A Bioinformatics Approach to 3D Shape Matching. - Manuele Bicego; Stefano Danese; Simone Melzi; Umberto Castellani (ECCV Workshops (4), 2014)

Infinite Feature Selection. - Giorgio Roffo; Simone Melzi; Marco Cristani (ICCV, 2015)

Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks. - Davide Boscaini; Jonathan Masci; Simone Melzi; Michael M. Bronstein; Umberto Castellani; Pierre Vandergheynst (Comput. Graph. Forum, 2015)

Shape Analysis with Anisotropic Windowed Fourier Transform. - Simone Melzi; Emanuele Rodolà; Umberto Castellani; Michael M. Bronstein (3DV, 2016)

Online Feature Selection for Visual Tracking. - Giorgio Roffo; Simone Melzi (BMVC, 2016)

The Visual Object Tracking VOT2016 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin; Tomás Vojír; Gustav Häger; Alan Lukezic; Gustavo Fernández; Abhinav Gupta 001; Alfredo Petrosino; et al. (ECCV Workshops (2), 2016)

Functional Maps for Brain Classification on Spectral Domain. - Simone Melzi; Alessandro Mella; Letizia Squarcina; Marcella Bellani; Cinzia Perlini; Mirella Ruggeri; Carlo Alfredo Altamura; Paolo Brambilla; Umberto Castellani (SeSAMI@MICCAI, 2016)

Ranking to Learn: - Feature Ranking and Selection via Eigenvector Centrality. - Giorgio Roffo; Simone Melzi (NFMCP@PKDD/ECML, 2016)

Object Tracking via Dynamic Feature Selection Processes. - Giorgio Roffo; Simone Melzi (CoRR, 2016)

Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering. - Matteo Denitto; Simone Melzi; Manuele Bicego; Umberto Castellani; Alessandro Farinelli; Mário A. T. Figueiredo; Yanir Kleiman; Maks Ovsjanikov (ICCV, 2017)

Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach. - Giorgio Roffo; Simone Melzi; Umberto Castellani; Alessandro Vinciarelli (ICCV, 2017)

Indicators Basis for Functional Shape Analysis. - Simone Melzi (STAG, 2018)

Localized Manifold Harmonics for Spectral Shape Analysis. - Simone Melzi; Emanuele Rodolà; Umberto Castellani; Michael M. Bronstein (Comput. Graph. Forum, 2018)

Improved Functional Mappings via Product Preservation. - Dorian Nogneng; Simone Melzi; Emanuele Rodolà; Umberto Castellani; Michael M. Bronstein; Maks Ovsjanikov (Comput. Graph. Forum, 2018)

Discrete Time Evolution Process Descriptor for Shape Analysis and Matching. - Simone Melzi; Maks Ovsjanikov; Giorgio Roffo; Marco Cristani; Umberto Castellani (ACM Trans. Graph., 2018)

High-Resolution Augmentation for Automatic Template-Based Matching of Human Models. - Riccardo Marin; Simone Melzi; Emanuele Rodolà; Umberto Castellani (3DV, 2019)

CMH: Coordinates Manifold Harmonics for Functional Remeshing. - Riccardo Marin; Simone Melzi; Pietro Musoni; Filippo Bardon; Marco Tarini; Umberto Castellani (3DOR@Eurographics, 2019)

POP: Full Parametric model Estimation for Occluded People. - Riccardo Marin; Simone Melzi; Niloy J. Mitra; Umberto Castellani (3DOR@Eurographics, 2019)

Matching Humans with Different Connectivity. - Simone Melzi; Riccardo Marin; Emanuele Rodolà; Umberto Castellani; Jing Ren 004; Adrien Poulenard; Peter Wonka; Maks Ovsjanikov (3DOR@Eurographics, 2019)

GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching. - Simone Melzi; Riccardo Spezialetti; Federico Tombari; Michael M. Bronstein; Luigi Di Stefano; Emanuele Rodolà (CVPR, 2019)

Sparse representation of step functions on manifolds. - Simone Melzi (Comput. Graph., 2019)

ZoomOut: Spectral Upsampling for Efficient Shape Correspondence. - Simone Melzi; Jing Ren 004; Emanuele Rodolà; Peter Wonka; Maks Ovsjanikov (CoRR, 2019)

ZoomOut: spectral upsampling for efficient shape correspondence. - Simone Melzi; Jing Ren 004; Emanuele Rodolà; Abhishek Sharma 013; Peter Wonka; Maks Ovsjanikov (ACM Trans. Graph., 2019)

Instant recovery of shape from spectrum via latent space connections. - Riccardo Marin; Arianna Rampini; Umberto Castellani; Emanuele Rodolà; Maks Ovsjanikov; Simone Melzi (3DV, 2020)

Correspondence learning via linearly-invariant embedding. - Riccardo Marin; Marie-Julie Rakotosaona; Simone Melzi; Maks Ovsjanikov (NeurIPS, 2020)

