Projects
Our research efforts focus on developing methods to better localize robots and humans together, and approaches for leveraging spatial intelligence and the sensing capabilities of Mixed Reality devices to enable easier, safer, and more effective human-robot interaction.
Established:
In recent years, there has been tremendous progress in video understanding and action recognition. Current algorithms can reliably recognize the action the subject is performing in many unconstrained settings from third person viewpoints. Egocentric action recognition, however, trails behind the…
Established:
In this project, we have developed a new 6-DoF camera localization technique that conceals the content of the query image when localization is performed in a cloud-based service. In this way, we enhance the user's privacy. This is a follow…