Assistant Professor, Korea University
2 papers at NeurIPS 2025
We propose DANCE, a novel explainable video action recognition framework that provides clear and structured explanations by disentangling motion dynamics and spatial context concepts.
We prevent unauthorized personalization of diffusion models at the model level.