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Silvio Severino
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Andrea Santilli
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Geometric Epitope and Paratope Prediction
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Emanuele Rodolà
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Giorgio Mariani
Michele Mancusi
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2023
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Riccardo Benaglia
M. Boschini
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Cosimo Fiorini
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Simone Calderara
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Latent Autoregressive Source Separation
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Giorgio Mariani
Michele Mancusi
Andrea Santilli
Luca Cosmo
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Irene Tallini
Emilian Postolache
Michele Mancusi
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Luca Moschella
Valentino Maiorca
Marco Fumero
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Luca Zancato
Alessandro Achille
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Silvio Severino
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Giovanni Trappolini
Andrea Santilli
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Aviv A. Rosenberg
Irene Tallini
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Silvio Severino
Emilian Postolache
Valentino Maiorca
Michele Mancusi
Riccardo Marin
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2023
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Luca Moschella
Marco Fumero
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SyncFusion: Multimodal Onset-synchronized Video-to-Audio Foley Synthesis
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Joshua D. Reiss
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2023
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Luca Moschella
Antonio Norelli
Marco Fumero
Francesco Locatello
Emanuele Rodolà
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2023
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Donato Crisostomi
Stefano Esposito
Filippo Maggioli
Emanuele Rodolà
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2023
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Irene Cannistraci
Luca Moschella
Pietro Barbiero
Marco Ciccone
Píetro Lió
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2023
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Chin-Yun Yu
Emilian Postolache
Emanuele Rodolà
György Fazekas
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Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching
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2022
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R. Marino
Emanuele Rodolà
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Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach
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2022
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Marco Pegoraro
Simone Melzi
Umberto Castellani
Riccardo Marin
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Newton’s Fractals on Surfaces via Bicomplex Algebra
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2022
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Filippo Maggioli
Daniele Baieri
Simone Melzi
Emanuele Rodolà
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KiloNeuS: Implicit Neural Representations with Real-Time Global
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2022
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Daniele Baieri
Stefan Zellmann
André Hinkenjann
Emanuele Rodolà
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Learning Spectral Unions of Partial Deformable 3D Shapes
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2022
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Luca Moschella
Simone Melzi
Luca Cosmo
Filippo Maggioli
Or Litany
Maks Ovsjanikov
Leonidas Guibas
Emanuele Rodolà
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2022
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Niloofar Azizi
Horst Possegger
Emanuele Rodolà
Horst Bischof
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2022
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Valerio Mannucci
Nicolò Spagnolo
Marco Fumero
Arianna Rampini
Emanuele Rodolà
Fabio Sciarrino
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2022
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Antonio Norelli
Giorgio Mariani
Luca Moschella
Andrea Santilli
Giambattista Parascandolo
Simone Melzi
Emanuele Rodolà
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2022
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Nicola Zonca
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Silvia Zuffi
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Spectral Maps for Learning on Subgraphs
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Riccardo Marin
Arianna Rampini
Simone Melzi
Luca Cosmo
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2022
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Abhinav Rastogi
Abhishek S. Rao
Abu Awal Shoeb
Abubakar Abid
Adam Fisch
Adam R. Brown
Adam Santoro
Aditya Gupta
Adrià Garriga-Alonso
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2022
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Donato Crisostomi
Simone Antonelli
Valentino Maiorca
Luca Moschella
Riccardo Marin
Emanuele Rodolà
|
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2022
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Giovanni Trappolini
Valentino Maiorca
Silvio Severino
Emanuele Rodolà
Fabrizio Silvestri
Gabriele Tolomei
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2022
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Luca Moschella
Valentino Maiorca
Marco Fumero
Antonio Norelli
Francesco Locatello
Emanuele Rodolà
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2022
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Antonio Norelli
Marco Fumero
Valentino Maiorca
Luca Moschella
Emanuele Rodolà
Francesco Locatello
|
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2022
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Stefano Esposito
Daniele Baieri
Stefan Zellmann
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2022
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Riccardo Marin
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|
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3D Human Pose Estimation Using Möbius Graph Convolutional Networks
|
2022
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Horst Possegger
Emanuele Rodolà
