Sejin Park

Ph.D. Student · Korea University

Sejin Park

Department of Electrical Engineering
Korea University, Seoul, Korea

Efficient AI Low-level Vision

I am a Ph.D. student in Electrical Engineering at Korea University, advised by Prof. Seung-Won Jung. My research focuses on efficient AI and low-level vision, with an emphasis on inference-efficient and hardware-aware models, including logic-based neural networks, image restoration, and camera ISP.

Research Interests

01

Efficient AI

Inference-efficient models, data-efficient learning, hardware-aware models, and logic-based neural networks.

02

Low-level Vision

Image restoration and camera ISP, with an emphasis on computationally efficient image processing.

Selected Papers

2025 BK21 FOUR Top Conference

IM-LUT: Interpolation Mixing Look-Up Tables for Image Super-Resolution

Can LUTs alone enable arbitrary-scale super-resolution?

Idea

Learn interpolation mixing weights and convert them into LUTs for efficient arbitrary-scale super-resolution.

Outcome

Enables continuous-scale super-resolution while retaining efficient LUT-based inference.

Sejin Park, Sangmin Lee, Kyong Hwan Jin, Seung-Won Jung

IEEE/CVF International Conference on Computer Vision (ICCV 2025)

IM-LUT overview
2023 BK21 FOUR Top Conference

FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization

Can weakly supervised localization learn new classes without forgetting previously learned localization knowledge?

Idea

Compensate feature drift caused by class-incremental learning to preserve localization capability across sequential tasks.

Outcome

Maintains localization knowledge while progressively learning new object classes.

Sejin Park*, Taehyung Lee*, Yeejin Lee, Byeongkeun Kang

ACM International Conference on Multimedia (ACM MM 2023)

* Equal contribution

FDCNet overview
Under Review Three manuscripts are currently under review.
Manuscript 1

Sejin Park, Hongjae Lee, Changwoo Han, Seung-Won Jung

Manuscript 2 NRF Student Research Grant

Juhyun Bae*, Sejin Park*, Seung-Won Jung

* Equal contribution

Manuscript 3

Sejin Park, Soeun Lee, Taehyung Lee, Yeejin Lee, Byeongkeun Kang

Book

2025

Introduction to Computer Vision for Future Mobility

Sejin Park and Seung-Won Jung

ISBN: 9791175000766

Patent Application

2025

Lookup table-based multi-interpolation hybrid method and device for arbitrary scale image super-resolution

Sejin Park and Seung-Won Jung

KR Application 10-2025-0104234

Research Projects

Sep 2026 – Present

AI for Science & Technology

National Research Foundation of Korea (NRF)

Sep 2025 – Present

Lightweight LLMs with Logic Gate Networks

National Research Foundation of Korea (NRF)

Mar 2024 – Sep 2025

SPAD Camera ISP

National Research Foundation of Korea (NRF)

Jun 2023 – Feb 2024

Class-Incremental Object Localization via Weakly Supervised Learning and Language Model

National Research Foundation of Korea (NRF)

May 2022 – Apr 2024

Development of Smart Total Management System for Small Scale Water Supply Facilities

National Research Foundation of Korea (NRF)

Apr 2020 – Dec 2022

VR/AR Content Generation System Reflecting User Context

Institute for Information & Communications Technology Planning & Evaluation (IITP)

Apr 2021 – Jun 2022

AI-based Water Management System

National Research Foundation of Korea (NRF)

Sep 2020 – Nov 2021

Attention-based Visual Object Tracking System

Electronics and Telecommunications Research Institute (ETRI)

Education

2024 – Present

Ph.D. in Electrical Engineering

Korea University

Advisor: Prof. Seung-Won Jung

2018 – 2024

Integrated B.S. & M.S. in Electrical Engineering

Seoul National University of Science and Technology

Advisor: Prof. Byeongkeun Kang

Teaching

Korea University

KECE404 Engineering Design II Fall 2025
KECE403 Engineering Design I Spring 2025
KECE370 Digital Signal Processing Fall 2024