Risultati finali Open Research Data Pilot (1) Data Management Plan Pubblicazioni Peer reviewed articles (11) A parametric analysis of discrete Hamiltonian functional maps Autori: E. Postolache, M. Fumero, L. Cosmo, E. Rodolà Pubblicato in: Computer Graphics Forum, Issue 39/5, 2020, Page(s) 103-118, ISSN 0167-7055 Editore: Blackwell Publishing Inc. DOI: 10.1111/cgf.14072 Wavelet‐based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis Autori: Maxime Kirgo, Simone Melzi, Giuseppe Patanè, Emanuele Rodolà, Maks Ovsjanikov Pubblicato in: Computer Graphics Forum, Issue 40/1, 2021, Page(s) 165-179, ISSN 0167-7055 Editore: Blackwell Publishing Inc. DOI: 10.1111/cgf.14180 Orthogonalized Fourier Polynomials for Signal Approximation and Transfer Autori: F. Maggioli, S. Melzi, M. Ovsjanikov, M. M. Bronstein, E. Rodolà Pubblicato in: Computer Graphics Forum, Issue 40/2, 2021, Page(s) 435-447, ISSN 0167-7055 Editore: Blackwell Publishing Inc. DOI: 10.1111/cgf.142645 FARM: Functional Automatic Registration Method for 3D Human Bodies Autori: R. Marin, S. Melzi, E. Rodolà, U. Castellani Pubblicato in: Computer Graphics Forum, Issue 39/1, 2019, Page(s) 160-173, ISSN 0167-7055 Editore: Blackwell Publishing Inc. DOI: 10.1111/cgf.13751 Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning Autori: P. Gainza, F. Sverrisson, F. Monti, E. Rodolà, D. Boscaini, M. M. Bronstein, B. E. Correia Pubblicato in: Nature Methods, Issue 2, 2020, Page(s) 184-192, ISSN 1548-7091 Editore: Nature Publishing Group DOI: 10.1038/s41592-019-0666-6 ZoomOut Autori: Simone Melzi, Jing Ren, Emanuele Rodolà, Abhishek Sharma, Peter Wonka, Maks Ovsjanikov Pubblicato in: ACM Transactions on Graphics, Issue 38/6, 2019, Page(s) 1-14, ISSN 0730-0301 Editore: Association for Computing Machinary, Inc. DOI: 10.1145/3355089.3356524 Functional Maps Representation On Product Manifolds Autori: E. Rodolà, Z. Lähner, A. M. Bronstein, M. M. Bronstein, J. Solomon Pubblicato in: Computer Graphics Forum, Issue 38/1, 2018, Page(s) 678-689, ISSN 0167-7055 Editore: Blackwell Publishing Inc. DOI: 10.1111/cgf.13598 Nonlinear spectral geometry processing via the TV transform Autori: Marco Fumero, Michael Möller, Emanuele Rodolà Pubblicato in: ACM Transactions on Graphics, Issue 39/6, 2020, Page(s) 1-16, ISSN 0730-0301 Editore: Association for Computing Machinary, Inc. DOI: 10.1145/3414685.3417849 Spectral Shape Recovery and Analysis Via Data-driven Connections Autori: Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi Pubblicato in: International Journal of Computer Vision, Issue 129/10, 2021, Page(s) 2745-2760, ISSN 0920-5691 Editore: Kluwer Academic Publishers DOI: 10.1007/s11263-021-01492-6 Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification Autori: Danilo Avola, Luigi Cinque, Alessio Fagioli, Sebastiano Filetti, Giorgio Grani, Emanuele Rodola Pubblicato in: IEEE Transactions on Circuits and Systems for Video Technology, 2021, Page(s) 1-1, ISSN 1051-8215 Editore: Institute of Electrical and Electronics Engineers DOI: 10.1109/tcsvt.2021.3074414 Generating Adversarial Surfaces via Band‐Limited Perturbations Autori: G. Mariani, L. Cosmo, A. M. Bronstein, E. Rodolà Pubblicato in: Computer Graphics Forum, Issue 39/5, 2020, Page(s) 253-264, ISSN 0167-7055 Editore: Blackwell Publishing Inc. DOI: 10.1111/cgf.14083 Conference proceedings (13) Instant recovery of shape from spectrum via latent space connections Autori: Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodola, Maks Ovsjanikov, Simone Melzi Pubblicato in: 2020 International Conference on 3D Vision (3DV), 2020, Page(s) 120-129, ISBN 978-1-7281-8128-8 Editore: IEEE DOI: 10.1109/3dv50981.2020.00022 Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose Autori: Viviana Arrigoni, Filippo Maggioli, Annalisa Massini, Emanuele Rodolà Pubblicato in: 50th International Conference on Parallel Processing, 2021, Page(s) 1-12, ISBN 9781450390682 Editore: ACM DOI: 10.1145/3472456.3473519 Cluster-driven Graph Federated Learning over Multiple