Papers
6
Total Citations
126
H-Index
3
About
Sebastiano Vascon is a leading researcher in computer vision and social signal processing, with a primary focus on detecting and understanding human social interactions from visual data. His most significant contributions center on the automatic detection of conversational groups, or F-formations, in images and video sequences. Vascon pioneered the use of game-theoretic approaches to solve this challenging problem, developing robust methods that model the competitive and cooperative dynamics between individuals to identify who is interacting with whom. His seminal 2015 paper, "Detecting conversational groups in images and sequences: A robust game-theoretic approach," has garnered 61 citations, establishing a foundational framework for the field. He further advanced this line of inquiry with a probabilistic game-theoretic model (51 citations) and by incorporating sociological features for group detection and tracking. More recently, Vascon has extended his expertise to assistive robotics, co-authoring "OpenNav: Efficient Open Vocabulary 3D Object Detection for Smart Wheelchair Navigation" (2025), demonstrating the real-world impact of his work. Through his innovative fusion of game theory and computer vision, Vascon has significantly advanced our ability to automatically interpret complex social scenes, enabling applications in surveillance, human-robot interaction, and social behavior analysis.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Game-Theoretic Probabilistic Approach for Detecting Conversational Groups51 citations · 2015
- 3Group Detection and Tracking Using Sociological Features7 citations · 2017
- 4Detecting conversational groups in images using clustering games3 citations · 2018
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- 6