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Changzhou University
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LFNet's innovative liquid fusion approach reveals how harmonizing spectral biases from CNNs and SSMs can dramatically enhance salient object detection across multiple modalities.
EgoPhys can predict the physics of unseen deformable objects from just a single egocentric video, revolutionizing how we approach digital twin generation in robotics.