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FEELGYUN OH (pil--kyu--eun--oh) MAJOR : Computer Science University of Colorado, Boulder 1475 Folsom St., Boulder, Colorado, US, 80302

Personal Data

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1985.08.24 Born in Seoul, South Korea

Email: feelgyun.oh@colorado.edu

Github : https://github.com/feelopk

Education

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Aug.2020 ~ Present : University of Colorado, Boulder

Major in Computer Science (MSCPS)

Mar.2004 ~ Feb.2011 Ajou University, South Korea

Major in Mechanical Engineering

Research Interest

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• Data Science
  • image Object Detection
  • Vot
  • Semantic/Instance Segmentation[;]
  • Super Resolution
• Machine Learning / Deep Learning
  • GAN
  • Few-Shot Learning
  • Meta Learning

Project

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• Visual Object Tracking Using Plenoptic Image Sequences

과학기술정보통신부-한성대 프로젝트 : 학부생 인턴

Lightfield 영상에서의 Siamease Network를 이용한 단일 객체 추적

• FPV Swlf-driving RC Car

VR 헤드셋을 통해 FPV 카메라에서 보내는 실시간 영상을 받으며 일반인들에게 조금더 쉽고 안전하게 자율주행을 체험해보는 프로젝트 수행

• Anti Drone AI Robot using object detection

SSD를 활용한 드론 탐지프로그램으로 라즈베리파이와 3D프린터를 이용해 만든 로봇이 드론을 인식하고 pan and tilt모터 체계를 이용하여 드론 트래킹

• AI Mashroom Classificator App

mobileNet을 이용한 classification으로 버섯을 구별해주는 인공지능 버섯 도감 어플로서 독버섯 채취 및 섭취 방지를 위한 어플

Awards

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**The 15th HANSUNG Engineering Competitive Exhibition[PM] 2019

• BRONZE PRIZE, SPONSOR PRIZE

**HANSUNG UNIVERSICY C&C FESTIVAL[PM] 2020

• BRONZE PRIZE

**The 16th HANSUNG Engineering Competitive Exhibition[PM] 2020

• SILVER PRIZE , - BRONZE PRIZE

2020년 공개SW 개발자 대회(주최:과학기술정보통신부, 주관:정보통신산업진흥원) [PM] 2020

BRONZE PRIZE

Work Experiences

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-2020. 07 – 2020. 11 Visual Object Tracking Using Plenoptic Image Sequences,

Hansung Univ – ETRI

https://github.com/khw11044/PlenOpticVot_Siamfc_2020

Skills and Certification

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-Language : Python, C/C++

-FrameWork: Pytorch, Tensorflow(Keras)

-Certification : CCNA, Internet of Things Knowledge Certification

Patents

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【발명의 영문명칭】: Image-based anti-drone detection device and metohd using deep learning model

【출원번호】: 10-2020-0080646

【출원인】: 김현우, 김태현, 제진명