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Graph Kernel Neural Networks
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2021
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Luca Cosmo
Giorgia Minello
Michael M. Bronstein
Emanuele Rodolà
Luca Rossi
Andrea Torsello
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Filippo Maggioli
Annalisa Massini
Emanuele Rodolà
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Michele Mancusi
Emilian Postolache
Marco Fumero
Andrea Santilli
Luca Cosmo
Emanuele Rodolà
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Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose
|
2021
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Viviana Arrigoni
Filippo Maggioli
Annalisa Massini
Emanuele Rodolà
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2021
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Marco Pegoraro
Riccardo Marin
Simone Melzi
Emanuele Rodolà
Umberto Castellani
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2021
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Giovanni Trappolini
Luca Cosmo
Luca Moschella
Riccardo Marin
Simone Melzi
Emanuele Rodolà
|
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Universal Spectral Adversarial Attacks for Deformable Shapes
|
2021
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Arianna Rampini
Franco Pestarini
Luca Cosmo
Simone Melzi
Emanuele Rodolà
|
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Cluster-driven Graph Federated Learning over Multiple Domains
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2021
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Debora Caldarola
Massimiliano Mancini
Fabio Galasso
Marco Ciccone
Emanuele Rodolà
Barbara Caputo
|
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2021
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Debora Caldarola
Massimiliano Mancini
Fabio Galasso
Marco Ciccone
Emanuele Rodolà
Barbara Caputo
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Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification
|
2021
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Danilo Avola
Luigi Cinque
Alessio Fagioli
Sébastiano Filetti
Giorgio Grani
Emanuele Rodolà
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2021
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Arianna Rampini
Franco Pestarini
Luca Cosmo
Simone Melzi
Emanuele Rodolà
|
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2021
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Luca Moschella
Simone Melzi
Luca Cosmo
Filippo Maggioli
Or Litany
Maks Ovsjanikov
Leonidas Guibas
Emanuele Rodolà
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2021
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Marco Fumero
Luca Cosmo
Simone Melzi
Emanuele Rodolà
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Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose
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2021
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Viviana Arrigoni
Filippo Maggioli
Annalisa Massini
Emanuele Rodolà
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Unsupervised Source Separation via Bayesian Inference in the Latent Domain
|
2021
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Michele Mancusi
Emilian Postolache
Giorgio Mariani
Marco Fumero
Andrea Santilli
Luca Cosmo
Emanuele Rodolà
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Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach
|
2021
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Simone Melzi
Umberto Castellani
Riccardo Marin
Emanuele Rodolà
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Cluster-driven Graph Federated Learning over Multiple Domains
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2021
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Debora Caldarola
Massimiliano Mancini
Fabio Galasso
Marco Ciccone
Emanuele Rodolà
Barbara Caputo
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Universal Spectral Adversarial Attacks for Deformable Shapes
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2021
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Arianna Rampini
Franco Pestarini
Luca Cosmo
Simone Melzi
Emanuele Rodolà
|
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Learning Spectral Unions of Partial Deformable 3D Shapes
|
2021
|
Luca Moschella
Simone Melzi
Luca Cosmo
Filippo Maggioli
Or Litany
Maks Ovsjanikov
Leonidas Guibas
Emanuele Rodolà
|
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Learning disentangled representations via product manifold projection
|
2021
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Marco Fumero
Luca Cosmo
Simone Melzi
Emanuele Rodolà
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Shape registration in the time of transformers
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2021
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Luca Cosmo
Luca Moschella
Riccardo Marin
Simone Melzi
Emanuele Rodolà
|
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2021
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Luca Cosmo
Giorgia Minello
Michael M. Bronstein
Emanuele Rodolà
Luca Rossi
Andrea Torsello
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|
2021
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Riccardo Marin
Souhaib Attaiki
Simone Melzi
Emanuele Rodolà
Maks Ovsjanikov
|
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Nonlinear spectral geometry processing via the TV transform
|
2020
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Marco Fumero
Michael Möller
Emanuele Rodolà
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Wavelet‐based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis
|
2020
|
Maxime Kirgo
Simone Melzi
Giuseppe Patanè
Emanuele Rodolà
Maks Ovsjanikov
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Instant recovery of shape from spectrum via latent space connections
|
2020
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Riccardo Marin
Arianna Rampini
Umberto Castellani
Emanuele Rodolà
Maks Ovsjanikov
Simone Melzi
|
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High-Resolution Augmentation for Automatic Template-Based Matching of Human Models.
|
2020
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Riccardo Marin
Simone Melzi
Emanuele Rodolà
Umberto Castellani
|
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Nonlinear Spectral Geometry Processing via the TV Transform
|
2020
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Marco Fumero
Michael Moeller
Emanuele Rodolà
|
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Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification.
