Bernoulli filters are a class of exact Bayesian filters for non-linear/non-Gaussian recursive
estimation of dynamic systems, recently emerged from the random set theoretical framework …

Theories of visual object recognition must solve the problem of recognizing 3D objects given
that perceivers only receive 2D patterns of light on their retinae. Recent findings from human …

We study open-world 3D scene understanding, a family of tasks that require agents to
reason about their 3D environment with an open-set vocabulary and out-of-domain visual …

INTRODUCTION If a scientific construct's centrality reflects the variety of forms it takes, then
abstraction is a central construct in cognitive science, taking at least the following six senses …

Spatial competence is a central aspect of human adaptation. To understand human
cognitive functioning, we must understand how people code the locations of things, how …

This study investigated whether different lexicalization patterns of motion events in English
and Spanish predict how speakers of these languages perform in non-linguistic tasks. Using …

Languages vary strikingly in how they encode motion events. In some languages (eg
English), manner of motion is typically encoded within the verb, while direction of motion …

Our use of spatial prepositions carries an implicit understanding of the functional
relationships both between objects themselves and human interaction with those objects …

We introduce TIDEE, an embodied agent that tidies up a disordered scene based on
learned commonsense object placement and room arrangement priors. TIDEE explores a …

Recent advances in information technology have enabled scientists to generate
unprecedented amounts of earth-related data, with tremendous potential for dealing with …