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.CV2024
Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information
Timofey Efimov, Harry Dong, Megna Shah +3
Diffusion models have found phenomenal success as expressive priors for solving inverse problems, but their extension beyond natural images to more structured scientific domains re…
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…