|
2020
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Danilo Avola
Luigi Cinque
Alessio Fagioli
Sébastiano Filetti
Giorgio Grani
Emanuele Rodolà
|
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|
2020
|
Oshri Halimi
Ido Imanuel
Or Litany
Giovanni Trappolini
Emanuele Rodolà
Leonidas Guibas
Ron Kimmel
|
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PDF
Chat
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Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis
|
2020
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Maxime Kirgo
Simone Melzi
Giuseppe Patanè
Emanuele Rodolà
Maks Ovsjanikov
|
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LIMP: Learning Latent Shape Representations with Metric Preservation Priors
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2020
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Luca Cosmo
Antonio Norelli
Oshri Halimi
Ron Kimmel
Emanuele Rodolà
|
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2020
|
Riccardo Marin
Simone Melzi
Emanuele Rodolà
Umberto Castellani
|
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Nonlinear Spectral Geometry Processing via the TV Transform
|
2020
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Marco Fumero
Michael Moeller
Emanuele Rodolà
|
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High-Resolution Augmentation for Automatic Template-Based Matching of Human Models
|
2019
|
Riccardo Marin
Simone Melzi
Emanuele Rodolà
Umberto Castellani
|
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Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment
|
2019
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Arianna Rampini
Irene Tallini
Maks Ovsjanikov
Alex Bronstein
Emanuele Rodolà
|
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PDF
Chat
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FARM: Functional Automatic Registration Method for 3D Human Bodies
|
2019
|
Riccardo Marin
Simone Melzi
Emanuele Rodolà
Umberto Castellani
|
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Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment
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2019
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Arianna Rampini
Irene Tallini
Maks Ovsjanikov
Alex Bronstein
Emanuele Rodolà
|
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Functional Maps Representation On Product Manifolds
|
2019
|
Emanuele Rodolà
Zorah Lähner
Alex Bronstein
Michael M. Bronstein
Justin Solomon
|
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ZoomOut: Spectral Upsampling for Efficient Shape Correspondence
|
2019
|
Simone Melzi
Jing Ren
Emanuele Rodolà
Abhishek Sharma
Peter Wonka
Maks Ovsjanikov
|
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Shape Correspondence with Isometric and Non-Isometric Deformations
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2019
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Roberto M. Dyke
Chris Stride
Yu‐Kun Lai
Paul L. Rosin
Mathieu Aubry
Amit Boyarski
Alexander M. Bronstein
Michael M. Bronstein
Daniel Cremers
Matthew Fisher
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Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment
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2019
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Arianna Rampini
Irene Tallini
Maks Ovsjanikov
Alex Bronstein
Emanuele Rodolà
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+
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Self-supervised Learning of Dense Shape Correspondence
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2018
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Oshri Halimi
Or Litany
Emanuele Rodolà
Alex Bronstein
Ron Kimmel
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+
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Functional Maps Representation on Product Manifolds
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2018
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Emanuele Rodolà
Zorah Lähner
Alex Bronstein
Michael M. Bronstein
Justin Solomon
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+
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FARM: Functional Automatic Registration Method for 3D Human Bodies
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2018
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Riccardo Marin
Simone Melzi
Emanuele Rodolà
Umberto Castellani
|
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+
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Functional Maps Representation on Product Manifolds
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2018
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Emanuele Rodolà
Zorah Lähner
Alex Bronstein
Michael M. Bronstein
Justin Solomon
|
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+
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FARM: Functional Automatic Registration Method for 3D Human Bodies
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2018
|
Riccardo Marin
Simone Melzi
Emanuele Rodolà
Umberto Castellani
|
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+
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Self-supervised Learning of Dense Shape Correspondence
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2018
|
Oshri Halimi
Or Litany
Emanuele Rodolà
Alex Bronstein
Ron Kimmel
|
|
+
PDF
Chat
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Localized Manifold Harmonics for Spectral Shape Analysis
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2017
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Simone Melzi
Emanuele Rodolà
Umberto Castellani
Michael M. Bronstein
|
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+
PDF
Chat
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Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
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2017
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Or Litany
Tal Remez
Emanuele Rodolà
Alex Bronstein
Michael M. Bronstein
|
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+
PDF
Chat
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Efficient Deformable Shape Correspondence via Kernel Matching
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2017
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Matthias Vestner
Zorah Lähner
Amit Boyarski
Or Litany
Ron Slossberg
Tal Remez
Emanuele Rodolà
Alex Bronstein
Michael M. Bronstein
Ron Kimmel
|
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+