SHREC'20: Shape correspondence with non-isometric deformations . - Roberto M. Dyke; Yu-Kun Lai; Paul L. Rosin; Stefano Zappalà; Seana Dykes; Daoliang Guo; Kun Li 001; Riccardo Marin; Simone Melzi; Jingyu Yang 002 (Comput. Graph., 2020)

Intrinsic/extrinsic embedding for functional remeshing of 3D shapes. - Simone Melzi; Riccardo Marin; Pietro Musoni; Filippo Bardon; Marco Tarini; Umberto Castellani (Comput. Graph., 2020)

FARM: Functional Automatic Registration Method for 3D Human Bodies. - Riccardo Marin; Simone Melzi; Emanuele Rodolà; Umberto Castellani (Comput. Graph. Forum, 2020)

MapTree: recovering multiple solutions in the space of maps. - Jing Ren 004; Simone Melzi; Maks Ovsjanikov; Peter Wonka (ACM Trans. Graph., 2020)

Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps. - Gautam Pai 001; Jing Ren 004; Simone Melzi; Peter Wonka; Maks Ovsjanikov (CVPR, 2021)

Universal Spectral Adversarial Attacks for Deformable Shapes. - Arianna Rampini; Franco Pestarini; Luca Cosmo; Simone Melzi; Emanuele Rodolà (CVPR, 2021)

Reposing and Retargeting Unrigged Characters with Intrinsic-extrinsic Transfer. - Pietro Musoni; Riccardo Marin; Simone Melzi; Umberto Castellani (STAG, 2021)

Learning disentangled representations via product manifold projection. - Marco Fumero; Luca Cosmo; Simone Melzi; Emanuele Rodolà (ICML, 2021)

Shape Registration in the Time of Transformers. - Giovanni Trappolini; Luca Cosmo; Luca Moschella; Riccardo Marin; Simone Melzi; Emanuele Rodolà (NeurIPS, 2021)

Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis. - Maxime Kirgo; Simone Melzi; Giuseppe Patanè 001; Emanuele Rodolà; Maks Ovsjanikov (Comput. Graph. Forum, 2021)

Orthogonalized Fourier Polynomials for Signal Approximation and Transfer. - Filippo Maggioli; Simone Melzi; Maksim Ovsjanikov; Michael M. Bronstein; Emanuele Rodolà (Comput. Graph. Forum, 2021)

Discrete Optimization for Shape Matching. - Jing Ren 004; Simone Melzi; Peter Wonka; Maks Ovsjanikov (Comput. Graph. Forum, 2021)

Spectral Unions of Partial Deformable 3D Shapes. - Luca Moschella; Simone Melzi; Luca Cosmo; Filippo Maggioli; Or Litany; Maks Ovsjanikov; Leonidas J. Guibas; Emanuele Rodolà (CoRR, 2021)

Learning to generate shape from global-local spectra. - Marco Pegoraro 002; Riccardo Marin; Simone Melzi; Emanuele Rodolà; Umberto Castellani (CoRR, 2021)

Why you should learn functional basis. - Riccardo Marin; Souhaib Attaiki; Simone Melzi; Emanuele Rodolà; Maks Ovsjanikov (CoRR, 2021)

Spectral Shape Recovery and Analysis Via Data-driven Connections. - Riccardo Marin; Arianna Rampini; Umberto Castellani; Emanuele Rodolà; Maks Ovsjanikov; Simone Melzi (Int. J. Comput. Vis., 2021)

A functional skeleton transfer. - Pietro Musoni; Riccardo Marin; Simone Melzi; Umberto Castellani (Proc. ACM Comput. Graph. Interact. Tech., 2021)

Infinite Feature Selection: A Graph-based Feature Filtering Approach. - Giorgio Roffo; Simone Melzi; Umberto Castellani; Alessandro Vinciarelli; Marco Cristani (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

PC-GAU: PCA Basis of Scattered Gaussians for Shape Matching via Functional Maps. - Michele Colombo; Giacomo Boracchi; Simone Melzi (STAG, 2022)

GIM3D: A 3D Dataset for Garment Segmentation. - Pietro Musoni; Simone Melzi; Umberto Castellani (STAG, 2022)

Inverse Computational Spectral Geometry. - Emanuele Rodolà; Luca Cosmo; Maks Ovsjanikov; Arianna Rampini; Simone Melzi; Michael M. Bronstein; Riccardo Marin (Eurographics (Tutorials), 2022)

Newton's Fractals on Surfaces via Bicomplex Algebra. - Filippo Maggioli; Daniele Baieri; Simone Melzi; Emanuele Rodolà (SIGGRAPH Posters, 2022)

Foreword to the Special Section on Smart Tools and Applications in Graphics (STAG 2021). - Patrizio Frosini; Daniela Giorgi; Simone Melzi; Emanuele Rodolà (Comput. Graph., 2022)

