activity
20152019
most citedDeep Closest Point: Learning Representations for Point Cloud Registration

120 citations · 147 across the 4 of their papers we have counts for

collaborators

6 papers

eess.AS20198 cited

Audio Transport: A Generalized Portamento via Optimal Transport

Trevor Henderson, Justin Solomon

This paper proposes a new method to interpolate between two audio signals. As an interpolation parameter is changed, the pitches in one signal slide to the pitches in the other, pr…

cs.LG20199 cited

Learning Embeddings into Entropic Wasserstein Spaces

Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon

Euclidean embeddings of data are fundamentally limited in their ability to capture latent semantic structures, which need not conform to Euclidean spatial assumptions. Here we cons…

cs.CV2019120 cited

Deep Closest Point: Learning Representations for Point Cloud Registration

Yue Wang, Justin M. Solomon

Point cloud registration is a key problem for computer vision applied to robotics, medical imaging, and other applications. This problem involves finding a rigid transformation fro…

cs.GR2018

Reversible Harmonic Maps between Discrete Surfaces

Danielle Ezuz, Justin Solomon, Mirela Ben-Chen

Information transfer between triangle meshes is of great importance in computer graphics and geometry processing. To facilitate this process, a smooth and accurate map is typically…

cs.OH2016

Continuous-Flow Graph Transportation Distances

Justin Solomon, Raif Rustamov, Leonidas Guibas +1

Optimal transportation distances are valuable for comparing and analyzing probability distributions, but larger-scale computational techniques for the theoretically favorable quadr…

cs.DM201510 cited

PDE Approaches to Graph Analysis

Justin Solomon

This paper surveys and discusses recent work adapting partial differential equation (PDE) models to discrete structures.