Jisu Ko

Masked pose embedding for view and occlusion invariance in 2D pose analysis

Pose embeddings provide a practical way to improve viewpoint invariance and occlusion robustness in 2D pose analysis by transforming sparse landmark coordinates into representations that preserve underlying 3D pose semantics. Existing approaches often rely on contrastive or variational objectives, which require careful...