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M. M. Bronstein

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
GFrames: Gradient-based local reference frame for 3D shape matching
Localized manifold harmonics for spectral shape analysis
Improved functional mappings via product preservation
Efficient 2D-to-3D deformable shape matching for 3D shape retrieval applications
Partial Single- and Multishape Dense Correspondence Using Functional Maps
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
Efficient deformable shape correspondence via kernel matching
Geometric deep learning on graphs and manifolds using mixture model CNNs
Fully spectral partial shape matching
SHREC'17: Deformable shape retrieval with missing parts
Computing and Processing Correspondences with Functional Maps
Partial Functional Correspondence
Learning shape correspondence with anisotropic convolutional neural networks
Coupled functional maps
Shape analysis with anisotropic windowed Fourier transform
Non-rigid puzzles
Efficient globally optimal 2d-to-3d deformable shape matching
Anisotropic Diffusion Descriptors
SHREC'16: Matching of deformable shapes with topological noise
Computing and Processing Correspondences with Functional Maps
Geometric Deep Learning

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