Hello, I am Gilhan Park, a Ph.D. student in Artificial Intelligence at Sungkyunkwan University, South Korea.
I am a member of the Visual Computing LAB (VCLAB) advised by Prof. Jae-Pil Heo.
My research interests lie in Computer Vision, with a particular focus on Segmentation and Adaptation.
Specifically, I am working on segmentation across 2D visual representations and 3D structural understanding. In addition, I study adaptation methods, including continual learning and few-shot learning, that enable models to flexibly update under new tasks and limited supervision.
If you are interested in research discussions or potential collaborations, please feel free to reach out to me via email.
Research Interests
Segmentation
Adaptation
Video Understanding
Latest
News
Recent milestones, conference updates, and ongoing research progress.
- Mar. 2026
Our paper 'Looking Beyond the Window: Global-Local Aligned CLIP for Training-free Open-Vocabulary Semantic Segmentation' was accepted to CVPR 2026 (Computer Vision and Pattern Recognition, 2026).
- Sep. 2025
Our paper 'Mitigating Semantic Collapse in Partially Relevant Video Retrieval' was accepted to the 39th Conference on Neural Information Processing Systems (NeurIPS 2025).
- Mar. 2025
Continuing my Ph.D. program in Artificial Intelligence at Sungkyunkwan University, conducting research as a member of the Visual Computing Lab (VCLAB).
- Mar. 2025
Receiving continuous support as a Ph.D. scholarship recipient of the Hyundai Motor Chung Mong-Koo Foundation.
Selected Work
Featured Projects
Research papers, applied systems, and demos from lab and industry collaborations.
CVPR 2026
Looking Beyond the Window: Global-Local Aligned CLIP for Training-free Open-Vocabulary Semantic Segmentation
Global-local alignment for training-free open-vocabulary semantic segmentation with stronger cross-window context exchange.
Open project details
NeurIPS 2025
Mitigating Semantic Collapse in Partially Relevant Video Retrieval
Addressing semantic collapse in text and video embeddings for Partially Relevant Video Retrieval
Open project details
ECCV 2024
Mitigating Background Shift in Class-Incremental Semantic Segmentation
Addressing Background Shift in Class-Incremental Semantic Segmentation
Open project details
Background
Education
Academic training and research foundations across artificial intelligence and software.
Mar. 2025
PresentSungkyunkwan University
Ph.D. in Artificial Intelligence
Suwon, South KoreaMar. 2023 - Feb. 2025
Sungkyunkwan University
Master of Engineering in Artificial Intelligence
Suwon, South KoreaGPA: 3.94/4.5
Mar. 2017 - Feb. 2023
Sungkyunkwan University
Bachelor of Science in Computer Science and Education
Seoul, South KoreaGPA: 3.81/4.5
Mar. 2013 - Feb. 2016
Konghang High School
Graduated
Seoul, South Korea
Research Output
Publications
Peer-reviewed work spanning segmentation, continual learning, and partially relevant video retrieval.
- GLA-CLIP
Looking Beyond the Window: Global-Local Aligned CLIP for Training-free Open-Vocabulary Semantic Segmentation
ByeongCheol Lee, Hyun Seok Seong, Sangeek Hyun, Gilhan Park, WonJun Moon, and Jae-Pil Heo
Computer Vision and Pattern Recognition (CVPR), 2026
- MSC
* equal contribution
Mitigating Semantic Collapse in Partially Relevant Video Retrieval
WonJun Moon*, MinSeok Jung*, Gilhan Park, Tae-Young Kim, Cheol-Ho Cho, Woojin Jun, and Jae-Pil Heo
Proceedings of the 39th Conference on Neural Information Processing Systems (NeurIPS 2025)
- MBS
Mitigating Background Shift in Class-Incremental Semantic Segmentation
Gilhan Park, WonJun Moon, SuBeen Lee, Tae-Young Kim, and Jae-Pil Heo
Proceedings of Conference on 2024 IEEE European Conference on Computer Vision (ECCV), Milano, Italy
- GAN
Improving Classification Results on Medical Dataset Augmentation using GAN
Gilhan Park, Jaehwan Lee, Ikgyu Lee, Jisoo Kim, and Jae-Pil Heo
Proceedings of Korea Software Congress, 2022, (KSC 2022)
- CloudParking
Edge Computing Based Cloud Parking Management System
Gilhan Park, Heedong Kim, Serin Yoon, Jaehwan Lee, and Soyeon Jeong
Proceedings of the Korea Information Processing Society Conference. KIPS, 2021
Practice
Experience
Research, industry collaborations, and project work across academic and applied settings.
Jul. 2022
PresentSungkyunkwan University
Researcher, Visual Computing Lab
Suwon, South KoreaConducting research on 2D Segmentation and 3D Segmentation (2D-to-3D Lifting). In parallel, working on Continual Learning and Incremental Learning for building adaptive vision systems.
Oct. 2024 - Nov. 2024
Teaching Assistant for LG Electronics Manufacturing AI Leadership Program
Teaching Assistant
Assisted in the LG Electronics Manufacturing AI Leadership Program by supporting project-based learning and providing guidance on AI methodologies.
Dec. 2021 - Jun. 2022
Sungkyunkwan University
Undergraduate Research Student, CSI Lab
Suwon, South KoreaConducted research on improving the performance of Semantic Segmentation in remote sensing datasets.
Jul. 2021 - Dec. 2021
Smilegate Future Lab
AI Project Contributor, SGM AI Project
Pangyo, South KoreaDeveloped real-time clothing pattern generation and style transfer under the guidance of the Smilegate AI team.
Recognition
Honors & Awards
Scholarships, fellowships, competition results, and invited recognitions.
May. 2023
PresentHyundai Motor Company Chung Mong-koo Scholarship
Selected as a recipient of the Hyundai Motor Chung Mong-koo Foundation Scholarship
Nov. 2024
Qualcomm Innovation Fellowship South Korea 2024
Finalist
Selected as a finalist for the Qualcomm Innovation Fellowship South Korea 2024 with the paper 'QIFK2024_69: Mitigating Background Shift in Class-Incremental Semantic Segmentation.'
Sep. 2022
2nd SKKU AI-SW Education Hackathon
Gold PrizeCodeWithMe: Extracted code images during programming lectures, utilizing a model for Document Understanding, typo correction, and code comprehension
Dec. 2021
Outstanding Paper Award at ACK 2021, Korea Information Processing Society
Outstanding Paper AwardReceived Outstanding Paper Award at the ICT Conference of Korea Information Processing Society (ACK 2021) with the paper 'Edge Computing-Based Cloud Parking Management System'
Dec. 2021
1st SKKU SW-AI Education Capstone Design Competition
Grand PrizeImplemented the game 'Red Light, Green Light' from Netflix's 'Squid Game' using Jetson Nano
Dec. 2021
2021 Hanium Competition
Honorable MentionDeveloped a Korean license plate recognition model using LPRnet and parking automation program
Oct. 2021
1st SKKU AI-SW Education Hackathon
Silver PrizeFocus Maker: A service to measure online learners' concentration index and provide self-feedback
Dec. 2021
Completion of Smilegate AI Membership
Participated in Smilegate AI Membership
Aug. 2021
2021 AI Online Competition
3rd PlaceWon 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
Contact & Locale
Research updates, selected work, and collaboration links.
Copyright (c) 2023 - Present Gilhan Park. All rights reserved.