About Me
I am a product-oriented AI reserach engineer with expertise in data-efficient learning, domain adaptation, video understanding, vision-language langauge model, and multimodal agent. While working in industry, I have published academic papers and received awards at top-tier conferences, including MICCAI, CVPR, WACV, and ICIP. As AI technology continues to evolve and remains fluid, I aspire to be an AI engineer who embraces a research-oriented mindset—exploring new methods and rigorously analyzing performance—while simultaneously employing systematic engineering practices to ensure stability and optimization.
Research Interests
- Multimodal Agent
- Vision-Language Model
- Video Understanding
- Data-Efficient Learning
- Domain Adaptation
Publications
- Deep learning-based surgical phase recognition in laparoscopic cholecystectomy
Authors: Hye Yeon Yang, Seung Soo Hong, Jihun Yoon, et al.
Journal: Annals of Hepato-Biliary-Pancreatic Surgery (AHBPS 2024)
[PDF] - Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss
Authors: Jihun Park, Jiuk Hong, Jihun Yoon, Bokyung Park, Min-Kook Choi, Heechul Jung
Conference: Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024)
[PDF] - Automated Patient-Specific Pneumoperitoneum Model Reconstruction for Surgical Navigation Systems in Distal Gastrectomy
Authors: Saebom Shin, Hye-su Jin, Kyungyoon Jung, Bokyung Park, Jihun Yoon, et al.
Conference: International Workshop on Predictive Intelligence in Medicine (MICCAIW 2024)
[PDF] [Project Page] - SP-NAS: Surgical Phase Recognition-Based Navigation Adjustment System for Distal Gastrectomy
Authors: Hyeongyu Chi, Bogyu Park, Keunyoung Kim, Jiwon Lee, Sungjae Kim, Hyeonu Jeong, Jihun Yoon, et al.
Conference: International Workshop on Applications of Medical AI (MICCAIW 2024)
[PDF] [Project Page] - Exploring video frame redundancies for efficient data sampling and annotation in instance segmentation
Authors: Jihun Yoon, Min-Kook Choi
Conference: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2023)
[PDF] [Code] - Rethinking Soft Label in Label Distribution Learning Perspective
Authors: Seungbum Hong, Jihun Yoon, Bogyu Park, Min-Kook Choi
Preprint: arXiv preprint arXiv (arXiv 2023)
[PDF] - Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment
Authors: Jihun Yoon et al.
Conference: Medical Image Computing and Computer-Assisted Intervention (MICCAI 2022)
[PDF] [Project Page] - Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks
Authors: Seungbum Hong, Jihun Yoon, Min-Kook Choi, Junmo Kim
Conference: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2022)
[PDF] [Code] - hSDB-instrument: instrument localization database for laparoscopic and robotic surgeries
Authors: Jihun Yoon et al.
Conference: Medical Image Computing and Computer Assisted Intervention (MICCAI 2021)
[PDF] [Project Page] - Semi-supervised object detection with sparsely annotated dataset
Authors: Jihun Yoon, Seungbum Hong, Min-Kook Choi
Conference: IEEE International Conference on Image Processing (ICIP 2021)
[PDF] - Semi-supervised learning for instrument detection with a class imbalanced dataset
Authors: Jihun Yoon, Jiwon Lee, SungHyun Park, Woo Jin Hyung, Min-Kook Choi
Conference: International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (MICCAIW 2020)
[PDF] - Real-time optical flow estimation on embedded system
Authors: Jihun Yoon, Min-Kook Choi, Sangchul Lee
Conference: 28th Workshop on Image Processing and Image Understanding (IPIU 2016)