I am a Post Doctoral researcher in Computer Science at Sapienza University of Rome in the GLADIA group led by Emanuele Rodolà.
Previously, I was a post-doctoral researcher at the École Polytechnique in the team of Prof. Maks Ovsjanikov (6 months) and at the Università Degli Studi di Verona (2018-2019). I received my PhD in Computer Science at Università Degli Studi di Verona (2018) and graduated in math at the University of Milan "La Statale" (2013).
I received The Marie-Curie Individual Fellowships and the Seal of Excellence for the H2020-MSCA-IF-EF-ST-2019 proposal NON-LINFMAPS, (score 92.20/100), the BE-FOR-ERC 2020 grant in the role of Principal Investigator as post Doctoral researcher at Sapienza University of Rome and the EG-Italy PhD thesis award (2018). I work on geometry processing, 3D shape analysis and artificial intelligence. I maintain fruitful collaborations with many world leaders in this area both with academic institutions and companies.
Visual list of my publications
Our paper "Learning disentangled representations via product manifold projection" with Marco Fumero, Luca Cosmo and Emanuele Rodolà has been accepted at ICML 2021.
Our paper "Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence with Functional Maps" with Gautam Pai, Jing Ren, Peter Wonka and Maks Ovsjanikov (poster) has been accepted at CVPR 2021.
Our paper "Universal Spectral Adversarial Attacks for Deformable Shapes" with Arianna Rampini, Franco Pestarini, Luca Cosmo and Emanuele Rodolà (poster) has been accepted at CVPR 2021.
Our tutorial "Inverse Computational Spectral Geometry" has been accepted at Eurographics 2021.
Our paper "Orthogonalized Fourier Polynomials for Signal Approximation and Transfer" has been accepted at Eurographics 2021.
I received the BE-FOR-ERC 2020 grant at Sapienza University of Rome.
I received the Marie Curie grant (H2020-MSCA-IF-2019) for my project NON-LINFMAPS with Maks Ovsjanikov at École Polytechnique.
Our paper "Instant recovery of shape from spectrum via latent space connections" won the Best Student Paper Award at 3DV 2020.
I Received the Sapienza research starting grant 2020 for the project "Functional tools from spectral geometry processing to medical imaging applications".
Our paper "Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis" has been accepted for publication in Computer Graphics Forum.
Our paper "Instant recovery of shape from spectrum via latent space connections" has been accepted at the International Conference on 3D Vision (3DV 2020).
Our paper "Correspondence learning via linearly-invariant embedding" has been accepted at NeurIPS 2020.
Our paper "MapTree: Recovering Multiple Solutions in the Space of Maps" has been accepted at SIGGRAPH Asia 2020.
From Monday 27 to Friday 31 will take place the Phd course on Spectral Shape Analysis for 3D matching at the University of Verona.
I gave the lecture for the Graduate School of the Symposium on Geometry Processing 2020, The functional representation of 3D shapes and High-Frequencies.
I joined the Geometric & Visual Computing group led by Emanuele Rodolà at the Sapienza University of Rome as a Post-doctoral researcher.
BE-FOR-ERC 2020 grant in the role of Principal Investigator as post Doctoral researcher at Sapienza University of Rome
Marie-Curie Individual Fellowships for the H2020-MSCA-IF-EF-ST-2019 proposal NON-LINFMAPS, (score 92.20/100) .