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Differentiable Graph Module (DGM) for Graph Convolutional Networks

IEEE transactions on pattern analysis and machine intelligence, 2023-02, Vol.45 (2), p.1606-1617

2023

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Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale Bioacoustics

Scientific reports, 2019-08, Vol.9 (1), p.12588-10, Article 12588

2019

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Utilizing graph machine learning within drug discovery and development

Briefings in bioinformatics, 2021-11, Vol.22 (6)

2021

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Generalized Multidimensional Scaling: A Framework for Isometry-Invariant Partial Surface Matching

Proceedings of the National Academy of Sciences - PNAS, 2006-01, Vol.103 (5), p.1168-1172

2006

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CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters

IEEE transactions on signal processing, 2019-01, Vol.67 (1), p.97-109

2019

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LDAHash: Improved Matching with Smaller Descriptors

IEEE transactions on pattern analysis and machine intelligence, 2012-01, Vol.34 (1), p.66-78

2012

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Efficient Computation of Isometry‐Invariant Distances Between Surfaces

SIAM journal on scientific computing, 2006-01, Vol.28 (5), p.1812-1836

2006

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Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting

IEEE transactions on pattern analysis and machine intelligence, 2023-01, Vol.45 (1), p.657-668

2023

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Partial Similarity of Objects, or How to Compare a Centaur to a Horse

International journal of computer vision, 2009-08, Vol.84 (2), p.163-183

2009

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Dynamic Graph CNN for Learning on Point Clouds

ACM transactions on graphics, 2019-11, Vol.38 (5), p.1-12

2019

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Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.4989-4999

2020

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Topology-Invariant Similarity of Nonrigid Shapes

International journal of computer vision, 2009-03, Vol.81 (3), p.281-301

2009

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MADMM: A Generic Algorithm for Non-smooth Optimization on Manifolds

Computer Vision – ECCV 2016, p.680-696

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Diffusion-geometric maximally stable component detection in deformable shapes

Computers & graphics, 2011-06, Vol.35 (3), p.549-560

2011

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Multimodal Similarity-Preserving Hashing

IEEE transactions on pattern analysis and machine intelligence, 2014-04, Vol.36 (4), p.824-830

2014

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A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching

International journal of computer vision, 2010-09, Vol.89 (2-3), p.266-286

2010

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Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.5425-5434

2017

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Geodesic Convolutional Neural Networks on Riemannian Manifolds

2015 IEEE International Conference on Computer Vision Workshop (ICCVW), 2015, p.832-840

2015

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Intel® RealSense™ SR300 Coded Light Depth Camera

IEEE transactions on pattern analysis and machine intelligence, 2020-10, Vol.42 (10), p.2333-2345

2020

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Shape Recognition with Spectral Distances

IEEE transactions on pattern analysis and machine intelligence, 2011-05, Vol.33 (5), p.1065-1071

2011

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Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians

IEEE transactions on pattern analysis and machine intelligence, 2015-12, Vol.37 (12), p.2505-2517

2015

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Toward understanding the communication in sperm whales

iScience, 2022-06, Vol.25 (6), p.104393-104393, Article 104393

2022

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Message-Passing Monte Carlo: Generating low-discrepancy point sets via graph neural networks

Proceedings of the National Academy of Sciences - PNAS, 2024-10, Vol.121 (40)

2024

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Full and Partial Symmetries of Non-rigid Shapes

International journal of computer vision, 2010-08, Vol.89 (1), p.18-39

2010

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Scale-invariant heat kernel signatures for non-rigid shape recognition

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, p.1704-1711

2010

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Differentiable Graph Module (DGM) for Graph Convolutional Networks

Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale Bioacoustics

Utilizing graph machine learning within drug discovery and development

Generalized Multidimensional Scaling: A Framework for Isometry-Invariant Partial Surface Matching

CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters

LDAHash: Improved Matching with Smaller Descriptors

Efficient Computation of Isometry‐Invariant Distances Between Surfaces

Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting

Partial Similarity of Objects, or How to Compare a Centaur to a Horse

Dynamic Graph CNN for Learning on Point Clouds

Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild

Topology-Invariant Similarity of Nonrigid Shapes

MADMM: A Generic Algorithm for Non-smooth Optimization on Manifolds

Diffusion-geometric maximally stable component detection in deformable shapes

Multimodal Similarity-Preserving Hashing

A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs

Geodesic Convolutional Neural Networks on Riemannian Manifolds

Intel® RealSense™ SR300 Coded Light Depth Camera

Shape Recognition with Spectral Distances

Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians

Toward understanding the communication in sperm whales

Message-Passing Monte Carlo: Generating low-discrepancy point sets via graph neural networks

Full and Partial Symmetries of Non-rigid Shapes

Scale-invariant heat kernel signatures for non-rigid shape recognition

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