Spectral geometric methods in practice

Project Information

SPECGEO

Grant agreement ID: 802554

DOI 10.3030/802554

Project closed

EC signature date 31 August 2018

Start date 1 September 2018

End date 31 August 2024

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 1 434 000,00

EU contribution € 1 434 000,00

Coordinated by

UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Italy

Deliverables

Open Research Data Pilot (1)

Data Management Plan

Publications

Peer reviewed articles (10)

A parametric analysis of discrete Hamiltonian functional maps

Author(s): E. Postolache, M. Fumero, L. Cosmo, E. Rodolà
Published in: Computer Graphics Forum, Issue 39/5, 2020, Page(s) 103-118, ISSN 0167-7055
Publisher: Blackwell Publishing Inc.
DOI: 10.1111/cgf.14072

Wavelet‐based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis

Author(s): Maxime Kirgo, Simone Melzi, Giuseppe Patanè, Emanuele Rodolà, Maks Ovsjanikov
Published in: Computer Graphics Forum, Issue 40/1, 2021, Page(s) 165-179, ISSN 0167-7055
Publisher: Blackwell Publishing Inc.
DOI: 10.1111/cgf.14180

Orthogonalized Fourier Polynomials for Signal Approximation and Transfer

Author(s): F. Maggioli, S. Melzi, M. Ovsjanikov, M. M. Bronstein, E. Rodolà
Published in: Computer Graphics Forum, Issue 40/2, 2021, Page(s) 435-447, ISSN 0167-7055
Publisher: Blackwell Publishing Inc.
DOI: 10.1111/cgf.142645

FARM: Functional Automatic Registration Method for 3D Human Bodies

Author(s): R. Marin, S. Melzi, E. Rodolà, U. Castellani
Published in: Computer Graphics Forum, Issue 39/1, 2019, Page(s) 160-173, ISSN 0167-7055
Publisher: Blackwell Publishing Inc.
DOI: 10.1111/cgf.13751

ZoomOut

Author(s): Simone Melzi, Jing Ren, Emanuele Rodolà, Abhishek Sharma, Peter Wonka, Maks Ovsjanikov
Published in: ACM Transactions on Graphics, Issue 38/6, 2019, Page(s) 1-14, ISSN 0730-0301
Publisher: Association for Computing Machinary, Inc.
DOI: 10.1145/3355089.3356524

Functional Maps Representation On Product Manifolds

Author(s): E. Rodolà, Z. Lähner, A. M. Bronstein, M. M. Bronstein, J. Solomon
Published in: Computer Graphics Forum, Issue 38/1, 2018, Page(s) 678-689, ISSN 0167-7055
Publisher: Blackwell Publishing Inc.
DOI: 10.1111/cgf.13598

Nonlinear spectral geometry processing via the TV transform

Author(s): Marco Fumero, Michael Möller, Emanuele Rodolà
Published in: ACM Transactions on Graphics, Issue 39/6, 2020, Page(s) 1-16, ISSN 0730-0301
Publisher: Association for Computing Machinary, Inc.
DOI: 10.1145/3414685.3417849

Spectral Shape Recovery and Analysis Via Data-driven Connections

Author(s): Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi
Published in: International Journal of Computer Vision, Issue 129/10, 2021, Page(s) 2745-2760, ISSN 0920-5691
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s11263-021-01492-6

Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification

Author(s): Danilo Avola, Luigi Cinque, Alessio Fagioli, Sebastiano Filetti, Giorgio Grani, Emanuele Rodola
Published in: IEEE Transactions on Circuits and Systems for Video Technology, 2021, Page(s) 1-1, ISSN 1051-8215
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcsvt.2021.3074414

Generating Adversarial Surfaces via Band‐Limited Perturbations

Author(s): G. Mariani, L. Cosmo, A. M. Bronstein, E. Rodolà
Published in: Computer Graphics Forum, Issue 39/5, 2020, Page(s) 253-264, ISSN 0167-7055
Publisher: Blackwell Publishing Inc.
DOI: 10.1111/cgf.14083

Conference proceedings (10)

Instant recovery of shape from spectrum via latent space connections

Author(s): Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodola, Maks Ovsjanikov, Simone Melzi
Published in: 2020 International Conference on 3D Vision (3DV), 2020, Page(s) 120-129, ISBN 978-1-7281-8128-8
Publisher: IEEE
DOI: 10.1109/3dv50981.2020.00022

Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose

Author(s): Viviana Arrigoni, Filippo Maggioli, Annalisa Massini, Emanuele Rodolà
Published in: 50th International Conference on Parallel Processing, 2021, Page(s) 1-12, ISBN 9781450390682
Publisher: ACM
DOI: 10.1145/3472456.3473519

Cluster-driven Graph Federated Learning over Multiple Domains

Author(s): Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodola, Barbara Caputo
Published in: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021, Page(s) 2743-2752, ISBN 978-1-6654-4899-4
Publisher: IEEE
DOI: 10.1109/cvprw53098.2021.00309

Unsupervised Learning of Dense Shape Correspondence

Author(s): Oshri Halimi, Or Litany, Emanuele Rodola Rodola, Alex M. Bronstein, Ron Kimmel
Published in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Page(s) 4365-4374, ISBN 978-1-7281-3293-8
Publisher: IEEE
DOI: 10.1109/CVPR.2019.00450

Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment

Author(s): Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alex M. Bronstein, Emanuele Rodola
Published in: 2019 International Conference on 3D Vision (3DV), 2019, Page(s) 37-46, ISBN 978-1-7281-3131-3
Publisher: IEEE
DOI: 10.1109/3DV.2019.00014

High-Resolution Augmentation for Automatic Template-Based Matching of Human Models

Author(s): Riccardo Marin, Simone Melzi, Emanuele Rodola, Umberto Castellani
Published in: 2019 International Conference on 3D Vision (3DV), 2019, Page(s) 230-239, ISBN 978-1-7281-3131-3
Publisher: IEEE
DOI: 10.1109/3DV.2019.00034

GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching

Author(s): Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi Di Stefano, Emanuele Rodola
Published in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Page(s) 4624-4633, ISBN 978-1-7281-3293-8
Publisher: IEEE
DOI: 10.1109/CVPR.2019.00476

Isospectralization, or How to Hear Shape, Style, and Correspondence

Author(s): Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Rodola Rodola
Published in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Page(s) 7521-7530, ISBN 978-1-7281-3293-8
Publisher: IEEE
DOI: 10.1109/CVPR.2019.00771

Learning disentangled representations via product manifold projection

Author(s): Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodola
Published in: Proceedings of the 38th International Conference on Machine Learning, Issue 139, 2021, Page(s) 3530-3540
Publisher: PMLR

Universal Spectral Adversarial Attacks for Deformable Shapes

Author(s): Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodola
Published in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, Page(s) 3216-3226
Publisher: IEEE

Book chapters (2)

Towards Precise Completion of Deformable Shapes

Author(s): Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas Guibas, Ron Kimmel
Published in: Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXIV, Issue 12369, 2020, Page(s) 359-377, ISBN 978-3-030-58585-3
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-58586-0_22

LIMP: Learning Latent Shape Representations with Metric Preservation Priors

Author(s): Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà
Published in: Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part III, Issue 12348, 2020, Page(s) 19-35, ISBN 978-3-030-58579-2
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-58580-8_2