About Me

Resume - JunHa Song

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https://www.junhas.com

I’m Junha Song (CV), a second-year MS.D student at KAIST, advised by Prof. In So Kweon. I was a research engineer at HYUNDAI MOBIS (virtual) in 2021 and a research intern at Qualcomm (virtual) in 2022-2023. 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.

Junha Song

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

Research Experiences

• July 2022 - present
  Qualcomm (virtual)
  Research Intern
  Mentors: Sungha Choi
• March 2021 - June 2022
  HYUNDAI MOBIS (virtual)
  Research Engineer
• (ECCV 2022 Submitted) J Song, K Pack, I Shin, S Woo, C Zang, I Kweon. “CD-TTA: Compound Domain Test Time Adaptation for Semantic Segmentation”

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

• B.S Credit
  4.39 / 4.5 (Percent: 98.7/100 | Rank: 2/121 | Major: 4.43)
• TOEIC
  2018.08 - 880 / 990
  2020.08 - 825 / 990
• OPIC
  2020.07 - IH (Intermediate High)
• TOEIC SPEAKING
  2022.01 - 150 (Lv6)

Research Interests

• Test-time Adaptation (on-device learning)
• Self-supervised learning (representation learning)
• Domain Generalization
• 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)
• Fast Campus, lecture planning consultant (2022)

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), Ministry of Science and ICT(과학기술정보통신부), Korea (2021~)

B.S. 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)

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