About
Hyukjin Kim
M.S. Candidate, Computer Vision Lab, Yonsei University
Student Researcher at Visual Intelligence Group, KIST
I am an M.S. candidate in the Computer Vision Lab at Yonsei University, advised by Prof. Bumsub Ham. My research interests center on person re-identification, multimodal learning, vision-language models, and open-vocabulary object detection.
I received my B.S. in Electrical & Electronic Engineering from Yonsei University (after transferring from Inha University). As an undergraduate I built a wide range of deep-learning projects — from an award-winning open-vocabulary object detector to self-supervised representation learning. A selection is below, with the full list on the projects page.
Current research
My research interests focus on Multimodal Learning and Person Re-identification (ReID): - Multimodal Learning: Cross-modal representation learning and vision-language alignment.
- Person Re-ID: Robust representation learning to overcome severe pose variations.
Research keywords
Person ReID Multimodal Learning Vision-Language Models Open-Vocabulary Object Detection Deep Learning
Sep 01, 2025
Began my M.S. studies at the Computer Vision Lab, Yonsei University.
Update
Aug 18, 2025
Graduated with a B.S. in Electrical & Electronic Engineering from Yonsei University.
Update
Nov 01, 2024
🏆 Received 3rd place, Most Popular Award at the EE-Festival for my graduation research on improving open-vocabulary object detection.
Award
Feb 01, 2024
Received the Academic Excellence Award from Yonsei University (2023 Fall semester).
Award
- CVPRWLook Closer: Action-Guided Dense Visual Dynamics for Proficiency EstimationIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW): Multimodal Human Motion Analysis, 2026Accepted (Pitch & Poster presentation)
- Coursework
- Coursework