M M Lutfe Elahi

A novel transformer framework achieves superior assessment of rehabilitation exercises by effectively extracting and utilizing joint position features from RGBD data.

Systematic biases in transformer-based time-series forecasting can be effectively mitigated by decoupling prediction and residual learning into a two-stage framework.