Yihang Tang

The work proposes UltraStar, which reformulates echocardiography probe navigation from path regression to anchor-based global localization: a Star Graph treats historical keyframes as spatial anchors connected directly to the current view to explicitly model geometric constraints, and a semantic-aware sampling strategy actively selects representative landmarks from massive history logs to reduce redundancy for accurate anchoring; experiments on a dataset with over 1.31 million samples show it outperforms baselines and scales better with longer input lengths, indicating a more effective topology for history modeling under noisy exploration.

The work proposes UltraStar, which reformulates echocardiography probe navigation from path regression to anchor-based global localization: a Star Graph treats historical keyframes as spatial anchors connected directly to the current view to explicitly model geometric constraints, and a semantic-aware sampling strategy actively selects representative landmarks from massive history logs to reduce redundancy for accurate anchoring; experiments on a dataset with over 1.31 million samples show it outperforms baselines and scales better with longer input lengths, indicating a more effective topology for history modeling under noisy exploration.