About Me
Hi, I’m Jongha Kim, a M.S & Ph.D. integrated student at Machine Learning and Vision Lab (MLV) in Korea University, under the supervision of Prof. Hyunwoo J. Kim. I received my B.S. degree in Computer Science and Engineering & Statistics (double-major) in Korea University at Aug. 2022. My research interest includes:
- Computer Vision
- Graph Neural Networks (GNNs)
I love playing guitar 🎸 and eating dakgalbi 🐓. This is my CV.
Education
M.S. & Ph.D. Integrated in Artificial Intelligence Applications at Korea University
Sep. 2022 - CurrentB.S. in Computer Science and Engineering & Statistics(Double-major) at Korea University
Mar. 2018 - Aug. 2022
GPA : 4.22 / 4.5 (Major GPA : 4.25 / 4.5)
International Conference Publications
* denotes equal contribution
Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection
[paper] [code]
Jongha Kim*, Jihwan Park*, Jinyoung Park*, Jinyoung Kim, Sehyung Kim, Hyunwoo J. Kim
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024.Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification
[paper]
Injae Kim*, Jongha Kim*, Joonmyung Choi, Hyunwoo J. Kim
MedAGI Workshop at International Conference on Medical Image Computing and Computer-Assisted Intervention (MedAGI@MICCAI) 2023 (Oral Presentation).Object Detection in Aerial Images with Uncertainty-Aware Graph Network
[paper]
Jongha Kim, Jinheon Baek, Sung Ju Hwang
VOLI Workshop at European Conference on Computer Vision (VOLI@ECCV) 2022.
Domestic Conference Publication
- A study on the Measurement System of Apple Sugar Content Based on Smartphone Camera
Sanghoon Lee, Jongha Kim, Hyemin Song and Hyun Kim
Autumn Annual Conference of IEIE(The Institute of Electronics and Information Engineers) 2019
Research Experience
- MLAI Lab
Undergraduate Research Intern at MLAI lab at KAIST under supervision of Prof. Sung Ju Hwang.
Jun. 2021 - Jul. 2022
Work Experiences
- Upstage AI
Mentor of Computer Vision team of BoostCamp AI Tech 3rd course of Upstage AI. - Upstage AI
Mentor of Computer Vision team led by Prof. Tae Hyun Oh in BoostCamp AI Tech 2rd course of Upstage AI. - Upstage AI
Teaching assistance of Computer Vision team led by Prof. Tae Hyun Oh in BoostCamp AI Tech 2rd course of Upstage AI. - VoyagerX
Deep learning developer intern of a mobile scanner vFlat. team at a startup VoyagerX. - Software Maestro
Developed a moblie application DalDang as a 10’th trainee at Software Maestro.
Domestic Patents
Method for measuring sugar content of apple using image.
Sanghoon Lee, Hyemin Song, Jongha Kim
Korea Patent No.10-2242155, registrated at Apr 14, 2021.Information providing method and system for sharing fruit information including sugar content information measured through image vision processing.
Sanghoon Lee, Hyemin Song, Jongha Kim, Hyun Kim
Korea Patent Application No.10-2020-0153010.
Invited Talks
Korea University & LG AI Workshop
Korea University
February, 2023.Defining and solving problems in deep learning projects
BoostCamp AI Tech 2nd course
Nov 16, 2021.
Awards & Scholarships
Graduate School Outstanding Freshman Scholarship, Korea University
Scholarship awarded to an outstanding freshman in graduate school.
Sep. 2022Dean’s List, Korea University
Award given to a undergraduate student with perfect GPA (4.5/4.5) for a semester.
Spring 2019Semester High Honors, Korea University
Award given to a undergraduate student with high GPA (over 4.0/4.5) for a semester.
Fall 2018, Spring 2019, Fall 2019, Spring 2020, Spring 2021, Fall 20212020 Agrifood Public Big Data Startup Competition, Korea Rural Development Administration
2nd place in competition, with Fruit harvesting and sugar content measurement platform using smartphones.
Aug 5, 2020National Scholarship for Science and Engineering, Korea Student Aid Foundation
This scholarship supports undergraduates with strong academic performance in science and engineering, with the purpose of developing future leaders in those fields.
Mar. 2018 - Aug. 2022
Languages
- Korean, Navite Speaker
- English, TEPS : 525 / 600 (Near-native level)