Introduction

Hi. I am Sungmin Cha and a Ph.D student in M.IN.D Lab, SungKyunKwan University.

Education

• Ph.D [2018.3 ~ Current]
  Department of Electronic, Electical & Computer Engineering
  SungKyunKwan University(SKKU)

• MS [2016.3 ~ 2018.2]
  Department of Information and Communication Engineering
  Daegu Gyeongbuk Institute of Science and Technology(DGIST)

• BS [2009.3 ~ 2016.2]
  Department of Computer Engineering
  Pukyoung National University(PKNU)

Research Topics

• Machine Learning and Deep Learning
• Continual Learning
• Image Denoising using Deep Learning

Papers

Preprint

Interpreting machine learning models in neuroimaging: Towards a unified framework
Lada Kohoutova, Juyeon Heo, Sungmin Cha, Taesup Moon, Tor D. Wager and Choong-Wan Woo
Under review

GAN2GAN: Generative noise learning for blind image denoising with single noisy images
Sungmin Cha, Taeeon Park and Taesup Moon
Under reivew

Supervised Neural DUDE for adaptive discrete denoising
Sungmin Cha, Seonwoo Min, Sungroh Yoon and Taesup Moon
Under review

Conference

[C4] Uncertainty-based continual learning with adaptive regularization
Hongjoon Ahn, Sungmin Cha, Donggyu Lee and Taesup Moon
Proceedings of Neural Information Processing Systems (NeurIPS), December 2019

[C3] Fully Convolutional Pixel Adaptive Image Denoiser [Code]
Sungmin cha and Taesup Moon
International Conference on Computer Vision (ICCV), November 2019

[C2] DoPAMINE: Double-sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling (Oral)
Sunghwan Joo, Sungmin Cha, and Taesup Moon
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), Febrary 2019

[C1] Neural adaptive image denoiser
Sungmin Cha and Taesup Moon
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2018

Journal