2 citations · 3 across the 16 of their papers we have counts for
6 papers · 1 filter
Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models
Mateusz Michalkiewicz, Sheena Bai, Mahsa Baktashmotlagh +2
In this paper, we analyze the viewpoint stability of foundational models - specifically, their sensitivity to changes in viewpoint- and define instability as significant feature va…
Bias-Aware Conformal Prediction for Metric-Based Imaging Pipelines
Matt Y. Cheung, Tucker J. Netherton, Laurence E. Court +2
Reliable confidence measures of metrics derived from medical imaging reconstruction pipelines would improve the standard of decision-making in many clinical workflows. Conformal Pr…
Downscaling Extreme Precipitation with Wasserstein Regularized Diffusion
Yuhao Liu, James Doss-Gollin, Qiushi Dai +2
Understanding the risks posed by extreme rainfall events requires analysis of precipitation fields with high resolution (to assess localized hazards) and extensive historical cover…
Learning Transferable Features for Implicit Neural Representations
Kushal Vyas, Ahmed Imtiaz Humayun, Aniket Dashpute +3
Implicit neural representations (INRs) have demonstrated success in a variety of applications, including inverse problems and neural rendering. An INR is typically trained to captu…
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays
Yiran Sun, Hana Baroudi, Tucker Netherton +4
Computed Tomography (CT) scans are the standard-of-care for the visualization and diagnosis of many clinical ailments, and are needed for the treatment planning of external beam ra…
DRAGON: Drone and Ground Gaussian Splatting for 3D Building Reconstruction
Yujin Ham, Mateusz Michalkiewicz, Guha Balakrishnan
3D building reconstruction from imaging data is an important task for many applications ranging from urban planning to reconnaissance. Modern Novel View synthesis (NVS) methods lik…