Samy Tafasca

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About

Samy Tafasca is a researcher advancing the field of computer vision, with a primary focus on modeling human social behavior through gaze analysis. His key research areas include gaze following, multi-person interaction modeling, and the application of transformer architectures to understand non-verbal communication. Tafasca’s major contribution is the development of *Sharingan*, a novel transformer-based architecture designed for multi-person gaze following. This work addresses the complex challenge of predicting where individuals are looking in a scene, a task critical for applications in robotics, human-computer interaction, and sociology. His most-cited paper, “Sharingan: A Transformer Architecture for Multi-Person Gaze Following” (2024), has already garnered 19 citations, demonstrating its early impact and relevance in the field. By leveraging the power of transformers, Tafasca’s research enables more accurate and scalable models of gaze behavior, moving beyond single-person scenarios to capture the dynamics of social interactions. His work represents a significant step toward creating machines that can better interpret and respond to human social cues, with potential implications for assistive technologies, autonomous systems, and behavioral studies.