4 citations · 8 across the 6 of their papers we have counts for
6 papers
Efficient Spatially Adaptive Convolution and Correlation
Thomas W. Mitchel, Benedict Brown, David Koller +3
Fast methods for convolution and correlation underlie a variety of applications in computer vision and graphics, including efficient filtering, analysis, and simulation. However, s…
Non-Convex Planar Harmonic Maps
Shahar Z. Kovalsky, Noam Aigerman, Ingrid Daubechies +3
We formulate a novel characterization of a family of invertible maps between two-dimensional domains. Our work follows two classic results: The Radó-Kneser-Choquet (RKC) theorem, w…
Geodesics using Waves: Computing Distances using Wave Propagation
Ayushi Sinha, Michael Kazhdan
In this paper, we present a new method for computing approximate geodesic distances. We introduce the wave method for approximating geodesic distances from a point on a manifold me…
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes using High-Resolution Neural EM Data
Ayushi Sinha, William Gray Roncal, Narayanan Kasthuri +3
Accurately estimating the wiring diagram of a brain, known as a connectome, at an ultrastructure level is an open research problem. Specifically, precisely tracking neural processe…
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes
Ayushi Sinha, William Gray Roncal, Narayanan Kasthuri +8
In this paper, we present a new pipeline which automatically identifies and annotates axoplasmic reticula, which are small subcellular structures present only in axons. We run our…
Can Mean-Curvature Flow Be Made Non-Singular?
Michael Kazhdan, Jake Solomon, Mirela Ben-Chen
This work considers the question of whether mean-curvature flow can be modified to avoid the formation of singularities. We analyze the finite-elements discretization and demonstra…