📄 A paper on stabilizing autofocus is accepted in WACV 2025 as an Oral presentation
Stable Autofocus with Focal Consistency Loss.
About Me
I am a Staff Engineer at Samsung AI Center, where I lead a small team working on building multimodal retrieval-augmented generation applications for internal knowledge management. I received Ph.D. at Computer Vision Lab, Seoul National University under the supervision of Prof. Kyoung Mu Lee. I like discovering new insights from ambiguous problems and translating complex technical ideas into practical solutions.
Interests
- AI Agents
- LLM / RAG
- Computer Vision
Education
PhD Electrical Engineering and Computer Science
Seoul National University
BEng Electrical Engineering and Computer Science
Seoul National University
Experience
Staff Engineer
Samsung Electronics, DS Division, AI Center (*formerly SAIT, AI Research Center*)Responsibilities include:
- AI Agent (Jun 2024 – Present): Built a multimodal Retrieval‑Augmented Generation (RAG) application for internal knowledge management, improving efficiency in accessing distributed information across teams.
- AI ISP (Jan 2024 ‑ May 2024): Designed and trained a natural language‑based Image Quality Assessment (IQA) model, enabling intuitive and context‑aware image evaluations.
- AI ISP (May 2022 ‑ Dec 2023): Developed an efficient dual‑pixel autofocus model optimized for low‑light environments, improving focusing speed and accuracy.
Visiting Researcher
Google ResearchResponsibilities include:
- Conducted research on vision‑language models for controllable image editing guided by natural language instructions.
- Proposed a novel approach using conditional classifier‑free guidance to enhance editing fidelity and semantic alignment.
Research Intern
Snap Inc.Responsibilities include:
- Developed deep learning models for efficient and high‑quality video frame interpolation.
- Designed and implemented the SNU‑FILM benchmark dataset for analytic evaluation.
Education
PhD Electrical Engineering and Computer Science
Seoul National UniversityIntegrated Master & Ph.D in EECS.
Thesis: Test‑Time Adaptation Methods for Video Frame Interpolation.
Supervised by Prof. Kyoung Mu LeeBEng Electrical Engineering and Computer Science
Seoul National UniversityGPA: 3.48/4.30
Recent Publications
(2025).
Stable Autofocus with Focal Consistency Loss.
Proceedings of the IEEE/CVF winter conference on applications of computer vision.
(2023).
Exploring positional characteristics of dual-pixel data for camera autofocus.
Proceedings of the IEEE/CVF International Conference on Computer Vision.
(2023).
Learning to learn task-adaptive hyperparameters for few-shot learning.
IEEE Transactions on Pattern Analysis and Machine Intelligence.
(2022).
Referring object manipulation of natural images with conditional classifier-free guidance.
European Conference on Computer Vision.
(2022).
Visual tracking by adaptive continual meta-learning.
IEEE Access.
Recent News
📄 A paper on autofocus is accepted in ICCV 2023.
Exploring positional characteristics of dual-pixel data for camera autofocus.