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AI Researcher at UNIST AIGS
Junsu Kim
Combined MS-PhD student building open-world perception systems across computer vision, continual learning, and foundation models.
Continual Learning
Open-world Detection
Vision-Language + Diffusion
I am a Combined MS/PhD student at UNIST AIGS, advised by Prof. Seungryul Baek. My work focuses on continual learning, open-world detection, and vision-language systems.
Previously, I interned at NAVER AI Lab advised by Dongyoon Han, where I studied backbone architectures and analyzed internal representations of large-scale models. I also serve as an NVIDIA AI Ambassador, with a strong interest in applied AI for everyday problems.
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CVPR 2024 Highlight Poster
Presenting diffusion-based replay research for class-incremental object detection.
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Now / Highlights
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Selected as an Outstanding Reviewer at BMVC 2025
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Jul 2025 · One paper accepted to BMVC (co-first author)
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Jul 2025 · Two papers accepted to ICCV Workshops (1st author)
Highlight
CVPR 2024 first-author paper selected as Highlight Poster (top 2.8%)
Open to Opportunities
Looking for research internships in industry.
Interested in practical research around 2D/3D representation, continual learning, and large-scale vision-language or diffusion models.
Contact Me
