Dynamic Scene Graphs for Extracting Activity-based Intelligence
The primary objective of this project is to explore a dynamic learning framework that effectively extracts ABI in various highly complicated mission operations.
Generalized Visual Forecasting
Seeing into the future is one of the most appealing powers, featured in hundreds of movies and books. In this project, we plan to focus on the visual surveillance domain, and create a group of computational algorithms for visual prediction in uncontrolled scenarios.
A Multimodal Dynamic Bayesian Learning Framework for Complex Decision-making
The overall goal of this project is to explore a multimodal dynamic Bayesian learning framework to facilitate complex decision-making in various highly complicated scenarios and tasks.
