Hesong Li

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.

Current image quality metrics struggle to articulate *why* one high-quality image is better than another, but this challenge shows MLLMs are closing the gap by providing expert-level explanations.

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

Achieve atomic-scale clarity in noisy HRTEM images with a novel denoising network that intelligently exploits statistical characteristics in both spatial and frequency domains.