Andrea Torsello

Orcid: 0000-0001-9189-4924

According to our database1, Andrea Torsello authored at least 148 papers between 2000 and 2024.

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Bibliography

2024
GNN-LoFI: A novel graph neural network through localized feature-based histogram intersection.
Pattern Recognit., April, 2024

Graph Generation via Spectral Diffusion.
CoRR, 2024

2022
Deep Demosaicing for Polarimetric Filter Array Cameras.
IEEE Trans. Image Process., 2022

3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature.
Int. J. Comput. Vis., 2022

A Novel Graph Kernel Based on the Wasserstein Distance and Spectral Signatures.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

Classifying Me Softly: A Novel Graph Neural Network Based on Features Soft-Alignment.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

Smaller is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

GAMS: Graph Augmentation with Module Swapping.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

One-Shot HDR Imaging via Stereo PFA Cameras.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
k-Anonymity on Graphs Using the Szemerédi Regularity Lemma.
IEEE Trans. Netw. Sci. Eng., 2021

A Physics-Driven CNN Model for Real-Time Sea Waves 3D Reconstruction.
Remote. Sens., 2021

Toward real-time optical estimation of ocean waves' space-time fields.
Comput. Geosci., 2021

Graph Kernel Neural Networks.
CoRR, 2021

More Is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning.
CoRR, 2021

2020
Cylinders extraction in non-oriented point clouds as a clustering problem.
Pattern Recognit., 2020

Open system quantum thermodynamics of time-varying graphs.
J. Complex Networks, 2020

Unsupervised Semantic Discovery Through Visual Patterns Detection.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Estimating the Manifold Dimension of a Complex Network Using Weyl's Law.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

The Average Mixing Kernel Signature.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
You Can't See Me: Anonymizing Graphs Using the Szemerédi Regularity Lemma.
Frontiers Big Data, 2019

Can a Quantum Walk Tell Which Is Which?A Study of Quantum Walk-Based Graph Similarity.
Entropy, 2019

On the von Neumann entropy of graphs.
J. Complex Networks, 2019

Robust Cylinder Estimation in Point Clouds from Pairwise Axes Similarities.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Stochastic Phase Estimation and Unwrapping.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2018
Thermodynamic Analysis of Time Evolving Networks.
Entropy, 2018

Venice through the Lens of Instagram: A Visual Narrative of Tourism in Venice.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

On the Optimality of Opportunistic Routing Protocols for Underwater Sensor Networks.
Proceedings of the 21st ACM International Conference on Modeling, 2018

Saliency-Driven Variational Retargeting for Historical Maps.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
WASS: An open-source pipeline for 3D stereo reconstruction of ocean waves.
Comput. Geosci., 2017

Partial Functional Correspondence.
Comput. Graph. Forum, 2017

Parameter-Free Lens Distortion Calibration of Central Cameras.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Synchronization Over the Birkhoff Polytope for Multi-graph Matching.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

Measuring Vertex Centrality Using the Holevo Quantity.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2017


Spatial Maps: From Low Rank Spectral to Sparse Spatial Functional Representations.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
An Accurate and Robust Artificial Marker Based on Cyclic Codes.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

A 5 degrees of freedom multi-user pointing device for interactive whiteboards.
Pattern Anal. Appl., 2016

Thermodynamic Characterization of Temporal Networks.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Edge Centrality via the Holevo Quantity.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

The Average Mixing Matrix Signature.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Robust joint selection of camera orientations and feature projections over multiple views.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Quantum thermodynamics of time evolving networks.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Non-rigid dense bijective maps.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A game-theoretical approach for joint matching of multiple feature throughout unordered images.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Dense multi-view homography estimation and plane segmentation.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Spectral Dichromatic Parameter Recovery from Two Views via Total Variation Hyper-priors.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

Partial Matching of Deformable Shapes.
Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 2016

Matching Deformable Objects in Clutter.
Proceedings of the Fourth International Conference on 3D Vision, 2016

2015
A simple and effective relevance-based point sampling for 3D shapes.
Pattern Recognit. Lett., 2015

A quantum Jensen-Shannon graph kernel for unattributed graphs.
Pattern Recognit., 2015

Fast and accurate surface alignment through an isometry-enforcing game.
Pattern Recognit., 2015

