3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CV2026
EM3M: An Electron Micrograph Dataset for Microstructural Segmentation and Generation
Nan Wang, Zhiyi Xia, Yiming Li +7
Quantitative microstructural characterization is fundamental to materials science, and electron micrographs (EMs) provide indispensable high-resolution insights. However, progress…
cs.CV2026★ 3 cited
Harnessing the Power of Local Representations for Few-Shot Classification
Shi Tang, Guiming Luo, Xinchen Ye +1
Generalizing to novel classes unseen during training is a key challenge of few-shot classification. Recent metric-based methods try to address this by local representations. Howeve…
eess.IV2025
Uni-AIMS: AI-Powered Microscopy Image Analysis
Yanhui Hong, Nan Wang, Zhiyi Xia +11
This paper presents a systematic solution for the intelligent recognition and automatic analysis of microscopy images. We developed a data engine that generates high-quality annota…