Welcome to the VITA lab!
We envision a future where Intelligent Transportation Systems (ITS) are ubiquitous, where self-driving cars, delivery robots, and self-moving Segways are facts of everyday life. Beyond embodied agents, we will also see our living spaces – our homes, terminals, and cities – become equipped with ambient intelligence which can sense and respond to human behavior.
To realize this future, we need to develop socially-aware systems, i.e., systems that can not only perceive human behavior but reason with social intelligence – the ability to make safe and consistent decisions in unconstrained crowded social scenes. Self-driving vehicles must learn social etiquette in order to navigate cities like Paris or Naples. Social robots need to comply with social conventions and obey (unwritten) common-sense rules to effectively operate in crowded terminals. For instance, they need to respect personal space, yield right-of-way, and “read” the behavior of others to predict future actions.
At the VITA lab, we work on the theoretical challenges and practical applications of socially-aware systems, i.e., systems that can perceive the world and reason with social intelligence in the context of transportation problems and smart spaces. Our research is centered around understanding and predicting human social behavior with multi-modal visual data. Our work spans multiple aspects of socially-aware systems:
1- From collecting multi-modal data at scale,
2- Extracting coarse-to-fine grained behaviors in real-time,
3- Designing deep learning methods that can learn to predict human social behavior in a fully data-driven way,
4- To integrating the developed methods in real-world systems such as a vehicle or a socially-aware robot that navigates crowded social scenes.
We have open positions!
Feel free to send your application to firstname.lastname@example.org
We have openings for PhD students and Postdocs (expected background in ML/CV).