Tzu Ling Liu

Learnable Motion-Focused Tokenization for Effective and Efficient Video Unsupervised Domain Adaptation

Video Unsupervised Domain Adaptation (VUDA) poses a significant challenge in action recognition, requiring the adaptation of a model from a labeled source domain to an unlabeled target domain. Despite recent advances, existing VUDA methods often fall short of fully supervised performance, a key reas