We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It
offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household …

Building a robot that can understand and learn to interact by watching humans has inspired
several vision problems. However, despite some successful results on static datasets, it …

We present a comprehensive framework for egocentric interaction recognition using
markerless 3D annotations of two hands manipulating objects. To this end, we propose a …

We propose to forecast future hand-object interactions given an egocentric video. Instead of
predicting action labels or pixels, we directly predict the hand motion trajectory and the …

We present a unified framework for understanding 3D hand and object interactions in raw
image sequences from egocentric RGB cameras. Given a single RGB image, our model …

Information technologies in general and artifical intelligence (AI) in particular try to shift
operational task away from a human actor. Machine learning (ML) is a discipline within AI …

Purpose In the most abstract way, artificial intelligence (AI) allows human work to be shifted
toward technological systems that are currently not fully capable. Following this, the domain …

Predicting the future location of vehicles is essential for safety-critical applications such as
advanced driver assistance systems (ADAS) and autonomous driving. This paper introduces …

Egocentric videos can bring a lot of information about how humans perceive the world and
interact with the environment, which can be beneficial for the analysis of human behaviour …

Abstract Although First Person Vision systems can sense the environment from the user's
perspective, they are generally unable to predict his intentions and goals. Since human …