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UiT The Arctic University of Norway, Norwegian Computing Center
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LMV-Net outperforms existing breast cancer risk prediction models by effectively integrating longitudinal multi-view data, revealing the critical role of spatial-temporal information in enhancing risk stratification.
Anomaly detection just got a major upgrade: ProtoX-AD delivers high accuracy with explanations that make sense, bridging the gap between performance and interpretability.
Achieve controllable multi-character animation with arbitrary numbers of characters by preventing identity entanglement and improving identity-pose binding via instance-isolated latent representations and decoupled attention.
