3 papers
eess.IV2026
Multimodal Diffusion to Mutually Enhance Polarized Light and Low Resolution EBSD Data
Harry Dong, Timofey Efimov, Megna Shah +4
In spite of the utility of 3-D electron back-scattered diffraction (EBSD) microscopy, the data collection process can be time-consuming with serial-sectioning. Hence, it is natural…
cs.CV2023
A Lightweight Transformer for Faster and Robust EBSD Data Collection
Harry Dong, Sean Donegan, Megna Shah +1
Three dimensional electron back-scattered diffraction (EBSD) microscopy is a critical tool in many applications in materials science, yet its data quality can fluctuate greatly dur…
stat.ML2022
Deep Unfolded Tensor Robust PCA with Self-supervised Learning
Harry Dong, Megna Shah, Sean Donegan +1
Tensor robust principal component analysis (RPCA), which seeks to separate a low-rank tensor from its sparse corruptions, has been crucial in data science and machine learning wher…