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
Research & Work Experience
Intel Labs
Staff Research Scientist AI/ML, 2021-present
Santa Clara, CA USA
Currently working on developing visual algorithms
Led the project of GraVi-T, which is an advanced graph learning framework for efficient video understanding
Led the project on sparse video representations and published multiple research papers
Won several challenges, including Ego4D and ActivityNet
University of Michigan
Graduate Student Research Assistant, 2017-2021
Ann Arbor, MI USA
Conducted research on video understanding and spatiotemporal action detection
Developed 3D object detection algorithms using deep learning that use a sequence of images and LiDAR points for the group project in course EECS 599: Self-driving cars
Performed research on automatic image colorization with GAN for the group project in course EECS 545: Machine learning
Developed standalone executable programs for evaluating various video segmentation algorithms for DARPA's Media Forensics (MediFor) project teams
Seoul National University
Summer Intern, 2015-2016
Seoul South Korea
Performed research on VQA and implemented multiple deep learning algorithms for high-performing VQA systems
Xeron
Video Analytics Algorithm Developer, 2012-2015
Seoul South Korea
Developed video analytics algorithms for the monitoring system of the hospital's neonatal units that detect potentially dangerous situations
Developed multiple video analytics algorithms and built a state-of-the-art event detection system for the i-LIDS benchmark, which was certified by UK Home Office
Publications
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models
Advances in Neural Information Processing Systems Workshops (NeurIPSW), 2023
Changhoon Kim*, Kyle Min*, Maitreya Patel, Sheng Cheng, Yezhou Yang (*: equal contribution)
[ paper ]STHG: Spatial-Temporal Heterogeneous Graph Learning for Advanced Audio-Visual Diarization
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Kyle Min
[ tech report | code ]SViTT: Temporal Learning of Sparse Video-Text Transformers
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Yi Li, Kyle Min, Subarna Tripathi, Nuno Vasconcelos
[ paper | code ]Unbiased Scene Graph Generation in Videos
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Sayak Nag, Kyle Min, Subarna Tripathi, Amit K Roy-Chowdhury
[ paper | code ]Intel Labs at Ego4D Challenge 2022: A Better Baseline for Audio-Visual Diarization
European Conference on Computer Vision Workshops (ECCVW), 2022
Kyle Min
[ tech report | code ]Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection
European Conference on Computer Vision (ECCV), 2022
Kyle Min*, Sourya Roy*, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar (*: equal contribution)
[ paper | code | poster | presentation ]Intel Labs at ActivityNet Challenge 2022: SPELL for Long-Term Active Speaker Detection
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022
Kyle Min, Sourya Roy, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar
[ tech report | presentation ]Integrating Human Gaze into Attention for Egocentric Activity Recognition
IEEE Winter Conference on Applications of Computer Vision (WACV), 2021
Kyle Min, Jason J. Corso
[ paper | code | presentation ]Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization
European Conference on Computer Vision (ECCV), 2020
Kyle Min, Jason J. Corso
[ paper | code | poster | presentation ]
Awards and Honors
1st 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
Teaching Experience
Graduate Student Instructor, EECS 442 (Computer Vision)
University of Michigan, Fall 2017Freshman adviser, Physics and Mathematics
Seoul National University, Fall 2011
Professional Activities
Reviewer for CVPR / ICLR / ICML, 2024
Reviewer for two manuscripts of IEEE TIP, 2023-2024
Reviewer for two manuscripts of IEEE TMM, 2023-2024
Reviewer for CVPR / ICCV / ICLR / ICML / NeurIPS, 2023
Reviewer for CVPR / ECCV / ICLR / NeurIPS, 2022
Reviewer for manuscripts of IEEE TPAMI / Pattern Recognition, 2021
Reviewer for CVPR / ICCV, 2021
Reviewer for ECCV, 2020
Invited talk for the SCAI AI Day at Arizona State University (Phoenix, AZ), 2023
Spotlight presentation at Ego4D workshop in CVPR (Vancouver), 2023
Hyundai Global Top Talent Forum - (San Diego, CA), 2019
Other Activities
Poster presentation at Intel Innovation (San Jose, CA), 2022
Poster presentation at EECS Homecoming Luncheon, 2019
Student volunteer for ICCV (Seoul, Korea), 2019
Video demo at ECE Open House, 2019
Qualcomm IT Tour (San Diego, CA), 2015
LG Global Challenger (England, Sweden, Belgium, Netherlands), 2011
And...
Python, MATLAB, C++
PyTorch, PyG, Tensorflow, NLTK, Gensim
Kubernetes, Azure, Slurm
Jiu Jitsu, Squash, Rock Climbing