Our research aims to improve the user experience of services, applications, and products through data analysis, deep learning algorithms, UI development, and more. Here are some of our research topics. We are still searching for research that benefits users and our society.
자동 미디어 콘텐츠 자막 생성 기술 개발 (Development of Automated Subtitle Generation for Media Content)
한양대학교, 이공계열 신진교원 국제학술논문 지원사업, 연구책임, 2024.07.01 ~ 2025.06.30.
생성형 AI모델 기반 인터랙티브 크리에이팅 시스템 개발 (Development of an Interactive Creation System Based on Generative AI Models)
한양대학교, 신임교원 정착연구지원사업, 연구책임, 2024.03.01 ~ 2025.02.28.
Previous Research Topics
Examine whether human beings can distinguish between paintings drawn by artists and fake paintings created using AI tools, as well as identify the factors that can affect people's discriminative abilities.
Propose an intuitive image-to-music information retrieval framework. The proposed method extracts mood and theme tags by searching for images from a pre-built database that are similar to a query image and then retrieves music with matching tag information.
Propose a framework that helps autonomous vehicles infer proper information under limited conditions. The entire process consists of three steps: restoration, evaluation, and presentation.
Designed a model to classify counterfeit seller accounts and general accounts using image and textual data collected from Instagram.
