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Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment
We consider the problem of localizing relevant subsets of non-rigid geometric shapes given only a partial 3D query as the input. Such …
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Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment
High-Resolution Augmentation for Automatic Template-Based Matching of Human Models
We propose a new approach for 3D shape matching of deformable human shapes. Our approach is based on the joint adoption of three …
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High-Resolution Augmentation for Automatic Template-Based Matching of Human Models
GFrames: Gradient-based local reference frame for 3D shape matching
We introduce GFrames, a novel local reference frame (LRF) construction for 3D meshes and point clouds. GFrames are based on the …
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GFrames: Gradient-based local reference frame for 3D shape matching
Unsupervised learning of dense shape correspondence
We introduce the first completely unsupervised correspondence learning approach for deformable 3D shapes. Key to our model is the …
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Unsupervised learning of dense shape correspondence
SHREC'19: Matching humans with different connectivity
Objects Matching is a ubiquitous problem in computer science with particular relevance for many applications; property transfer between …
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SHREC'19: Matching humans with different connectivity
SHREC'19: Shape Correspondence with Isometric and Non-Isometric Deformations
The registration of non-rigidly deforming shapes is a fundamental problem in the area of Graphics and Computational Geometry. One of …
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SHREC'19: Shape Correspondence with Isometric and Non-Isometric Deformations
Isospectralization, or how to hear shape, style, and correspondence
The question whether one can recover the shape of a geometric object from its Laplacian spectrum (‘hear the shape of the …
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Isospectralization, or how to hear shape, style, and correspondence
A Kernel-based Approach for Irony and Sarcasm Detection in Italian
This paper describes the UNITOR system that participated to the Irony Detection in Italian Tweets task (IronITA) within the context of …
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A Kernel-based Approach for Irony and Sarcasm Detection in Italian
SyntNN at SemEval-2018 Task 2: is Syntax Useful for Emoji Prediction? Embedding Syntactic Trees in Multi Layer Perceptrons
In this paper, we present SyntNN as a way to include traditional syntactic models in multilayer neural networks used in the task of …
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SyntNN at SemEval-2018 Task 2: is Syntax Useful for Emoji Prediction? Embedding Syntactic Trees in Multi Layer Perceptrons
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
We introduce a new framework for learning dense correspondence between deformable 3D shapes. Existing learning based approaches model …
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Deep Functional Maps: Structured Prediction for Dense Shape Correspondence