Hello there! I’m Gilhan Park, currently a master's student in Artificial Intelligence at Sungkyunkwan University in South Korea. I am a member of Visual Computing LABoratory advised by Prof. Jae-Pil Heo.
My research topic is centered on Computer Vision, specifically Continual Learning, Class-Incremental Segmentation, and Parameter Efficient Fine-Tuning.
If you're interested in my research or would like to engage in a scholarly discussion, please contact me via email.
Research Interests
Continual Learning
Class-Incremental Learning
Segmentation
Parameter Efficient Fine-Tuning
News
Oct. 2024
Attending ECCV 2024 (Milano, Italy) and presenting a poster!🔥
Jun. 2024
'Mitigating Background Shift in Class-Incremental Semantic Segmentation' has been accepted for publication at ECCV, a top-tier computer vision conference!
Selected Projects
Click to see details
Jul. 2024
Mitigating Background Shift in Class-Incremental Semantic Segmentation
Addressing Background Shift in Class-Incremental Semantic Segmentation
Educations
Mar. 2023 - Present
Sungkyunkwan University, Suwon, South Korea
Master of Engineering in Artificial IntelligenceGPA: 3.94/4.5
Mar. 2017 - Feb. 2023
Sungkyunkwan University, Seoul, South Korea
Bachelor of Science in Computer Science and EducationGPA: 3.94/4.5
Mar. 2013 - Feb. 2016
Publications
Mitigating Background Shift in Class-Incremental Semantic Segmentation
Gilhan Park, WonJun Moon, SuBeen Lee, Tae-Young Kim, and Jae-Pil HeoProceedings of Conference on 2024 IEEE European Conference on Computer Vision (ECCV), Milano, Italy
Improving Classification Results on Medical Dataset Augmentation using GAN
Gilhan Park, Jaehwan Lee, Ikgyu Lee, Jisoo Kim, and Jae-Pil HeoProceedings of Korea Software Congress, 2022, (KSC 2022)
Edge Computing Based Cloud Parking Management System
Gilhan Park, Heedong Kim, Serin Yoon, Jaehwan Lee, and Soyeon JeongProceedings of the Korea Information Processing Society Conference. KIPS, 2021
Experiences
July. 2022 - Present
Sungkyunkwan University, Suwon, South Korea
Research Assistant, Visual Computing LabResearching on the topic of Continual Learning, Class-Incremental Learning, Segmentation and Parameter Efficient Fine-Tuning
Dec. 2021 - June. 2022
Sungkyunkwan University, Suwon, South Korea
Undergraduate Research Student, CSI LabConducted research on improving performance of Semantic Segmentation in remote sensing datasets.
July 2021 - Dec 2021
Smilegate Future Lab, Pangyo, South Korea
AI Project Contributor, SGM AI ProjectDeveloped real-time clothing pattern generation and style conversion under the guidance of the Smilegate AI team.
Honors & Awards
May 2023 - Present
Hyundai Motor Company Chung Mong-koo Scholarship
Selected as a recipient of the Hyundai Motor Chung Mong-koo Foundation Scholarship
September 2022
2nd SKKU AI-SW Education Hackathon, Gold Prize
CodeWithMe: Extracted code images during programming lectures, utilizing a model for Document Understanding, typo correction, and code comprehension
December 2021
Outstanding Paper Award at ACK 2021, Korea Information Processing Society, Outstanding Paper Award
Received Outstanding Paper Award at the ICT Conference of Korea Information Processing Society (ACK 2021) with the paper 'Edge Computing-Based Cloud Parking Management System'
December 2021
1st SKKU SW-AI Education Capstone Design Competition, Grand Prize
Implemented the game 'Red Light, Green Light' from Netflix's 'Squid Game' using Jetson Nano
December 2021
2021 Hanium Competition, Honorable Mention
Developed a Korean license plate recognition model using LPRnet and parking automation program
October 2021
1st SKKU AI-SW Education Hackathon, Silver Prize
Focus Maker: A service to measure online learners' concentration index and provide self-feedback
July 2021 - December 2021
Completion of Smilegate AI Membership
Participated in Smilegate AI Membership
August 2021
2021 AI Online Competition, 3rd Place
Won 3rd place in the AI Online Competition hosted by the Ministry of Science and ICT with a model detecting driver negligence behavior for accident prevention
Copyright © 2023 Jiwon Jason Choi. All Rights Reserved.