Yu Fang

UMR achieves unprecedented motion fidelity by learning dense point cloud correspondences, eliminating the need for manual semantic mappings in humanoid motion retargeting.

ReFace achieves the highest reported accuracy for pain assessment from facial videos by leveraging spatial reorganization, challenging the conventional approach of treating the face as a single entity.

Classical feature engineering outperforms deep learning in pain localization, revealing critical insights into physiological signal interpretation.

A unified Vision-Language Model and Diffusion architecture unlocks surprisingly effective optical flow forecasting from noisy web data, enabling language-conditioned robot control and video generation.