Belinda Zeng

Preprint Oct 2026

Native Action-Prior Learning from Videos for World Action Models

World action models integrate future visual dynamics with robot action prediction, but their scalability remains limited by the need for action-annotated robot trajectories. Observation-only videos contain rich evidence about interaction dynamics, but existing approaches typically use them either to pretrain visual rep...

Zhao-Chong An, Fei Zhang, Meng-Lin Jia et al. · 0 citations

Preprint Sep 2026

Unifying Video Tasks via Spatiotemporal Analogy

Adapting video models to new tasks typically requires dedicated data curation and fine-tuning. While visual analogy provides a training-free alternative by specifying tasks in-context, it remains restricted to the image domain. To explore whether analogy-based methods can unify diverse video tasks and generalize to out...

Chia-Hsiang Kao, Belinda Zeng, Bharath Hariharan et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Video, Ergo Genero: Unifying Video Tasks via Spatiotemporal Analogy

Adapting video models to new tasks typically requires dedicated data curation and fine-tuning. While visual analogy provides a training-free alternative by specifying tasks in-context, it remains restricted to the image domain. To explore whether analogy-based methods can unify diverse video tasks and generalize to out...

Chia-Hsiang Kao, Belinda Zeng, Bharath Hariharan et al. · 0 citations