Best Poster Award
Our poster, titled “Retrieval Augmented Generation for Natural Language Query in Egocentric Videos”,has been selected as the best poster in poster presentation at Mila - Quebec AI Institute.
Omid Reza Heidari
Omid Reza Heidari is pursuing his master’s studies in computer science at Concordia University, advised by Professor Yang Wang. Prior to that, he concluded his undergraduate studies at Islamic Azad University. His area of interest includes Computer Vision, Multimodal Vision-Language, etrieval Augmented Generatio, Multimodal AI Agents, and Natural language processing. Recently, he has been working on building a multimodal retrieval augmented pipeline to address the natural language query (NLQ) task on the egocentric video datasets (e.g., Ego4D).