Unfolding Kernel embeddings of graphs: Enhancing class separation through manifold learning.
Pattern Recognit., 2015

Thermodynamic characterization of networks using graph polynomials.
CoRR, 2015

Transitive Assignment Kernels for Structural Classification.
Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015

On the k-Anonymization of Time-Varying and Multi-Layer Social Graphs.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

A Non-parametric Spectral Model for Graph Classification.
Proceedings of the ICPRAM 2015, 2015

Dynamic Optimal Path Selection for 3D Triangulation with Multiple Cameras.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Thermodynamics of Time Evolving Networks.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

A statistical model of Riemannian metric variation for deformable shape analysis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Non-parametric Spectral Model for Shape Retrieval.
Proceedings of the 2015 International Conference on 3D Vision, 2015

2014
Abnormal behavior detection using dominant sets.
Mach. Vis. Appl., 2014

Coarse-to-fine skeleton extraction for high resolution 3D meshes.
Comput. Vis. Image Underst., 2014

Transitive State Alignment for the Quantum Jensen-Shannon Kernel.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Node Centrality for Continuous-Time Quantum Walks.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Design and Evaluation of a Viewer-Dependent Stereoscopic Display.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Camera Calibration from Coplanar Circles.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

High-Coverage 3D Scanning through Online Structured Light Calibration.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
A Game-Theoretic Approach to Pairwise Clustering and Matching.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

Pi-Tag: a fast image-space marker design based on projective invariants.
Mach. Vis. Appl., 2013

Using multiple sensors for reliable markerless identification through supervised learning.
Mach. Vis. Appl., 2013

Stable and fast techniques for unambiguous compound phase coding.
Image Vis. Comput., 2013

A Scale Independent Selection Process for 3D Object Recognition in Cluttered Scenes.
Int. J. Comput. Vis., 2013

Attributed Graph Similarity from the Quantum Jensen-Shannon Divergence.
Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

Elastic Net Constraints for Shape Matching.
Proceedings of the IEEE International Conference on Computer Vision, 2013

A Quantum Jensen-Shannon Graph Kernel Using the Continuous-Time Quantum Walk.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2013

A Continuous-Time Quantum Walk Kernel for Unattributed Graphs.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2013

Can a Fully Unconstrained Imaging Model Be Applied Effectively to Central Cameras?
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Manifold Learning and the Quantum Jensen-Shannon Divergence Kernel.
Proceedings of the Computer Analysis of Images and Patterns, 2013

2012
Editorial for the Special Issue on Graph-based representations in pattern recognition.
Pattern Recognit. Lett., 2012

A graph-based technique for semi-supervised segmentation of 3D surfaces.
Pattern Recognit. Lett., 2012

Imposing Semi-Local Geometric Constraints for Accurate Correspondences Selection in Structure from Motion: A Game-Theoretic Perspective.
Int. J. Comput. Vis., 2012

Information Theoretic Prototype Selection for Unattributed Graphs.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Approximate Axial Symmetries from Continuous Time Quantum Walks.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Pairwise similarities for scene segmentation combining color and depth data.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A stable graph-based representation for object recognition through high-order matching.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A game-theoretic approach to deformable shape matching.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Rigid and Non-rigid Shape Matching for Mechanical Components Retrieval.
Proceedings of the Computer Information Systems and Industrial Management, 2012

A Robust Multi-camera 3D Ellipse Fitting for Contactless Measurements.
Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

An Adaptive Hierarchical Approach to the Extraction of High Resolution Medial Surfaces.
Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

2011
Special issue on Graph-Based Representations in Computer Vision.
Comput. Vis. Image Underst., 2011

Supervised Learning of Graph Structure.
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

Engaging high school students in computer science via challenging applications.
Proceedings of the SIGITE' 11 ACM Special Interest Group for Information Technology Education Conference, 2011

Semi-supervised Segmentation of 3D Surfaces Using a Weighted Graph Representation.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2011

Multiview registration via graph diffusion of dual quaternions.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Sampling Relevant Points for Surface Registration.
Proceedings of the International Conference on 3D Imaging, 2011

Image-Space Marker Detection and Recognition Using Projective Invariants.
Proceedings of the International Conference on 3D Imaging, 2011

