Sehwan Park

About Me

I am a graduate student at the Multimodal Interactive Intelligence Laboratory (MIIL), Korea University, advised by Prof. Paul Hongsuck Seo.

My research interests lie in generative AI and multimodal learning, with a focus on diffusion models — including efficient diffusion model compression and cross-modal generation.

News

[Nov. 2025] Random Conditioning is selected as a Qualcomm Innovation Fellowship Korea Finalist.
[May 2025] Cross-Modal Watermarking is accepted to Interspeech 2025.
[Feb. 2025] Random Conditioning is accepted to CVPR 2025.

Publications

CVPR

Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression

D. Kim*, Sehwan Park*, G. Han, S. W. Kim, P. H. Seo (*co-first)

CVPR 2025 (Qualcomm Innovation Fellowship Korea Finalist)

PDF Project page Code
Interspeech

Cross-Modal Watermarking for Authentic Audio Recovery and Tamper Localization in Synthesized Audiovisual Forgeries

M. Kim, Sehwan Park, S. Cha, P. H. Seo

Interspeech 2025

PDF ISCA

Education

M.S. in Computer Science, Korea University 2025.03 – 2027.02 (expected)

Multimodal Interactive Intelligence Lab (MIIL) · Advisor: Prof. Paul Hongsuck Seo

B.S. in Intelligence Mechatronics Engineering, Sejong University 2019.03 – 2025.02

MINES Lab · Advisor: Prof. Hyung Seok Kim · Graduated Summa Cum Laude (GPA 4.3/4.5)

Awards & Honors

Qualcomm Innovation Fellowship Korea — Finalist Nov. 2025

For Random Conditioning (CVPR 2025).

2nd-rank Honor Scholarship (GPA 4.5/4.5) Spring 2023

1st Place, Grand Prize — Regional Connection SW Presentation, Seoul Campus Town Sep. 2020

1st-rank Honor Scholarship (GPA 4.5/4.5) Fall 2019