Towards Scalable and Structured Understanding in Video LLMs
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Overview
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Learn about scalable and structured understanding in Video Large Language Models through this 27-minute keynote presentation delivered by Mohamed Elhoseiny from King Abdullah University of Science and Technology (KAUST), exploring advanced approaches to enhance video comprehension capabilities in artificial intelligence systems and discussing the challenges and solutions for processing and understanding complex video content at scale.
Syllabus
Keynote Talk 2: Mohamed Elhoseiny, KAUST
Taught by
UCF CRCV