Xiao Zhao

Leveraging phase information can dramatically improve few-shot image classification, outperforming traditional methods by integrating frequency insights.

Attention-based models can significantly enhance in-table predictions, outperforming traditional architectures when trained on synthetic tabular data.

GaussianFusion achieves superior 3D perception by leveraging a continuous 3D Gaussian space, outperforming traditional methods while using fewer resources.