About Me

Resume - JunHa Song

Juna Song

• 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

• ~ 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
  

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)