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Spectral geometric methods in practice

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Publikacje

A parametric analysis of discrete Hamiltonian functional maps

Autorzy: E. Postolache, M. Fumero, L. Cosmo, E. Rodolà
Opublikowane w: Computer Graphics Forum, Numer 39/5, 2020, Strona(/y) 103-118, ISSN 0167-7055
Wydawca: Blackwell Publishing Inc.
DOI: 10.1111/cgf.14072

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

Autorzy: Maxime Kirgo, Simone Melzi, Giuseppe Patanè, Emanuele Rodolà, Maks Ovsjanikov
Opublikowane w: Computer Graphics Forum, Numer 40/1, 2021, Strona(/y) 165-179, ISSN 0167-7055
Wydawca: Blackwell Publishing Inc.
DOI: 10.1111/cgf.14180

Orthogonalized Fourier Polynomials for Signal Approximation and Transfer

Autorzy: F. Maggioli, S. Melzi, M. Ovsjanikov, M. M. Bronstein, E. Rodolà
Opublikowane w: Computer Graphics Forum, Numer 40/2, 2021, Strona(/y) 435-447, ISSN 0167-7055
Wydawca: Blackwell Publishing Inc.
DOI: 10.1111/cgf.142645

FARM: Functional Automatic Registration Method for 3D Human Bodies

Autorzy: R. Marin, S. Melzi, E. Rodolà, U. Castellani
Opublikowane w: Computer Graphics Forum, Numer 39/1, 2019, Strona(/y) 160-173, ISSN 0167-7055
Wydawca: Blackwell Publishing Inc.
DOI: 10.1111/cgf.13751

ZoomOut

Autorzy: Simone Melzi, Jing Ren, Emanuele Rodolà, Abhishek Sharma, Peter Wonka, Maks Ovsjanikov
Opublikowane w: ACM Transactions on Graphics, Numer 38/6, 2019, Strona(/y) 1-14, ISSN 0730-0301
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3355089.3356524

Functional Maps Representation On Product Manifolds

Autorzy: E. Rodolà, Z. Lähner, A. M. Bronstein, M. M. Bronstein, J. Solomon
Opublikowane w: Computer Graphics Forum, Numer 38/1, 2018, Strona(/y) 678-689, ISSN 0167-7055
Wydawca: Blackwell Publishing Inc.
DOI: 10.1111/cgf.13598

Nonlinear spectral geometry processing via the TV transform

Autorzy: Marco Fumero, Michael Möller, Emanuele Rodolà
Opublikowane w: ACM Transactions on Graphics, Numer 39/6, 2020, Strona(/y) 1-16, ISSN 0730-0301
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3414685.3417849

Spectral Shape Recovery and Analysis Via Data-driven Connections

Autorzy: Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi
Opublikowane w: International Journal of Computer Vision, Numer 129/10, 2021, Strona(/y) 2745-2760, ISSN 0920-5691
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s11263-021-01492-6

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

Autorzy: Danilo Avola, Luigi Cinque, Alessio Fagioli, Sebastiano Filetti, Giorgio Grani, Emanuele Rodola
Opublikowane w: IEEE Transactions on Circuits and Systems for Video Technology, 2021, Strona(/y) 1-1, ISSN 1051-8215
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcsvt.2021.3074414

Generating Adversarial Surfaces via Band‐Limited Perturbations

Autorzy: G. Mariani, L. Cosmo, A. M. Bronstein, E. Rodolà
Opublikowane w: Computer Graphics Forum, Numer 39/5, 2020, Strona(/y) 253-264, ISSN 0167-7055
Wydawca: Blackwell Publishing Inc.
DOI: 10.1111/cgf.14083

Instant recovery of shape from spectrum via latent space connections

Autorzy: Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodola, Maks Ovsjanikov, Simone Melzi
Opublikowane w: 2020 International Conference on 3D Vision (3DV), 2020, Strona(/y) 120-129, ISBN 978-1-7281-8128-8
Wydawca: IEEE
DOI: 10.1109/3dv50981.2020.00022

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

Autorzy: Viviana Arrigoni, Filippo Maggioli, Annalisa Massini, Emanuele Rodolà
Opublikowane w: 50th International Conference on Parallel Processing, 2021, Strona(/y) 1-12, ISBN 9781450390682
Wydawca: ACM
DOI: 10.1145/3472456.3473519

Cluster-driven Graph Federated Learning over Multiple Domains

Autorzy: Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodola, Barbara Caputo
Opublikowane w: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021, Strona(/y) 2743-2752, ISBN 978-1-6654-4899-4
Wydawca: IEEE
DOI: 10.1109/cvprw53098.2021.00309

Unsupervised Learning of Dense Shape Correspondence

Autorzy: Oshri Halimi, Or Litany, Emanuele Rodola Rodola, Alex M. Bronstein, Ron Kimmel
Opublikowane w: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Strona(/y) 4365-4374, ISBN 978-1-7281-3293-8
Wydawca: IEEE
DOI: 10.1109/CVPR.2019.00450

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

Autorzy: Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alex M. Bronstein, Emanuele Rodola
Opublikowane w: 2019 International Conference on 3D Vision (3DV), 2019, Strona(/y) 37-46, ISBN 978-1-7281-3131-3
Wydawca: IEEE
DOI: 10.1109/3DV.2019.00014

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

Autorzy: Riccardo Marin, Simone Melzi, Emanuele Rodola, Umberto Castellani
Opublikowane w: 2019 International Conference on 3D Vision (3DV), 2019, Strona(/y) 230-239, ISBN 978-1-7281-3131-3
Wydawca: IEEE
DOI: 10.1109/3DV.2019.00034

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

Autorzy: Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi Di Stefano, Emanuele Rodola
Opublikowane w: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Strona(/y) 4624-4633, ISBN 978-1-7281-3293-8
Wydawca: IEEE
DOI: 10.1109/CVPR.2019.00476

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

Autorzy: Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Rodola Rodola
Opublikowane w: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Strona(/y) 7521-7530, ISBN 978-1-7281-3293-8
Wydawca: IEEE
DOI: 10.1109/CVPR.2019.00771

Learning disentangled representations via product manifold projection

Autorzy: Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodola
Opublikowane w: Proceedings of the 38th International Conference on Machine Learning, Numer 139, 2021, Strona(/y) 3530-3540
Wydawca: PMLR

Universal Spectral Adversarial Attacks for Deformable Shapes

Autorzy: Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodola
Opublikowane w: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, Strona(/y) 3216-3226
Wydawca: IEEE

Towards Precise Completion of Deformable Shapes

Autorzy: Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas Guibas, Ron Kimmel
Opublikowane w: Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXIV, Numer 12369, 2020, Strona(/y) 359-377, ISBN 978-3-030-58585-3
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-58586-0_22

LIMP: Learning Latent Shape Representations with Metric Preservation Priors

Autorzy: Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà
Opublikowane w: Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part III, Numer 12348, 2020, Strona(/y) 19-35, ISBN 978-3-030-58579-2
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-58580-8_2

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