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05/17/2023
Extracting a functional representation from a dictionary for non-rigid shape matching
Shape matching is a fundamental problem in computer graphics with many a...
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05/30/2022
Harnessing spectral representations for subgraph alignment
With the rise and advent of graph learning techniques, graph data has be...
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01/25/2022
Explanatory Learning: Beyond Empiricism in Neural Networks
We introduce Explanatory Learning (EL), a framework to let machines use ...
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12/17/2021
Complex Functional Maps : a Conformal Link Between Tangent Bundles
In this paper, we introduce complex functional maps, which extend the fu...
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12/14/2021
Why you should learn functional basis
Efficient and practical representation of geometric data is a ubiquitous...
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08/26/2021
A functional skeleton transfer
The animation community has spent significant effort trying to ease rigg...
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08/04/2021
Learning to generate shape from global-local spectra
In this work, we present a new learning-based pipeline for the generatio...
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06/25/2021
Shape registration in the time of transformers
In this paper, we propose a transformer-based procedure for the efficien...
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04/07/2021
Universal Spectral Adversarial Attacks for Deformable Shapes
Machine learning models are known to be vulnerable to adversarial attack...
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03/31/2021
Spectral Unions of Partial Deformable 3D Shapes
Spectral geometric methods have brought revolutionary changes to the fie...
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03/02/2021
Learning disentangled representations via product manifold projection
We propose a novel approach to disentangle the generative factors of var...
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10/25/2020
Correspondence Learning via Linearly-invariant Embedding
In this paper, we propose a fully differentiable pipeline for estimating...
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09/19/2020
High-Resolution Augmentation for Automatic Template-Based Matching of Human Models
We propose a new approach for 3D shape matching of deformable human shap...
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06/15/2020
Infinite Feature Selection: A Graph-based Feature Filtering Approach
We propose a filtering feature selection framework that considers subset...
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06/01/2020
MapTree: Recovering Multiple Solutions in the Space of Maps
In this paper we propose an approach for computing multiple high-quality...
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03/14/2020
Instant recovery of shape from spectrum via latent space connections
We introduce the first learning-based method for recovering shapes from ...
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04/16/2019
ZoomOut: Spectral Upsampling for Efficient Shape Correspondence
We present a simple and efficient method for refining maps or correspond...
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07/27/2018
FARM: Functional Automatic Registration Method for 3D Human Bodies
We introduce a new method for non-rigid registration of 3D human shapes....
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07/24/2017
Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach
Feature selection is playing an increasingly significant role with respe...
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07/09/2017
Localized Manifold Harmonics for Spectral Shape Analysis
The use of Laplacian eigenfunctions is ubiquitous in a wide range of com...
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04/18/2017
Ranking to Learn: Feature Ranking and Selection via Eigenvector Centrality
In an era where accumulating data is easy and storing it inexpensive, fe...
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09/07/2016