Domains Autori: Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodola, Barbara Caputo Pubblicato in: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021, Page(s) 2743-2752, ISBN 978-1-6654-4899-4 Editore: IEEE DOI: 10.1109/cvprw53098.2021.00309 Unsupervised Learning of Dense Shape Correspondence Autori: Oshri Halimi, Or Litany, Emanuele Rodola Rodola, Alex M. Bronstein, Ron Kimmel Pubblicato in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Page(s) 4365-4374, ISBN 978-1-7281-3293-8 Editore: IEEE DOI: 10.1109/CVPR.2019.00450 Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment Autori: Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alex M. Bronstein, Emanuele Rodola Pubblicato in: 2019 International Conference on 3D Vision (3DV), 2019, Page(s) 37-46, ISBN 978-1-7281-3131-3 Editore: IEEE DOI: 10.1109/3DV.2019.00014 SHREC’19: matching humans with different connectivity Autori: Melzi, S.; Marin, R.; Rodolà, E.; Castellani, U.; Ren, J.; Poulenard, A.; Wonka,; and Ovsjanikov, P. Pubblicato in: 12th EG Workshop 3D Object Retrieval, 2019 Editore: The Eurographics Association DOI: 10.2312/3dor.20191070 High-Resolution Augmentation for Automatic Template-Based Matching of Human Models Autori: Riccardo Marin, Simone Melzi, Emanuele Rodola, Umberto Castellani Pubblicato in: 2019 International Conference on 3D Vision (3DV), 2019, Page(s) 230-239, ISBN 978-1-7281-3131-3 Editore: IEEE DOI: 10.1109/3DV.2019.00034 GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching Autori: Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi Di Stefano, Emanuele Rodola Pubblicato in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Page(s) 4624-4633, ISBN 978-1-7281-3293-8 Editore: IEEE DOI: 10.1109/CVPR.2019.00476 SHREC’19: Shape correspondence with isometric and non-isometric deformations Autori: Dyke, R. M.; Stride, C.; Lai, Y. -K.; Rosin, P. L.; Aubry, M.; Boyarski, A.; Bronstein, A. M.; Bronstein, M. M.; Cremers, D.; Fisher, M.; Groueix, T.; Guo, D.; Kim, V. G.; Kimmel, R.; Lähner, Z.; Li, K.; Litany, O.; Remez, T.; Rodolà, E.; Russell, B. C.; Sahillioglu, Y.; Slossberg, R.; Tam, G. K. L.; Vestner, M.; Wu,; and Yang, Z. Pubblicato in: 12th EG Workshop 3D Object Retrieval, 2019 Editore: The Eurographics Association DOI: 10.2312/3dor.20191069 Isospectralization, or How to Hear Shape, Style, and Correspondence Autori: Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Rodola Rodola Pubblicato in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Page(s) 7521-7530, ISBN 978-1-7281-3293-8 Editore: IEEE DOI: 10.1109/CVPR.2019.00771 Functional Maps on Product Manifolds Autori: Rodola', Emanuele; Zorah, Lähner; Alex, M Bronstein; Michael, M Bronstein; Justin, Solomon Pubblicato in: Eurographics Symposium on Geometry Processing (SGP), 2018 Editore: The Eurographics Association DOI: 10.2312/sgp.20181182 Learning disentangled representations via product manifold projection Autori: Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodola Pubblicato in: Proceedings of the 38th International Conference on Machine Learning, Issue 139, 2021, Page(s) 3530-3540 Editore: PMLR Universal Spectral Adversarial Attacks for Deformable Shapes Autori: Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodola Pubblicato in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, Page(s) 3216-3226 Editore: IEEE Book chapters (2) Towards Precise Completion of Deformable Shapes Autori: Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas Guibas, Ron Kimmel Pubblicato 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 Editore: Springer International Publishing DOI: 10.1007/978-3-030-58586-0_22 LIMP: Learning Latent Shape Representations with Metric Preservation Priors Autori: Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà Pubblicato 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 Editore: Springer International Publishing DOI: 10.1007/978-3-030-58580-8_2 È in corso la ricerca di dati su OpenAIRE... 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