Ying Fu

Geometry-aware distillation enables text-driven video segmentation models to achieve state-of-the-art performance by leveraging 3D geometric knowledge, even from 2D image datasets.

AMNet achieves superior low-light video enhancement by generating auxiliary representations on-the-fly, even when critical data modalities are missing.

Unsupervised object detection can now achieve category awareness, bridging the gap with supervised methods without needing any labeled data.

Achieve high-fidelity 3D reconstructions from sparse-view electron microscopy data by adapting 3D Gaussian Splatting, enabling accurate analysis of dose-sensitive materials.