About Me

Resume - JunHa Song

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Juna Song

Education

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

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
    2021.02 - Lv6 (130)

Research Interests

  • Data hungry problem
  • Performance decrease of domain change
  • 3D Recognition, Depth Perception, 3D Object Detection

SO…

  • domain adaptation
  • self-supervise learning
  • semi-supervise learning
  • 3D object detection
  • 2D Image Segmentation with Stere, Lidar sensor
  • Reinforcement Learning (hobby)

But not limited to.

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)

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 real-time masking/unmasking system for personal video information, National Research Foundation of Korea(한국연구재단) , Korea (2021)
  • Development of robust segmentation network having environment invariance, HYUNDAI MOBIS(현대모비스), Korea (2021)

Skills

  • Python
  • C++
  • Pytorch, Tensorflow
  • Expertise about Deep Learning
  • ROS (Robot Operating System)
  • Sensor Utilization (Camera, RGB-D Camera, LIDAR, GPS/IMU)

© All rights reserved By Junha Song.