Justin Solomon

According to our database1, Justin Solomon authored at least 92 papers between 2007 and 2021.

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Bibliography

2021
k-Mixup Regularization for Deep Learning via Optimal Transport.
CoRR, 2021

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark.
CoRR, 2021

Large-Scale Wasserstein Gradient Flows.
CoRR, 2021

MarioNette: Self-Supervised Sprite Learning.
CoRR, 2021

HodgeNet: Learning Spectral Geometry on Triangle Meshes.
CoRR, 2021

Synthesis of Frame Field-Aligned Multi-Laminar Structures.
CoRR, 2021

Improving Approximate Optimal Transport Distances using Quantization.
CoRR, 2021

Special issue on 14th International Conference on Geometric Modeling and Processing (GMP2020).
Comput. Aided Geom. Des., 2021

Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Manifold Patch-Based Representations of Man-Made Shapes.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Octahedral Frames for Feature-Aligned Cross Fields.
ACM Trans. Graph., 2020

Algebraic Representations for Volumetric Frame Fields.
ACM Trans. Graph., 2020

Geometry of Graph Partitions via Optimal Transport.
SIAM J. Sci. Comput., 2020

k-Variance: A Clustered Notion of Variance.
CoRR, 2020

Redistricting Algorithms.
CoRR, 2020

Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection.
CoRR, 2020

A Computational Approach to Measuring Vote Elasticity and Competitiveness.
CoRR, 2020

Polygonal Building Segmentation by Frame Field Learning.
CoRR, 2020

Medial Axis Isoperimetric Profiles.
Comput. Graph. Forum, 2020

Hexahedral Mesh Repair via Sum-of-Squares Relaxation.
Comput. Graph. Forum, 2020

Continuous Regularized Wasserstein Barycenters.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Regularized Building Segmentation by Frame Field Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Model Fusion with Kullback-Leibler Divergence.
Proceedings of the 37th International Conference on Machine Learning, 2020

Pillar-Based Object Detection for Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Parametric Shape Predictions Using Distance Fields.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Dynamic Graph CNN for Learning on Point Clouds.
ACM Trans. Graph., 2019

Steklov Spectral Geometry for Extrinsic Shape Analysis.
ACM Trans. Graph., 2019

Optimal transport-based polar interpolation of directional fields.
ACM Trans. Graph., 2019

Reversible Harmonic Maps between Discrete Surfaces.
ACM Trans. Graph., 2019

Vectorization of Line Drawings via Polyvector Fields.
ACM Trans. Graph., 2019

Total Variation Isoperimetric Profiles.
SIAM J. Appl. Algebra Geom., 2019

Incorporating Unlabeled Data into Distributionally Robust Learning.
CoRR, 2019

Recombination: A family of Markov chains for redistricting.
CoRR, 2019

Complexity and Geometry of Sampling Connected Graph Partitions.
CoRR, 2019

Deep Sketch-Based Modeling of Man-Made Shapes.
CoRR, 2019

Audio Transport: A Generalized Portamento via Optimal Transport.
CoRR, 2019

Functional Maps Representation On Product Manifolds.
Comput. Graph. Forum, 2019

Hierarchical Optimal Transport for Document Representation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

PRNet: Self-Supervised Learning for Partial-to-Partial Registration.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Alleviating Label Switching with Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Placental Flattening via Volumetric Parameterization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning Embeddings into Entropic Wasserstein Spaces.
Proceedings of the 7th International Conference on Learning Representations, 2019

Deep Closest Point: Learning Representations for Point Cloud Registration.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Interactive exploration of design trade-offs.
ACM Trans. Graph., 2018

Singularity-constrained octahedral fields for hexahedral meshing.
ACM Trans. Graph., 2018

OptCuts: joint optimization of surface cuts and parameterization.
ACM Trans. Graph., 2018

Dynamical optimal transport on discrete surfaces.
ACM Trans. Graph., 2018

Quadratically Regularized Optimal Transport on Graphs.
SIAM J. Sci. Comput., 2018