A Non-cooperative Game for 3D Object Recognition in Cluttered Scenes.
Proceedings of the International Conference on 3D Imaging, 2011

2010
A Game-Theoretic Approach to the Enforcement of Global Consistency in Multi-view Feature Matching.
Proceedings of the Structural, 2010

A Game Theoretic Approach to Learning Shape Categories and Contextual Similarities.
Proceedings of the Structural, 2010

A Game-Theoretic Approach to Robust Selection of Multi-view Point Correspondence.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Robust Figure Extraction on Textured Background: A Game-Theoretic Approach.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Loosely Distinctive Features for Robust Surface Alignment.
Proceedings of the Computer Vision - ECCV 2010, 2010

A game-theoretic approach to fine surface registration without initial motion estimation.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Robust Camera Calibration using Inaccurate Targets.
Proceedings of the British Machine Vision Conference, 2010

2009
A game-theoretic approach to partial clique enumeration.
Image Vis. Comput., 2009

Fast 3D surface reconstruction by unambiguous compound phase coding.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Matching as a non-cooperative game.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Hierarchical Pairwise Segmentation Using Dominant Sets and Anisotropic Diffusion Kernels.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

2008
Isotree: Tree clustering via metric embedding.
Neurocomputing, 2008

Supervised learning of a generative model for edge-weighted graphs.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Beyond partitions: Allowing overlapping groups in pairwise clustering.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A hypergraph-based approach to affine parameters estimation.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

An importance sampling approach to learning structural representations of shape.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Learning a Generative Model for Structural Representations.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007
Graph embedding using tree edit-union.
Pattern Recognit., 2007

Discovering Shape Classes using Tree Edit-Distance and Pairwise Clustering.
Int. J. Comput. Vis., 2007

Integrating Boundary Information in Pairwise Segmentation.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

Matching Relational Structures using the Edge-Association Graph.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

A Continuous-Based Approach for Partial Clique Enumeration.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2007

2006
Correcting curvature-density effects in the Hamilton-Jacobi skeleton.
IEEE Trans. Image Process., 2006

Similarity-based pattern recognition.
Pattern Recognit., 2006

Learning Shape-Classes Using a Mixture of Tree-Unions.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Payoff-Monotonic Game Dynamics and the Maximum Clique Problem.
Neural Comput., 2006

Grouping with Asymmetric Affinities: A Game-Theoretic Perspective.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Polynomial-Time Metrics for Attributed Trees.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Spatio-temporal Segmentation Using Dominant Sets.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

2004
Matching hierarchical structures for shape recognition.
PhD thesis, 2004

A skeletal measure of 2D shape similarity.
Comput. Vis. Image Underst., 2004

Four Metrics for Efficiently Comparing Attributed Trees.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

A Polynomial-Time Metric for Attributed Trees.
Proceedings of the Computer Vision, 2004

Learning Mixtures of Weighted Tree-Unions by Minimizing Description Length.
Proceedings of the Computer Vision, 2004

2003
Computing approximate tree edit distance using relaxation labeling.
Pattern Recognit. Lett., 2003

Curvature Dependent Skeletonization.
Proceedings of the Image Analysis, 13th Scandinavian Conference, 2003

Tree Edit Distance from Information Theory.
Proceedings of the Graph Based Representations in Pattern Recognition, 2003

Learning Mixtures of Tree-Unions by Minimizing Description Length.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

Curvature Correction of the Hamilton-Jacobi Skeleton.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Graph Clustering with Tree-Unions.
Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003

2002
Learning Structural Variations in Shock Trees.
Proceedings of the Structural, 2002

Shape-Space from Tree-Union.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Matching and Embedding through Edit-Union of Trees.
Proceedings of the Computer Vision, 2002

2001
Learning shape categories by clustering shock trees.
Proceedings of the 2001 International Conference on Image Processing, 2001

Efficiently Computing Weighted Tree Edit Distance Using Relaxation Labeling.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001

A Probabilistic Framework for Graph Clustering.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

Discovering Shape Categories by Clustering Shock Trees.
Proceedings of the Computer Analysis of Images and Patterns, 9th International Conference, 2001

2000
Continuous-time relaxation labeling processes.
Pattern Recognit., 2000


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