Emanuele Rodolà

Orcid: 0000-0003-0091-7241

According to our database1, Emanuele Rodolà authored at least 150 papers between 2009 and 2024.

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Bibliography

2024
Sparse Vicious Attacks on Graph Neural Networks.
IEEE Trans. Artif. Intell., May, 2024

Latent spectral regularization for continual learning.
Pattern Recognit. Lett., 2024

Detecting and Approximating Redundant Computational Blocks in Neural Networks.
CoRR, 2024

Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions.
CoRR, 2024

Latent Space Translation via Inverse Relative Projection.
CoRR, 2024

Latent Functional Maps.
CoRR, 2024

C<sup>2</sup>M<sup>3</sup>: Cycle-Consistent Multi-Model Merging.
CoRR, 2024

Implicit-ARAP: Efficient Handle-Guided Deformation of High-Resolution Meshes and Neural Fields via Local Patch Meshing.
CoRR, 2024

Naturalistic Music Decoding from EEG Data via Latent Diffusion Models.
CoRR, 2024

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

Zero-Shot Stitching in Reinforcement Learning using Relative Representations.
CoRR, 2024

GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting.
CoRR, 2024

MV-MS-FETE: Multi-view multi-scale feature extractor and transformer encoder for stenosis recognition in echocardiograms.
Comput. Methods Programs Biomed., 2024

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

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication.
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

Syncfusion: Multimodal Onset-Synchronized Video-to-Audio Foley Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2024

Vector Quantile Regression on Manifolds.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

Zero-Shot Duet Singing Voices Separation with Diffusion Models.
CoRR, 2023

From Charts to Atlas: Merging Latent Spaces into One.
CoRR, 2023

Efficient Generation of Multimodal Fluid Simulation Data.
CoRR, 2023

Geometric Epitope and Paratope Prediction.
CoRR, 2023

Massive Uniform Mesh Decimation via a Fast Intrinsic Delaunay Triangulation.
CoRR, 2023

Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid Dynamics Priors.
CoRR, 2023

CaSpeR: Latent Spectral Regularization for Continual Learning.
CoRR, 2023

Preface of UniReps: the First Workshop on Unifying Representations in Neural Models.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

Multimodal Neural Databases.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Physically-inspired Approach to the Simulation of Plant Wilting.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Latent Space Translation via Semantic Alignment.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Leveraging sparse and shared feature activations for disentangled representation learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploiting Music Source Separation For Singing Voice Detection.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Fauno: The Italian Large Language Model that will leave you senza parole!
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

Relative representations enable zero-shot latent space communication.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Bootstrapping Parallel Anchors for Relative Representations.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Latent Code Disentanglement Using Orthogonal Latent Codes and Inter-Domain Signal Transformation.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Camoscio: An Italian Instruction-tuned LLaMA.
Proceedings of the 9th Italian Conference on Computational Linguistics, Venice, Italy, November 30, 2023

Accelerating Transformer Inference for Translation via Parallel Decoding.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

2022
MoMaS: Mold Manifold Simulation for real-time procedural texturing.
Comput. Graph. Forum, October, 2022

Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification.
IEEE Trans. Circuits Syst. Video Technol., 2022

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

KiloNeuS: Implicit Neural Representations with Real-Time Global Illumination.
CoRR, 2022

Harnessing spectral representations for subgraph alignment.
CoRR, 2022

Explanatory Learning: Beyond Empiricism in Neural Networks.
CoRR, 2022

Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation.
CoRR, 2022

Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach.
Comput. Graph. Forum, 2022

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

Foreword to the Special Section on Smart Tools and Applications in Graphics (STAG 2021).
Comput. Graph., 2022

Newton's Fractals on Surfaces via Bicomplex Algebra.
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Posters, Vancouver BC Canada, August 7, 2022

Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Metric Based Few-Shot Graph Classification.
Proceedings of the Learning on Graphs Conference, 2022

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

3D Human Pose Estimation Using Möbius Graph Convolutional Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Spectral Shape Recovery and Analysis Via Data-driven Connections.
Int. J. Comput. Vis., 2021

Graph Kernel Neural Networks.
CoRR, 2021

Why you should learn functional basis.
CoRR, 2021

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

Learning to generate shape from global-local spectra.
CoRR, 2021

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

Orthogonalized Fourier Polynomials for Signal Approximation and Transfer.
Comput. Graph. Forum, 2021

Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis.
Comput. Graph. Forum, 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

Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 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

Cluster-Driven Graph Federated Learning Over Multiple Domains.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Nonlinear spectral geometry processing via the TV transform.
ACM Trans. Graph., 2020

2-D Skeleton-Based Action Recognition via Two-Branch Stacked LSTM-RNNs.
IEEE Trans. Multim., 2020

Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification.
CoRR, 2020

The Whole Is Greater Than the Sum of Its Nonrigid Parts.
CoRR, 2020

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

FARM: Functional Automatic Registration Method for 3D Human Bodies.
Comput. Graph. Forum, 2020

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

Towards Precise Completion of Deformable Shapes.
Proceedings of the Computer Vision - ECCV 2020, 2020

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

Instant recovery of shape from spectrum via latent space connections.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
ZoomOut: spectral upsampling for efficient shape correspondence.
ACM Trans. Graph., 2019

ZoomOut: Spectral Upsampling for Efficient Shape Correspondence.
CoRR, 2019

Functional Maps Representation On Product Manifolds.
Comput. Graph. Forum, 2019

Deep Learning for Computer Graphics and Geometry Processing.
Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Unsupervised Learning of Dense Shape Correspondence.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Matching Humans with Different Connectivity.
Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019


Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment.
Proceedings of the 2019 International Conference on 3D Vision, 2019

High-Resolution Augmentation for Automatic Template-Based Matching of Human Models.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Self-supervised Learning of Dense Shape Correspondence.
CoRR, 2018

Improved Functional Mappings via Product Preservation.
Comput. Graph. Forum, 2018

Localized Manifold Harmonics for Spectral Shape Analysis.
Comput. Graph. Forum, 2018

Functional Maps on Product Manifolds.
Proceedings of the 16th Eurographics Symposium on Geometry Processing, 2018

Structured Prediction of Dense Maps between Geometric Domains.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Regularized Pointwise Map Recovery from Functional Correspondence.
Comput. Graph. Forum, 2017

Partial Functional Correspondence.
Comput. Graph. Forum, 2017

Fully Spectral Partial Shape Matching.
Comput. Graph. Forum, 2017

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

Deep Functional Maps: Structured Prediction for Dense Shape Correspondence.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


Efficient Deformable Shape Correspondence via Kernel Matching.
Proceedings of the 2017 International Conference on 3D 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

Bayesian Inference of Bijective Non-Rigid Shape Correspondence.
CoRR, 2016

Non-Rigid Puzzles.
Comput. Graph. Forum, 2016

Anisotropic Diffusion Descriptors.
Comput. Graph. Forum, 2016

Computing and processing correspondences with functional maps.
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Courses, 2016

Geometric deep learning.
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Courses, 2016

Learning shape correspondence with anisotropic convolutional neural networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

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

Deep Learning for Shape Analysis.
Proceedings of the 37th Annual Conference of the European Association for Computer Graphics, 2016

Efficient Globally Optimal 2D-to-3D Deformable Shape Matching.
Proceedings of the 2016 IEEE Conference on Computer Vision and 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

Shape Analysis with Anisotropic Windowed Fourier Transform.
Proceedings of the Fourth International Conference on 3D Vision, 2016

Coupled Functional Maps.
Proceedings of the Fourth International Conference on 3D Vision, 2016

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

Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence.
Proceedings of the Perspectives in Shape Analysis, 2016

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

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

Realistic photometric stereo using partial differential irradiance equation ratios.
Comput. Graph., 2015

Point-wise Map Recovery and Refinement from Functional Correspondence.
Proceedings of the 20th International Symposium on Vision, Modeling, and Visualization, 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

2014
Robust Region Detection via Consensus Segmentation of Deformable Shapes.
Comput. Graph. Forum, 2014

Anisotropic Laplace-Beltrami Operators for Shape Analysis.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Dense Non-rigid Shape Correspondence Using Random Forests.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis.
Proceedings of the British Machine Vision Conference, 2014

Learning Similarities for Rigid and Non-rigid Object Detection.
Proceedings of the 2nd International Conference on 3D Vision, 2014

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

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

Efficient Shape Matching using Vector Extrapolation.
Proceedings of the British Machine Vision Conference, 2013

2012
Sparse and robust matching problem for 3D shape analysis.
PhD thesis, 2012

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

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

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

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


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