Wasserstein Coresets for Lipschitz Costs.
CoRR, 2018

Gerrymandering and Compactness: Implementation Flexibility and Abuse.
CoRR, 2018

Optimal Transport on Discrete Domains.
CoRR, 2018

Kernel Functional Maps.
Comput. Graph. Forum, 2018

Interactive Curve Constrained Functional Maps.
Comput. Graph. Forum, 2018

Functional Maps on Product Manifolds.
Proceedings of the 16th Eurographics Symposium on Geometry Processing, 2018

Stochastic Wasserstein Barycenters.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Boundary Element Octahedral Fields in Volumes.
ACM Trans. Graph., 2017

Functional Characterization of Intrinsic and Extrinsic Geometry.
ACM Trans. Graph., 2017

Steklov Geometry Processing: An Extrinsic Approach to Spectral Shape Analysis.
CoRR, 2017

GWCNN: A Metric Alignment Layer for Deep Shape Analysis.
Comput. Graph. Forum, 2017

Isometry-Aware Preconditioning for Mesh Parameterization.
Comput. Graph. Forum, 2017

Learning Detail Transfer based on Geometric Features.
Comput. Graph. Forum, 2017

Parallel Streaming Wasserstein Barycenters.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Advanced Techniques for Image Quality Assessment of Modern X-ray Computed Tomography Systems.
PhD thesis, 2016

Entropic metric alignment for correspondence problems.
ACM Trans. Graph., 2016

Continuous-Flow Graph Transportation Distances.
CoRR, 2016

Quantum Optimal Transport for Tensor Field Processing.
CoRR, 2016

Near-Isometric Level Set Tracking.
Comput. Graph. Forum, 2016

Gromov-Wasserstein Averaging of Kernel and Distance Matrices.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Convolutional wasserstein distances: efficient optimal transportation on geometric domains.
ACM Trans. Graph., 2015

PDE Approaches to Graph Analysis.
CoRR, 2015

Exponential Integration for Hamiltonian Monte Carlo.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Numerical Algorithms - Methods for Computer Vision, Machine Learning, and Graphics.
CRC Press, ISBN: 978-1-482-25188-3, 2015

2014
Codimensional surface tension flow on simplicial complexes.
ACM Trans. Graph., 2014

Earth mover's distances on discrete surfaces.
ACM Trans. Graph., 2014

A General Framework for Bilateral and Mean Shift Filtering.
CoRR, 2014

Wasserstein Propagation for Semi-Supervised Learning.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Dirichlet Energy for Analysis and Synthesis of Soft Maps.
Comput. Graph. Forum, 2013

2012
Functional maps: a flexible representation of maps between shapes.
ACM Trans. Graph., 2012

Flexible Developable Surfaces.
Comput. Graph. Forum, 2012

Soft Maps Between Surfaces.
Comput. Graph. Forum, 2012

Fast smoothed shock filtering.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
As-Killing-As-Possible Vector Fields for Planar Deformation.
Comput. Graph. Forum, 2011

Discovery of Intrinsic Primitives on Triangle Meshes.
Comput. Graph. Forum, 2011

2010
Smoothed local histogram filters.
ACM Trans. Graph., 2010

On Discrete Killing Vector Fields and Patterns on Surfaces.
Comput. Graph. Forum, 2010

2009
Programmers, Professors, and Parasites: Credit and Co-Authorship in Computer Science.
Sci. Eng. Ethics, 2009

Introduction: maxed out?
ACM Crossroads, 2009

2008
Introduction.
ACM Crossroads, 2008

2007
Putting the <i>science</i> into computer science: treating introductory computer science as the study of algorithms.
ACM SIGCSE Bull., 2007

The science of shape: revolutionizing graphics and vision with the third dimension.
ACM Crossroads, 2007

SIGGRAPH 2006: exploring the art and science of computer graphics.
ACM Crossroads, 2007

Fast and accurate estimation of principal curvatures and directions for morphable models.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2007


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