Mutual Gaze Detection

Mutual gaze detection, the identification of when two or more individuals are looking at each other, is a crucial area of research for understanding social interactions. Recent work focuses on developing single-stage, end-to-end models, such as transformer-based architectures, to improve both accuracy and efficiency compared to previous two-stage approaches. These advancements aim to simultaneously detect individuals and their gaze direction, streamlining the process and enabling faster, more robust analysis of social dynamics in images and videos. This improved technology has significant implications for fields like human-computer interaction, social psychology, and the development of more natural and intuitive AI systems.