About Me
Highly motivated on learning new things related with deep learning. Currently interested in example difficulty and dataset construction.
Currently, I’m working as
- full-time AI researcher in ActionPower
- computer vision & deep learning seminar, study team leader in PoolC
Education
Language
Korean
Mother Tongue
English
Fluent
- TOEIC 840 (LC 435, RC 405) on 2022.02.20.
- OPIc IM2 on 2020.04.08.
Work Experience
- Research Field 1. Dataset Construction
- Research Field 2. Code-Switching ASR (Korean/English)
- Research Field 1. Learning General Representation on Pathology Images
- Research Field 2. Self-supervised Learning on Pathology Images
- Research Field 1. OCR with Low-quality Labels
- Research Field 2. Augmentation for Detection & Classification
- Research Field 3. Table Recognition and Data Preprocessing
- Research Field 1. Fashion Image Retrieval
- Research Field 2. Fashion Image Multi-label Tagging
- Research Field 1. Learning General Representation on Noisy Image Dataset
- Research Field 2. Music Genre Classification with Meta Information
- Research Field 1. Rotated Image Generation
- Research Field 2. Subword Tokenizer for Korean
Lab Experience
- Research Field 1. Research on Measuring Example Difficulty
- Research Field 2. Research on Last Layer Re-training on Extreme Dataset (class imbalance, spurious correlation, label noise)
- Research Field 1. Research on Learning De-biased Representation from Biased Dataset
- Research Field 2. Research on Out-of-Distribution Detection
Visual Intelligence Lab
Research Intern
2021.06 - 2021.11
https://sites.google.com/yonsei.ac.kr/vi-lab/
- Research Field 1. Research on GAN Detection
- Research Field 2. Research on Self-supervised Learning
- Research Field 1. Research on Person Re-Identification
- Research Field 2. Research on Pedestrian Attribute Recognition
SEVERANCE Hospital
Undergraduate Intern
2020.04 - 2020.06
https://sev.severance.healthcare/sev/index.do
- Worked under Professor Ahn
- Paper Published on Neuroradiology 2021
- Research Field 1. X-ray Image Joint Detection
- Research Field 2. Brain Tumor Image Segmentation and Classification
- Research Field 1. SEPSIS Prediction
- Research Field 2. Autonomous Driving for Mobile Robot
Competitions
- Review image scoring
- Face age prediction
- 1st place on Final Competition, KB insurance task
- 1st place on Preliminary Competition
- Check competition information, tasks and source codes from github
- GAN detection
- NAVER Smartstore spam image filtering
- Top-rank and join as intern
- 1st place as university
- Top-view mobile 2D shooting game with Unity
- 2nd place as team
- Mobile 2D shooting game with Unity
Other Activities
PoolC
Computer Vision & Deep Learning Seminar and Study Team Lead
2017.03 - present
https://poolc.org/
Mandatory Military Service
ROKAF 10th Fighter Wing, MP
2015.01 - 2017.01