Zi-Jian Wu

S3-Tracker: Self-Supervised Surgical Tissue Tracking With Contrastive Random Walks

This work proposes a self-supervised Track-Any-Point approach that learns from unlabeled surgical videos by establishing global pixel correspondences and inferring point trajectories through contrastive random walks, and achieves performance comparable to existing semi-supervised approaches while implicitly handling ti...