Human gaze provides valuable information on human focus and intentions, making it a
crucial area of research. Recently, deep learning has revolutionized appearance-based …

Eye gaze analysis is an important research problem in the field of Computer Vision and
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …

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 …

Gaze target detection aims to infer where each person in a scene is looking. Existing works
focus on 2D gaze and 2D saliency, but fail to exploit 3D contexts. In this work, we propose a …

We address the problem of detecting attention targets in video. Our goal is to identify where
each person in each frame of a video is looking, and correctly handle the case where the …

Gaze behaviors such as eye-contact or shared attention are important markers for
diagnosing developmental disorders in children. While previous studies have looked at …

TV shows depict a wide variety of human behaviors and have been studied extensively for
their potential to be a rich source of data for many applications. However, the majority of the …

Interactions between people are often governed by their relationships. On the flip side,
social relationships are built upon several interactions. Two strangers are more likely to …

A major challenge for physically unconstrained gaze estimation is acquiring training data
with 3D gaze annotations for in-the-wild and outdoor scenarios. In contrast, videos of human …

As an essential nonverbal cue, the human gaze reveals human intentions and plays a
crucial role in human daily activities. Therefore, automatic detection of the person's gaze …