Minho Park

Researcher at Electronics and Telecommunications Research Institute (ETRI)

I’m Minho Park. I received my B.S. (2018) and M.S. (2020) degrees in Electrical Engineering from KAIST. Currently, I am a Ph.D. student at KAIST, advised by Prof. Yong Man Ro, and also work as a researcher at ETRI. My research interest lies in Computer Vision. Specifically, I focus on understanding image representations and leveraging that knowledge to address challenges in long-tailed learning. I am also deeply interested in leveraging multimodal data and vision-language models for data generation and editing.

Email: roger618 [at] etri.re.kr

[Google Scholar] [LinkedIn]

Education

Korea Advanced Institute of Science and Technology (KAIST), South Korea (Mar. 2024 - Present)

Ph.D in Electrical Engineering (Advisor: Prof. Yong Man Ro)

Korea Advanced Institute of Science and Technology (KAIST), South Korea (Mar. 2018 - Feb. 2020)

M.S in Electrical Engineering (Advisor: Prof. Yong Man Ro)

Korea Advanced Institute of Science and Technology (KAIST), South Korea (Mar. 2013 - Feb. 2018)

B.S in Electrical Engineering

Research Interests

Computer Vision
Generative Model (GAN, Diffusion)
Multi-modal AI (Vision-Language Representation Model)

Experience

Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea (Mar. 2020 - Present)
- Researcher at Visual Intelligence Lab

Publications

Focus Where It Matters: LLM-Guided Regional Identification for Instruction-based Image Editing

Minho Park, Young Joo Jo, Jae-Hyeok Lee, Ji Yong Lee, Dong-oh Kang, Yong Man Ro

ACM International Conference on Multimedia (ACM MM), 2025

UP-VTON: A Unified Virtual Try-On Framework Supporting Mask, Mask-Free, and Prompt-Driven Guidance

Young Joo Jo, Minho Park, Dong-Oh Kang

IEEE International Conference on Computer Vision Workshop (ICCV Workshop), 2025

Augmenting Features via Contrastive Learning-based Generative Model for Long-Tailed Classification

Minho Park, Hyung-Il Kim, Hwa Jeon Song, Dong-Oh Kang

IEEE International Conference on Computer Vision Workshop (ICCV Workshop), 2023

Learning to embed multi-modal contexts for situated conversational agents

Haeju Lee, Oh Joon Kwon, Yunseon Choi, Minho Park, Ran Han, Yoonhyung Kim, Jinhyeon Kim, Youngjune Lee, Haebin Shin, Kangwook Lee, Kee-Eung Kim

Findings of the Association for Computational Linguistics (NAACL), 2022

Imbalanced classification via feature dictionary-based minority oversampling

Minho Park, Hwa Jeon Song, Dong-Oh Kang

IEEE Access, 2022

Visual comfort aware-reinforcement learning for depth adjustment of stereoscopic 3d images

Hak Gu Kim, Minho Park, Sangmin Lee, Seongyeop Kim, Yong Man Ro

Association for the Advancement of Artificial Intelligence (AAAI), 2021

Video frame interpolation via exceptional motion-aware synthesis

Minho Park, Sangmin Lee, Yong Man Ro

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020

Robust video frame interpolation with exceptional motion map

Minho Park, Hak Gu Kim, Sangmin Lee, Yong Man Ro

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020

Deep objective assessment model based on spatio-temporal perception of 360-degree video for VR sickness prediction

Kihyun Kim*, Sangmin Lee*, Hak Gu Kim, Minho Park, Yong Man Ro

IEEE International Conference on Image Processing (ICIP), 2019

Generative guiding block: Synthesizing realistic looking variants capable of even large change demands

Minho Park, Hak Gu Kim, Yong Man Ro

IEEE International Conference on Image Processing (ICIP), 2019

Photo-realistic facial emotion synthesis using multi-level critic networks with multi-level generative model

Minho Park, Hak Gu Kim, Yong Man Ro

International Conference on Multimedia Modeling (MMM), 2019

Professional Activities

Reviewer of IEEE/CVF Computer Vision and Pattern Recognition (CVPR)
Reviewer of Conference on Association for the Advancement of Artificial Intelligence (AAAI)
Reviewer of ACM International Conference on Multimedia (ACM MM)