Biography
Kyle Min is a Principal Applied Scientist at Oracle, working on video generation, multimodal AI, and personalization. Previously, he was a Staff Research Scientist at Intel Labs, where he led work on multimodal learning, reliable AI, and video understanding. He received his Ph.D. from the University of Michigan, advised by Prof. Jason Corso.
Highlights
Technical focus: frontier video generation, multimodal AI, personalization, and reliable AI
Applied AI experience: post-training, customer-driven personalization, production-oriented prototyping, and model improvements
Publications: 15 peer-reviewed conference papers at CVPR, ICCV, ECCV, and NeurIPS, with oral and spotlight recognitions
Service: Area Chair, NeurIPS 2026; AI Expert Committee Member, K-TAG U.S. Chapter
[ Github | LinkedIn | CV | Google Scholar | Publications ]
Research & Work Experience
Research & Work Experience
Oracle
Principal Applied Scientist, 2025-Present
Seattle, WA USA
Develop frontier video generation and multimodal AI systems within Oracle Cloud Infrastructure (OCI)
Drive pretraining, post-training, and customer-driven personalization for enterprise GenAI applications
Develop production-oriented prototypes, customer demos, and model improvements for video generation systems
Intel Labs
Staff Research Scientist, 2021-2025
Santa Clara, CA USA
Led research initiatives in generative AI, multimodal learning, reliable AI, and video understanding
Served as Tech Lead for GraVi-T, a graph-based framework for active speaker detection and audio-visual diarization
Developed methods for text-to-image and text-to-3D diffusion models, VLM enhancement, and video understanding
Led and contributed to challenge-winning video understanding systems for Ego4D, ActivityNet, and AVA
Initiated academic collaborations that led to 10+ publications at top AI and computer vision venues
University of Michigan
Graduate Student Research Assistant, 2017-2021
Ann Arbor, MI USA
Conducted research on video understanding, temporal action localization, egocentric activity recognition, and video saliency prediction
Developed methods published at CVPR, ICCV, and ECCV
Seoul National University
Summer Intern, 2015-2016
Seoul, South Korea
Conducted research on visual question answering and implemented deep learning models for VQA systems
Xeron
Algorithm Developer, 2012-2015
Seoul, South Korea
Developed video analytics algorithms for neonatal monitoring systems in hospital environments
Built an event detection system for the i-LIDS benchmark, certified by the UK Home Office
Professional Service & Leadership
Professional Service & Leadership
Area Chair: NeurIPS 2026
AI Expert Committee Member: Korea Technology Advisory Group (K-TAG), U.S. Chapter (2025–Present)
Organizing Committee Member: RBGM tutorial at ECCV 2024, RBFM workshop at NeurIPS 2024, and RVLGM tutorial at ICCV 2025
Conference Reviewer: CVPR (2021-present), ICCV (2021-present), ECCV (2020-present), NeurIPS (2022-present), ICLR (2022-present), and ICML (2023-present)
Journal Reviewer: IEEE TPAMI (2021-present), IEEE TIP (2021-present), IEEE TMM (2023-present), Pattern Recognition (2021-present), and IEEE Access (2025-present)
Education
Education
University of Michigan
Ph.D. in EECS, 2021 (Advisor: Prof. Jason Corso)University of Michigan
M.S. in EECS, 2018Seoul National University
B.S. in EECS, 2016
Awards & Honors
Awards & Honors
1st place in the EgoExo4D Challenge for Keystep Recognition ($500)
EgoExo4D sponsored by Meta, CVPRW 2025Distinguished Researcher Award ($250)
Intel Labs, 20231st place in the Ego4D Challenge for Audio-Visual Diarization ($3000)
Ego4D sponsored by Meta, ECCVW 20222nd place in the AVA Challenge for Active Speaker Detection
ActivityNet, CVPRW 2022Best Achievement Award of Global Top Talent Forum ($3000)
Hyundai Motor Group, 2019Richard F. and Eleanor A. Towner Prize for Distinguished Academic Achievement ($1000)
University of Michigan, 2018College of Engineering Alumni Association Prize for the best academic achievement ($1000)
Seoul National University, 2016B.S. summa cum laude
Seoul National University, 2016Stipends for outstanding students ($8000)
Korea Foundation for Advanced Studies, 2011-2012National Science & Technology scholarship (Full tuition)
Korea Student Aid Foundation, 2009-2012Scholarship for Distinguished Academic Achievement ($1000)
Samsung Electronics, 2008
Professional Activities
Professional Activities
Invited talk at Chung-Ang University (Seoul, Korea), 2026
Invited talk at Kyung Hee University (Seoul, Korea), 2026
Invited talk at Soongsil University (Seoul, Korea), 2025
Invited talk at SCAI AI Day, Arizona State University (Phoenix, AZ), 2023
Spotlight presentation at Ego4D workshop in CVPR (Vancouver), 2023
Hyundai Global Top Talent Forum - (San Diego, CA), 2019
Poster presentation at Intel Innovation (San Jose, CA), 2022
Student volunteer for ICCV (Seoul, Korea), 2019
Qualcomm IT Tour (San Diego, CA), 2015
LG Global Challenger (England, Sweden, Belgium, Netherlands), 2011
Teaching Experience
Teaching Experience
Graduate Student Instructor, EECS 442 (Computer Vision)
University of Michigan, Fall 2017Freshman adviser, Physics and Mathematics
Seoul National University, Fall 2011
Interests
Interests
Python, MATLAB
PyTorch, PyG
Kubernetes, Slurm
Tennis, Squash, Rock Climbing