Minkyu Choi, Harsh Goel, Mohammad Omama, Yunhao, Yang, Sahil Shah, and Sandeep Chinchali
European Conference on Computer Vision (ECCV), 2024

Recent advances have enabled diffusion models to efficiently compress videos while maintaining high visual quality. By storing only keyframes and using these models to interpolate frames during playback, this method ensures high fidelity with minimal data. The process is adaptive, balancing detail retention and compression ratio, and can be conditioned on lightweight information like text descriptions or edge maps for improved results.

Thayne T. Walker, Jaime S. Ide, Minkyu Choi, Michael John Guarino, and Kevin Alcedo.
International Conference on Control, Decision and Information Technologies (CoDit), 2023

The coordination of multiple autonomous agents is essential for achieving collaborative goals efficiently, especially in environments with limited communication and sensing capabilities. Our recent study, presented at CoDIT 2023, explores a novel method to tackle this challenge. We introduce Multi-Agent Reinforcement Learning with Epistemic Priors (MARL-EP), a technique that leverages shared mental models to enable high-level coordination among agents, even with severely impaired sensing and zero communication.