Biography

Kyle Min is a Staff Research Scientist at Intel Labs, where he leads research in video understanding, efficient multimodal learning, and reliable generative models. He received his Ph.D. in Electrical Engineering and Computer Science from the University of Michigan in 2021, advised by Prof. Jason Corso. At Intel Labs, he led the development of GraVi-T, a graph-based framework for video understanding, achieving top rankings in challenges such as Ego4D, EgoExo4D, and ActivityNet. He has co-authored over ten peer-reviewed publications and received the Distinguished Researcher Award. Kyle is also an active member of the research community, organizing events such as the RBFM workshop (NeurIPS 2024) and the RVLGM tutorial (ICCV 2025), and serving as a reviewer for leading conferences and journals.

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