9 citations · 14 across the 12 of their papers we have counts for
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cs.CV2023
Understanding Physical Dynamics with Counterfactual World Modeling
Rahul Venkatesh, Honglin Chen, Kevin Feigelis +9
The ability to understand physical dynamics is critical for agents to act in the world. Here, we use Counterfactual World Modeling (CWM) to extract vision structures for dynamics u…
cs.CV2023★ 9 cited
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…