108 citations · 415 across the 23 of their papers we have counts for
5 papers · 1 filter
Unifying (Machine) Vision via Counterfactual World Modeling
Daniel M. Bear, Kevin Feigelis, Honglin Chen +5
Leading approaches in machine vision employ different architectures for different tasks, trained on costly task-specific labeled datasets. This complexity has held back progress in…
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen +6
General physical scene understanding requires more than simply localizing and recognizing objects -- it requires knowledge that objects can have different latent properties (e.g.,…
Developmental Curiosity and Social Interaction in Virtual Agents
Chris Doyle, Sarah Shader, Michelle Lau +3
Infants explore their complex physical and social environment in an organized way. To gain insight into what intrinsic motivations may help structure this exploration, we create a…
Measuring and Modeling Physical Intrinsic Motivation
Julio Martinez, Felix Binder, Haoliang Wang +3
Humans are interactive agents driven to seek out situations with interesting physical dynamics. Here we formalize the functional form of physical intrinsic motivation. We first col…
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes
Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum +3
Given a visual scene, humans have strong intuitions about how a scene can evolve over time under given actions. The intuition, often termed visual intuitive physics, is a critical…