Luca Cosmo

Orcid: 0000-0001-7729-4666

According to our database1, Luca Cosmo authored at least 61 papers between 2012 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

SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes.
CoRR, 2024

COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations.
CoRR, 2024

Graph Generation via Spectral Diffusion.
CoRR, 2024

Multi-Source Diffusion Models for Simultaneous Music Generation and Separation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications.
Medical Image Anal., August, 2023

Differentiable Graph Module (DGM) for Graph Convolutional Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Guided diffusion for inverse molecular design.
Nat. Comput. Sci., 2023

Latent Autoregressive Source Separation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Harnessing spectral representations for subgraph alignment.
CoRR, 2022

Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications.
CoRR, 2022

Learning Spectral Unions of Partial Deformable 3D Shapes.
Comput. Graph. Forum, 2022

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

Inverse Computational Spectral Geometry.
Proceedings of the 43rd Annual Conference of the European Association for Computer Graphics, 2022

Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Graph Kernel Neural Networks.
CoRR, 2021

Unsupervised Source Separation via Bayesian Inference in the Latent Domain.
CoRR, 2021

Spectral Unions of Partial Deformable 3D Shapes.
CoRR, 2021

Shape Registration in the Time of Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning disentangled representations via product manifold projection.
Proceedings of the 38th International Conference on Machine Learning, 2021

Universal Spectral Adversarial Attacks for Deformable Shapes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Latent Patient Network Learning for Automatic Diagnosis.
CoRR, 2020

Differentiable Graph Module (DGM) Graph Convolutional Networks.
CoRR, 2020

A parametric analysis of discrete Hamiltonian functional maps.
Comput. Graph. Forum, 2020

Generating Adversarial Surfaces via Band-Limited Perturbations.
Comput. Graph. Forum, 2020

Latent-Graph Learning for Disease Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

LIMP: Learning Latent Shape Representations with Metric Preservation Priors.
Proceedings of the Computer Vision - ECCV 2020, 2020

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

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

Isospectralization, or How to Hear Shape, Style, and Correspondence.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Adaptive Albedo Compensation for Accurate Phase-Shift Coding.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Neighborhood-Based Recovery of Phase Unwrapping Faults.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Cross-Dataset Data Augmentation for Convolutional Neural Networks Training.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Partial Functional Correspondence.
Comput. Graph. Forum, 2017

Consistent Partial Matching of Shape Collections via Sparse Modeling.
Comput. Graph. Forum, 2017

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

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

Matching of Deformable Shapes with Topological Noise.
Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 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
3D acquisition and analysis with applications in interaction and contactless measurement.
PhD thesis, 2015

Phase-based spatio-temporal interpolation for accurate 3D localization in camera networks.
Pattern Recognit. Lett., 2015

Objective and Subjective Metrics for 3D Display Perception Evaluation.
Proceedings of the ICPRAM 2015, 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

On the Interplay between Data Overlay and Real-World Context using See-through Displays.
Proceedings of the 11th Biannual Conference on Italian SIGCHI Chapter, 2015

Evaluating stereo vision and user tracking in mixed reality tasks!
Proceedings of the 2015 IEEE Symposium on 3D User Interfaces, 2015

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

A low cost tracking system for position-dependent 3D visual interaction.
Proceedings of the International Working Conference on Advanced Visual Interfaces, 2014

Evaluating accuracy of perception in an adaptive stereo vision interface.
Proceedings of the International Working Conference on Advanced Visual Interfaces, 2014

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

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


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