Minchul.
I'm Minchul Kim
AI Researcher pursuing my studies at
Michigan State University
Featured Works
KeyPoint Relative Position Encoding (KPRPE) for Face Recognition
Minchul Kim, Yiyang Su, Feng Liu, Anil Jain, Xiaoming Liu, Published in CVPR2024
Token Fusion: Bridging the Gap between Token Pruning and Token Merging
Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Published in WACV2024
DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
Minchul Kim, Feng Liu, Anil Jain, and Xiaoming Liu, Published in CVPR2023
Cluster and Aggregate: Face Recognition with Large Probe Set
Minchul Kim, Feng Liu, Anil Jain, and Xiaoming Liu, Published in NeurIPS2022
Controllable and Guided Face Synthesis for Unconstrained Face Recognition
Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu, Published in ECCV2022
AdaFace: Quality Adaptive Margin for Face Recognition
Minchul Kim, Anil K Jain, and Xiaoming Liu, Published in CVPR2022 (Oral)
Publications.
Open-Set Biometrics: Beyond Good Closed-Set Models
Yiyang Su, Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu, ECCV, Milano, Italy, 2024
KeyPoint Relative Position Encoding (KPRPE) for Face Recognition
Minchul Kim, Yiyang Su, Feng Liu, Anil Jain, Xiaoming Liu, CVPR, Seattle, Washington, June, 2024
TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process
Zhiyuan Ren, Minchul Kim, Feng Liu, Xiaoming Liu, CVPR, Seattle, Washington, June, 2024
Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation
Feng Liu, Minchul Kim, Zhiyuan Ren, Xiaoming Liu, CVPR, Seattle, Washington, June, 2024
Token Fusion: Bridging the Gap between Token Pruning and Token Merging
Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin, WACV, Waikoloa, Hawaii, Jan, 2024
FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude
Feng Liu, Minchul Kim, ..., Arun Ross, Anil Jain, Xiaoming Liu, WACV, Waikoloa, Hawaii, Jan, 2024
Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification
Feng Liu, Minchul Kim, ZiAng Gu, Anil Jian, Xiaoming Liu, ICCV, Paris, France, Oct. 2023
DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu, CVPR Vancouver Canda, June. 2023
Cluster and Aggregate: Face Recognition with Large Probe Set
Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu, NeurIPS New Orleans, LA, Nov. 2022
Controllable and Guided Face Synthesis for Unconstrained Face Recognition
Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu, ECCV, Tel-Aviv, Israel, Oct. 2022
AdaFace: Quality Adaptive Margin for Face Recognition (Oral, Top4%)
Minchul Kim, Anil Jain, Xiaoming Liu, CVPR, New Orleans, LA, Jun. 2022
Learning Visual Context by Comparison (Spotlight, Top5%)
Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo, ECCV, Aug. 2020
Hamiltonian Markov chain Monte Carlo for partitioned sample spaces with application to Bayesian deep neural nets
Minchul Kim, Jaeyong Lee Journal of the Korean Statistical Society 49.1 (2020): 139-160 (SCIE)
About.
Hi! I am Minchul Kim, a PhD student in the Computer Vision Lab at Michigan State University, where I am fortunate to work with brilliant Dr. Xiaoming Liu. Before diving into the world of academia, I was a full-time researcher at Lunit, a cutting-edge startup helping to fight cancer using AI. I am passionate about solving real-world problems that can make a positive impact! In a nutshell: I love what I do, especially when it is making a difference.