Visual Language Models

Towards Scalable and Structured Understanding in Visual LLMs

Mohamed Elhoseiny, Associate Professor, Computer Science

Feb 23, 12:00 - 13:00

B9 L2 R2325

LLM Visual Language Models VLMs visual computing

In this talk, we explore a suite of recent advances toward scalable, structured video comprehension using Large Vision Language Models (Video LLMs).

Andres Villa

Postdoctoral Research Fellow

Continual Learning Multimodal learning Visual Language Models AI4Science Action understanding

Andres Villa is a Postdoctoral Fellow in the IVUL lab at King Abdullah University of Science and Technology (KAUST), focusing on AI for Science, Continual Learning, Visual Language Models, and Action Understanding.