Unified skeleton representation learning for autonomous driving

• MotionMoCo learns generic skeleton representations that are adaptable to different downstream tasks. • MotionMoCo learns unified skeleton representations by decoupling spatial and temporal features. • A momentum contrastive framework ensures robust and transferable spatiotemporal embeddings. • Motion-Aware Frame Masking selectively removes fast-moving frames to enhance feature learning. • Achieves competitive results on action recognition, 2D-to-3D lifting, and human mesh recovery. • Enables multi-task generalization without requiring task-specific annotations or architectures.