About Me

Resume - JunHa Song

img

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

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

© All rights reserved By Junha Song.