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Byungju Kim

Contacts
✉️ peyton.kim@mathpresso.com
✉️ byungju.kim@kaist.ac.kr
✉️ feidfoe@gmail.com

Github/feidfoe
Google Scholar
LinkedIn

Career

Research Scientist

Mathpresso Inc — 10/2020 to Present

Education

Ph.D in Electric Engineering (Biased Learning, Deep Learning)

KAIST, Korea — 8/2020

MS in Electric Engineering (VQA, Deep Learning)

KAIST, Korea — 8/2016

BS in Electric Engineering

KAIST, Korea — 8/2014

Research interest

Large Language Models, Deep Learning, Data Bias, Generative AI

Publications

Conference

Patch-Wise Attention Network for Monocular Depth Estimation

Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, and Junmo Kim
AAAI, 2021.

De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning

Byungju Kim, Hyeong Gwon Hong, and Junmo Kim
WACV, 2021. [paper]

Weight Decay Scheduling and Knowledge Distillation for Active Learning

Juseung Yun, Byungju Kim, and Junmo Kim
ECCV, 2020. [paper]

Collaborative Method for Incremental Learning on Classification and Generation

Byungju Kim, Jaeyoung Lee, Kyungsu Kim, Sungjin Kim and Junmo Kim
ICIP, 2019, p.390-394. [paper] [poster]

Learning Not to Learn: Training Deep Neural Networks with Biased Data

Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim and Junmo Kim
CVPR, 2019, p.9012-9020. [paper] [code]

Highway Driving Dataset for Semantic Video Segmentation

Byungju Kim, Junho Yim and Junmo Kim
BMVC, 2018, p.140. [paper]

Regularization of Deep Network via Latent Subclass Learning

Joochang Kim, Yegang Lee, Byungju Kim, Juseung Yun and Junmo Kim
RiTA, 2017.

Develpment of deep learning-based facial expression recognition system

Heechul Jung, Sihaeng Lee, Sunjeong Park, Byungju Kim, Junmo Kim, Injae Lee, and Chunghyun Ahn
FCV, 2015, doi: 10.1109/FCV.2015.7103729. [paper]

Journal

Adjusting Decision Boundary for Class Imbalanced Learning

Byungju Kim and Junmo Kim
IEEE Access, vol. 8, pp. 81674-81685, 2020, doi:10.1109/ACCESS.2020.2991231. [paper] [code]

Question Aware Prediction with Candidate Answer Recommendation for Visual Question Answering

Byungju Kim and Junmo Kim
Electronics Letters, 2017, 53.18: 1244-1246. [paper]

Patents

International

Method and Device for Learning Neural Network

Junmo Kim, Byungju Kim, Yeakang Lee, Siheang Lee, Minsuk Park, Pyeonghwan Ahn, Jaeyoung Lee
2018-09-06 / PCT/KR2018/010421

Method and Device for Learning Neural Network for Recognizing Class

Junmo Kim, Byungju Kim, Juchang Kim, Yeakang Lee, Minsuk Park, Juseung Yun, Jaeyoung Lee, Donggyu Ju
2018-09-04 / PCT/KR2018/010271

Domestic (KOR)

Electronic device and operating method for generating caption information for a image sequence

Junmo Kim, Minsuk Park, Byungju Kim, Yeakang Lee, Jaeyoung Lee, Siheang Lee, Kyungsu Kim
2019-05-22 / 10-2019-0060221

Method and Device for Learning Neural Network

Junmo Kim, Byungju Kim, Yeakang Lee, Siheang Lee, Minsuk Park, Pyeonghwan Ahn, Jaeyoung Lee
2017-09-08 / 10-2017-0115464

Method and Device for Learning Neural Network for Recognizing Class

Junmo Kim, Byungju Kim, Juchang Kim, Yeakang Lee, Minsuk Park, Juseung Yun, Jaeyoung Lee, Donggyu Ju
2017-09-08 / 10-2017-0115451

Decorrelation Method using Label Smoothing for Deep Branched Network

Junmo Kim, Byungju Kim, Yeakang Lee, Youngsoo Kim
2017-06-13 / 10-2017-0073860