 2021
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 439 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 283 1,401 0 01 Dec 2016