Physics

Neural implicit representations have gained popularity in multi-view 3D reconstruction. However, most previous work struggles to yield …

Current evaluation protocols predominantly assess physical reasoning in stationary scenes, creating a gap in evaluating agents’ …

Intuitive physics is pivotal for human understanding of the physical world, enabling prediction and interpretation of events even in …

In this work, we present a reconfigurable data glove design to capture different modes of human hand-object interactions, which are …

Is dynamics prediction indispensable for physical reasoning? If so, what kind of roles do the dynamics prediction modules play during …

In this paper, we rethink the problem of scene reconstruction from an embodied agent’s perspective: While the classic view focuses on …

[Learning meets Cognition] Topics include analogy, causality, IQ, number sense, physics, and tool-use.

We present a robot learning and planning framework that produces an effective tool-use strategy with the least joint efforts, capable …

In this paper, we rethink the problem of scene reconstruction from an embodied agent’s perspective: While the classic view …

Recent progress in deep learning is essentially based on a “big data for small tasks” paradigm, under which massive amounts …