Minchul.
Hello 👋
I'm Minchul Kim
AI Researcher and Developer
studying in MSU
Featured Works
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.
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.
My name is Minchul Kim. I am a PhD student in the Computer Vision Lab, Department of Computer Science at Michigan State University, working with Dr. Xiaoming Liu. Prior to joining the program, I was a full-time researcher in Lunit, a startup focusing on cancer detection in medical images. I love working on practical problems that change the world for the better.