Being able to map the activities of others into one's own point of view is one fundamental
human skill even from a very early age. Taking a step toward understanding this human …

Throughout history, we have successfully integrated various machines into our homes.
Dishwashers, laundry machines, stand mixers, and robot vacuums are a few recent …

Abstract We introduce the Aria Digital Twin (ADT)-an egocentric dataset captured using Aria
glasses with extensive object, environment, and human level ground truth. This ADT release …

We introduce SceneScript, a method that directly produces full scene models as a sequence
of structured language commands using an autoregressive, token-based approach. Our …

In this paper we present EgoLifter, a novel system that can automatically segment scenes
captured from egocentric sensors into a complete decomposition of individual 3D objects …

We investigate exocentric-to-egocentric cross-view translation, which aims to generate a first-
person (egocentric) view of an actor based on a video recording that captures the actor from …

In the realm of robotics, the quest for achieving real-world autonomy, capable of executing
large-scale and long-term operations, has positioned place recognition (PR) as a …

We present SimXR a method for controlling a simulated avatar from information (headset
pose and cameras) obtained from AR/VR headsets. Due to the challenging viewpoint of …

While effective for recording and sharing experiences, traditional in-context writing tools are
relatively passive and unintelligent, serving more like instruments rather than companions …

Human activities are inherently complex, often involving numerous object interactions. To
better understand these activities, it is crucial to model their interactions with the …