Fundamental Research on Vision Algorithms for Comprehensive and Thorough Video Understanding
Developing artificial intelligence/machine learning source technology through future situation prediction research through human-like comprehensive video understanding.
Comprehensive video understanding includes contextual information through correlation analysis between human emotion/action/surrounding scene.
Development of emotion recognition technology through video-based interaction of emotion/action/environment.
Development of human-centric comprehensive video scene analysis and action recognition technology.
Development of environmental change prediction technology through comprehensive situational recognition.
Jungin Park
Ph.D.
My research interests include computer vision, video understanding, multimodal learning, and vision-language models.