About Me

Resume - JunHa Song

I’m Junha Song, a first-year MS.D student at KAIST, advised by Prof. In So Kweon and a research engineer at HYUNDAI MOBIS. Please visit my Git-blog for my research note from which you can see that I am a highly self- motivated student. My research interest lies in the intersection of machine learning and computer vision. I always dream that my research can help many people someday.

Juna Song

• Curriculum Vitae (CV)
• Email : sb020518@gmail.com
• Email : sb020518@kaist.ac.kr
• Git Blog : https://junha1125.github.io
• M.S Candidate of KAIST RCV Lab under Prof. In So Kweon
• Research Engineer of HYUNDAI MOBIS
  

Education

• 2021 ~ Present
  KAIST - Division of Future Vehicle
  RCV Lab under Prof. In So Kweon
  M.S. Candidate
• 2015 ~ 2020
  Kookmin University (Seoul, Korea)
  Department of Automobile and IT Convergence
  B.S.

Official Grade

• University Major Credit
  4.43 / 4.5 (Total College Grade: 4.4/4.5)
• TOEIC
  2018.08 - 880 / 990
  2020.08 - 825 / 990
• OPIC
  2020.07 - IH (Intermediate High)
• TOEIC SPEAKING
  2022.01 - 150 (Lv6)

Research Interests

• Self-supervised learning such as CLIP and MAE
• Test time adaptation for image segmentation
• Reducing the efforts of the human annotator with domain adaptation or active learning But not limited to.

Awards and Honors

• Vehicle monitoring over internet toward digital twins, Honorable Judge Award (Future Transport Design Award), Cloud Programming World Cup, Japan (2019)
• Capstone Awards, The Korean Society of Automotive Engineers, Korea (2019)
• National Science and Engineering Scholarship (Full Tuition), Korea Scholarship Foundation (2018 ~ 2020)

Projects

• Detection of Surrounding Vehicles using Deep Neural Network and Fusion of Panoramic Camera and Lidar Sensor, KOFAC(한국과학창의재단), Korea (2019)
• Satellite image precision object detection, DACON(국방과학연구소), Korea (2020)
• Development of robust segmentation network having environment invariance, HYUNDAI MOBIS(현대모비스), Korea (2021)
• Development of real-time masking/unmasking system for personal video information for public services such as CCTV (CCTV 등 공공서비스용 개인영상정보 실시간 마스킹/언마스킹 시스템 개발, News1, News2), Ministry of Science and ICT(과학기술정보통신부), Korea (2021~)

Research Experiences

• Research Intern at Intelligence and Interaction Lab, Kookmin University (Feb. 2019 ~ Nov. 2019)
• Research Intern at Machine Intelligence Lab, Kookmin University (Dec. 2019 ~ Present)
• Junha Song, et al, “센서 퓨전과 통신을 이용한 차량의 디지털 트윈의 구현”, The Korean Sociey of Automotive Engineers, Korea (2019)
• Myunghak Lee, Junha Song, “Style Transfer Maps from Satellite Images by using Generative Models”, KICS, Korea (2020)
• (ECCV 2022 Submitted) J Song, C Zang, K Pack, I Shin, S Woo, I Kweon. “CD-TTA: Compound Domain Test Time Adaptation for Semantic Segmentation”

Skills

• Programming language: Python, C++
• Machine Learning Librarie: Pytorch, Tensorflow
• Application development: ROS (Robot Operating System)
• Sensor utilization: Camera, RGB-D Camera, LIDAR, GPS/IMU