- I am a M.S. student in the Data Engineering Lab at Yonsei University, advised by Prof. Sanghyun Park.
- My current research interests include deep learning, video anomaly detection and medical image segmentation.
- I obtained my Bachelor's degree in Computer Science at The Catholic Univerity of Korea with Magna Cum Laude.
Researcher (2023.03 ~ present)
Intern Researcher (2022.03 ~ 2023.02)
Yonsei Univ. Dept of Computer Science
- Visual Tracking
- Video Anomaly Detection
- Medical Image Segmentation
Undergraduate Researcher (2021.06 ~ 2022.02)
Catholic Univ. Dept of Media Technology & Media Contents
- Object Detection
- Image Processing
International Papers
- [SCIE] Seungkyun Hong*, Sunghyun Ahn*, Youngwan Jo, and Sanghyun Park. (*equally contributed) "Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and Destroyer" IEEE Access (2024): 36712-36726. (IF: 3.9, JCR: Q2) [View]
- Seungkyun Hong*, Sunghyun Ahn*, Youngwan Jo, and Sanghyun Park. (*equally contributed) "Dual Stream Fusion U-Net Transformers for 3D Medical Image Segmentation" IEEE International Conference on Big Data and Smart Computing (BigComp) 2024, regular paper, Feb 2024. [View]
Domestic Papers
- 이기정, 안성현, 김현진 and 박상현. "FFAE: 비디오 이상 탐지를 위한 비디오 프레임 전처리 및 특징 융합 방법" 한국정보과학회 학술발표논문집 (2023): 526-528. [View]
- 안성현, 김환희, 권세인 and 박상현. "C-Swin UNETR: 3D 의료 영상 분할을 위한 채널 어텐션이 적용된 Swin Transformer." 한국정보과학회 학술발표논문집 (2023): 787-789. [View]
- 안성현, 조영완, and 박상현. "다중 객체 비디오에서의 어텐션 기반 단일 객체 추적 모델 연구." 한국정보과학회 학술발표논문집 (2022): 628-630. [View]
International Patent
- Seungkyun Hong, Sunghyun Ahn, Youngwan Jo, and Sanghyun Park. "Image segmentation method using dual attention and the device utilizing it." ID: PCT/KR2023/020370 (2023). [View]
Domestic Patent
Main Projects
Yonsei University College of Computing
- 단기 강의. "데이터베이스시스템응용 (CSI8782.01-01)" (2024) [View]
- 수업 조교. "컴퓨터과학입문 (CSI2106.01-00)" (2023~2024)
Yonsei Graduate School of Engineering
- 수업 조교. "딥러닝기반이상탐지모델링 (GEK6207.01-00)" (2023) [View]
- 가톨릭대학교 캡스톤디자인 경진대회 [자연/공학/융합 부문] 대상
- 가톨릭대학교 우등상 [Magna Cum Laude]
- 대학생 금융보안캠프 아이디어 경연대회 TOP 9
E-mail: [email protected], CV: view
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