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Efficient deformable shape correspondence via kernel matching
We present a method to match three dimensional shapes under non-isometric deformations, topology changes and partiality. We formulate …
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Efficient deformable shape correspondence via kernel matching
Spatial Maps: From low rank spectral to sparse spatial functional representations
Functional representation is a well-established approach to represent dense correspondences between deformable shapes. The approach …
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Spatial Maps: From low rank spectral to sparse spatial functional representations
Effects of Network Topology on the OpenAnswer's Bayesian Model of Peer Assessment
The paper investigates if and how the topology of the peer-assessment network can affect the performance of the Bayesian model adopted …
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Effects of Network Topology on the OpenAnswer's Bayesian Model of Peer Assessment
Performance Variations of the Bayesian Model of Peer-Assessment Implemented in OpenAnswer Response to Modifications of the Number of Peers Assessed and of the Quality of the Class
The paper presents a study of the performance variations of the Bayesian model of peer-assessment implemented in OpenAnswer, in terms …
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Performance Variations of the Bayesian Model of Peer-Assessment Implemented in OpenAnswer Response to Modifications of the Number of Peers Assessed and of the Quality of the Class
Geometric deep learning on graphs and manifolds using mixture model CNNs
Deep learning has achieved a remarkable performance breakthrough in several fields, most notably in speech recognition, natural …
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Geometric deep learning on graphs and manifolds using mixture model CNNs
Product Manifold Filter: Non-rigid shape correspondence via kernel density estimation in the product space
Many algorithms for the computation of correspondences between deformable shapes rely on some variant of nearest neighbor matching in a …
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Product Manifold Filter: Non-rigid shape correspondence via kernel density estimation in the product space
SHREC'17: Deformable shape retrieval with missing parts
Partial similarity problems arise in numerous applications that involve real data acquisition by 3D sensors, inevitably leading to …
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SHREC'17: Deformable shape retrieval with missing parts
Computing and Processing Correspondences with Functional Maps
Notions of similarity and correspondence between geometric shapes and images are central to many tasks in geometry processing, computer …
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Computing and Processing Correspondences with Functional Maps
A Game-theoretical Approach for Joint Matching of Multiple Feature throughout Unordered Images
Feature matching is a key step in most Computer Vision tasks involving several views of the same subject. In fact, it plays a crucial …
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A Game-theoretical Approach for Joint Matching of Multiple Feature throughout Unordered Images
Learning shape correspondence with anisotropic convolutional neural networks
Establishing correspondence between shapes is a fundamental problem in geometry processing, arising in a wide variety of applications. …
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Learning shape correspondence with anisotropic convolutional neural networks