Complex Functional Maps: A Conformal Link Between Tangent Bundles. - Nicolas Donati; Etienne Corman; Simone Melzi; Maks Ovsjanikov (Comput. Graph. Forum, 2022)

Learning Spectral Unions of Partial Deformable 3D Shapes. - Luca Moschella; Simone Melzi; Luca Cosmo; Filippo Maggioli; Or Litany; Maks Ovsjanikov; Leonidas J. Guibas; Emanuele Rodolà (Comput. Graph. Forum, 2022)

Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach. - Marco Pegoraro 002; Simone Melzi; Umberto Castellani; Riccardo Marin; Emanuele Rodolà (Comput. Graph. Forum, 2022)

Explanatory Learning: Beyond Empiricism in Neural Networks. - Antonio Norelli; Giorgio Mariani; Luca Moschella; Andrea Santilli; Giambattista Parascandolo; Simone Melzi; Emanuele Rodolà (CoRR, 2022)

Harnessing spectral representations for subgraph alignment. - Marco Pegoraro 002; Riccardo Marin; Arianna Rampini; Simone Melzi; Luca Cosmo; Emanuele Rodolà (CoRR, 2022)

MoMaS: Mold Manifold Simulation for real-time procedural texturing. - Filippo Maggioli; Riccardo Marin; Simone Melzi; Emanuele Rodolà (Comput. Graph. Forum, 2022)

Does Stable Diffusion Dream of Electric Sheep. - Simone Melzi; Rafael Peñaloza; Alessandro Raganato (ISD, 2023)

Spectral Maps for Learning on Subgraphs. - Marco Pegoraro 002; Riccardo Marin; Arianna Rampini; Simone Melzi; Luca Cosmo; Emanuele Rodolà (NeurReps, 2023)

Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning. - Geri Skenderi; Luigi Capogrosso; Andrea Toaiari; Matteo Denitto; Franco Fummi; Simone Melzi; Marco Cristani (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Extracting a functional representation from a dictionary for non-rigid shape matching. - Michele Colombo; Giacomo Boracchi; Simone Melzi (Comput. Graph., 2023)

Attention And Positional Encoding Are (Almost) All You Need For Shape Matching. - Alessandro Raganato; Gabriella Pasi; Simone Melzi (Comput. Graph. Forum, 2023)

GIM3D plus: A labeled 3D dataset to design data-driven solutions for dressed humans. - Pietro Musoni; Simone Melzi; Umberto Castellani (Graph. Model., 2023)

ReMatching: Low-Resolution Representations for Scalable Shape Correspondence. - Filippo Maggioli; Daniele Baieri; Emanuele Rodolà; Simone Melzi (ECCV (37), 2024)

Capturing and Modeling Real Cloth Deformations for Virtual Garment Design. - Pietro Musoni; Simone Melzi; Umberto Castellani (ECCV Workshops (1), 2024)

How to Blend Concepts in Diffusion Models. - Lorenzo Olearo; Giorgio Longari; Simone Melzi; Alessandro Raganato; Rafael Peñaloza (ISD, 2024)

Bijective upsampling and learned embedding for point clouds correspondences. - Giulio Viganò; Simone Melzi (Comput. Graph., 2024)

Implicit-ARAP: Efficient Handle-Guided Deformation of High-Resolution Meshes and Neural Fields via Local Patch Meshing. - Daniele Baieri; Filippo Maggioli; Zorah Lähner; Simone Melzi; Emanuele Rodolà (CoRR, 2024)

Localized Gaussians as Self-Attention Weights for Point Clouds Correspondence. - Alessandro Riva; Alessandro Raganato; Simone Melzi (CoRR, 2024)

SShaDe: scalable shape deformation via local representations. - Filippo Maggioli; Daniele Baieri; Zorah Lähner; Simone Melzi (CoRR, 2024)

Reconstructing Curves from Sparse Samples on Riemannian Manifolds. - Diana Marin; Filippo Maggioli; Simone Melzi; Stefan Ohrhallinger; Michael Wimmer 001 (Comput. Graph. Forum, 2024)

Deformation Recovery: Localized Learning for Detail-Preserving Deformations. - Ramana Sundararaman; Nicolas Donati; Simone Melzi; Etienne Corman; Maks Ovsjanikov (ACM Trans. Graph., 2024)

Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces. - Souhail Hadgi; Luca Moschella; Andrea Santilli; Diego Gomez 003; Qixing Huang; Emanuele Rodolà; Simone Melzi; Maks Ovsjanikov (CVPR, 2025)

Volumetric Functional Maps. - Filippo Maggioli; Marco Livesu; Simone Melzi (CoRR, 2025)

Blending Concepts with Text-to-Image Diffusion Models. - Lorenzo Olearo; Giorgio Longari; Alessandro Raganato; Rafael Peñaloza; Simone Melzi (CoRR, 2025)

NAM: Neural Adjoint Maps for refining shape correspondences. - Giulio Viganò; Maks Ovsjanikov; Simone Melzi (ACM Trans. Graph., 2025)