Search Results for author: Sara Fridovich-Keil

Found 12 papers, 6 papers with code

Volumetric Reconstruction Resolves Off-Resonance Artifacts in Static and Dynamic PROPELLER MRI

1 code implementation22 Nov 2023 Annesha Ghosh, Gordon Wetzstein, Mert Pilanci, Sara Fridovich-Keil

Off-resonance artifacts in magnetic resonance imaging (MRI) are visual distortions that occur when the actual resonant frequencies of spins within the imaging volume differ from the expected frequencies used to encode spatial information.

MRI Reconstruction

Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction

no code implementations6 Oct 2023 Sara Fridovich-Keil, Fabrizio Valdivia, Gordon Wetzstein, Benjamin Recht, Mahdi Soltanolkotabi

We show that this approach reduces metal artifacts compared to a commercial reconstruction of a human skull with metal dental crowns.

Computed Tomography (CT)

Neural Microfacet Fields for Inverse Rendering

no code implementations ICCV 2023 Alexander Mai, Dor Verbin, Falko Kuester, Sara Fridovich-Keil

We present Neural Microfacet Fields, a method for recovering materials, geometry, and environment illumination from images of a scene.

Inverse Rendering Novel View Synthesis

Models Out of Line: A Fourier Lens on Distribution Shift Robustness

no code implementations8 Jul 2022 Sara Fridovich-Keil, Brian R. Bartoldson, James Diffenderfer, Bhavya Kailkhura, Peer-Timo Bremer

However, there still is no clear understanding of the conditions on OOD data and model properties that are required to observe effective robustness.

Data Augmentation

When does dough become a bagel? Analyzing the remaining mistakes on ImageNet

1 code implementation9 May 2022 Vijay Vasudevan, Benjamin Caine, Raphael Gontijo-Lopes, Sara Fridovich-Keil, Rebecca Roelofs

To help contextualize progress on ImageNet and provide a more meaningful evaluation for today's state-of-the-art models, we manually review and categorize every remaining mistake that a few top models make in order to provide insight into the long-tail of errors on one of the most benchmarked datasets in computer vision.

Image Classification

Spectral Bias in Practice: The Role of Function Frequency in Generalization

no code implementations6 Oct 2021 Sara Fridovich-Keil, Raphael Gontijo-Lopes, Rebecca Roelofs

We also explore the connections between function frequency and image frequency and find that spectral bias is sensitive to the low frequencies prevalent in natural images.

Data Augmentation Image Classification

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

13 code implementations NeurIPS 2020 Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng

We show that passing input points through a simple Fourier feature mapping enables a multilayer perceptron (MLP) to learn high-frequency functions in low-dimensional problem domains.

A Meta-Analysis of Overfitting in Machine Learning

no code implementations NeurIPS 2019 Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt

By systematically comparing the public ranking with the final ranking, we assess how much participants adapted to the holdout set over the course of a competition.

BIG-bench Machine Learning Holdout Set

Contact Surface Area: A Novel Signal for Heart Rate Estimation in Smartphone Videos

no code implementations25 Feb 2019 Sara Fridovich-Keil, Peter J. Ramadge

We consider the problem of smartphone video-based heart rate estimation, which typically relies on measuring the green color intensity of the user's skin.

Medical Physics Image and Video Processing

Cannot find the paper you are looking for? You can Submit a new open access paper.