
Universal Spectral Adversarial Attacks for Deformable Shapes
Machine learning models are known to be vulnerable to adversarial attack...
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Spectral Unions of Partial Deformable 3D Shapes
Spectral geometric methods have brought revolutionary changes to the fie...
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Learning disentangled representations via product manifold projection
We propose a novel approach to disentangle the generative factors of var...
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NonRigid Puzzles
Shape correspondence is a fundamental problem in computer graphics and v...
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HighResolution Augmentation for Automatic TemplateBased Matching of Human Models
We propose a new approach for 3D shape matching of deformable human shap...
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Nonlinear Spectral Geometry Processing via the TV Transform
We introduce a novel computational framework for digital geometry proces...
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KnowledgeDriven Learning via Experts Consult for Thyroid Nodule Classification
Computeraided diagnosis (CAD) is becoming a prominent approach to assis...
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LIMP: Learning Latent Shape Representations with Metric Preservation Priors
In this paper, we advocate the adoption of metric preservation as a powe...
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Instant recovery of shape from spectrum via latent space connections
We introduce the first learningbased method for recovering shapes from ...
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The Whole Is Greater Than the Sum of Its Nonrigid Parts
According to Aristotle, a philosopher in Ancient Greece, "the whole is g...
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CorrespondenceFree Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment
We consider the problem of localizing relevant subsets of nonrigid geom...
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ZoomOut: Spectral Upsampling for Efficient Shape Correspondence
We present a simple and efficient method for refining maps or correspond...
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Selfsupervised Learning of Dense Shape Correspondence
We introduce the first completely unsupervised correspondence learning a...
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Isospectralization, or how to hear shape, style, and correspondence
The question whether one can recover the shape of a geometric object fro...
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Functional Maps Representation on Product Manifolds
We consider the tasks of representing, analyzing and manipulating maps b...
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FARM: Functional Automatic Registration Method for 3D Human Bodies
We introduce a new method for nonrigid registration of 3D human shapes....
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Efficient Deformable Shape Correspondence via Kernel Matching
We present a method to match three dimensional shapes under nonisometri...
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Localized Manifold Harmonics for Spectral Shape Analysis
The use of Laplacian eigenfunctions is ubiquitous in a wide range of com...
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Product Manifold Filter: NonRigid Shape Correspondence via Kernel Density Estimation in the Product Space
Many algorithms for the computation of correspondences between deformabl...
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Geometric deep learning on graphs and manifolds using mixture model CNNs
Deep learning has achieved a remarkable performance breakthrough in seve...
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Bayesian Inference of Bijective NonRigid Shape Correspondence
Many algorithms for the computation of correspondences between deformabl...
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Learning shape correspondence with anisotropic convolutional neural networks
Establishing correspondence between shapes is a fundamental problem in g...
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Efficient Globally Optimal 2Dto3D Deformable Shape Matching
We propose the first algorithm for nonrigid 2Dto3D shape matching, wh...
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Pointwise Map Recovery and Refinement from Functional Correspondence
Since their introduction in the shape analysis community, functional map...
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Partial Functional Correspondence
In this paper, we propose a method for computing partial functional corr...
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Emanuele Rodolà
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