Hanzhi Liu

Affordance-First Decomposition for Continual Learning in Video-Language Understanding

Continual learning for video--language understanding is increasingly important as models face non-stationary data, domains, and query styles, yet prevailing solutions blur what should stay stable versus what should adapt, rely on static routing/capacity, or require replaying past videos. We aim to e