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Efficient Deformable Shape Correspondence via Kernel Matching
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2017
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Zorah Lähner
Matthias Vestner
Amit Boyarski
Or Litany
Ron Slossberg
Tal Remez
Emanuele Rodolà
Alex Bronstein
Michael M. Bronstein
Ron Kimmel
|
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+
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Localized Manifold Harmonics for Spectral Shape Analysis
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2017
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Simone Melzi
Emanuele Rodolà
Umberto Castellani
Michael M. Bronstein
|
|
+
PDF
Chat
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Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
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2017
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Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
Michael M. Bronstein
|
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+
PDF
Chat
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Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space
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2017
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Matthias Vestner
Roee Litman
Emanuele Rodolà
Alex Bronstein
Daniel Cremers
|
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+
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Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
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2017
|
Or Litany
Tal Remez
Emanuele Rodolà
Alex Bronstein
Michael M. Bronstein
|
|
+
|
Efficient Deformable Shape Correspondence via Kernel Matching
|
2017
|
Zorah Lähner
Matthias Vestner
Amit Boyarski
Or Litany
Ron Slossberg
Tal Remez
Emanuele Rodolà
Alex Bronstein
Michael M. Bronstein
Ron Kimmel
|
|
+
|
Localized Manifold Harmonics for Spectral Shape Analysis
|
2017
|
Simone Melzi
Emanuele Rodolà
Umberto Castellani
Michael M. Bronstein
|
|
+
|
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
|
2017
|
Or Litany
Tal Remez
Emanuele Rodolà
Alex Bronstein
Michael M. Bronstein
|
|
+
|
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space
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2017
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Matthias Vestner
Roee Litman
Emanuele Rodolà
Alex Bronstein
Daniel Cremers
|
|
+
PDF
Chat
|
Non‐Rigid Puzzles
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2016
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Or Litany
Emanuele Rodolà
A. M. Bronstein
Michael M. Bronstein
Daniel Cremers
|
|
+
PDF
Chat
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Efficient Globally Optimal 2D-to-3D Deformable Shape Matching
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2016
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Zorah Lähner
Emanuele Rodolà
Frank Schmidt
Michael M. Bronstein
Daniel Cremers
|
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+
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Learning shape correspondence with anisotropic convolutional neural networks
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2016
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Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Michael M. Bronstein
|
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+
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Deep learning for shape analysis
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2016
|
Michael M. Bronstein
Evangelos Kalogerakis
Emanuele Rodolà
Jonathan Masci
Davide Boscaini
|
|
+
PDF
Chat
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Partial Functional Correspondence
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2016
|
Emanuele Rodolà
Luca Cosmo
Michael M. Bronstein
Andrea Torsello
Daniel Cremers
|
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+
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Efficient Globally Optimal 2D-to-3D Deformable Shape Matching
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2016
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Zorah Lähner
Emanuele Rodolà
Frank Schmidt
Michael M. Bronstein
Daniel Cremers
|
|
+
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Bayesian Inference of Bijective Non-Rigid Shape Correspondence
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2016
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Matthias Vestner
Roee Litman
Alexander M. Bronstein
Emanuele Rodolà
Daniel Cremers
|
|
+
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Learning shape correspondence with anisotropic convolutional neural networks
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2016
|
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Michael M. Bronstein
|
|
+
|
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching
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2016
|
Zorah Lähner
Emanuele Rodolà
F. Schmidt
Michael M. Bronstein
Daniel Cremers
|
|
+
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Geometric deep learning on graphs and manifolds using mixture model CNNs
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2016
|
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
Michael M. Bronstein
|
|
+
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Point-wise Map Recovery and Refinement from Functional Correspondence
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2015
|
Emanuele Rodolà
Michael Moeller
Daniel Cremers
|
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+
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Partial Functional Correspondence
|
2015
|
Emanuele Rodolà
Luca Cosmo
Michael M. Bronstein
Andrea Torsello
Daniel Cremers
|
|
+
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Point-wise Map Recovery and Refinement from Functional Correspondence
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2015
|
Emanuele Rodolà
Michael Moeller
Daniel Cremers
|
|
+
PDF
Chat
|
Anisotropic Laplace-Beltrami Operators for Shape Analysis
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2015
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Mathieu Andreux
Emanuele Rodolà
Mathieu Aubry
Daniel Cremers
|
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+
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Partial Functional Correspondence
|
2015
|
Emanuele Rodolà
Luca Cosmo
Michael M. Bronstein
Andrea Torsello
Daniel Cremers
|