A Robust Multi-camera 3D Ellipse Fitting for Contactless Measurements. - Filippo Bergamasco; Luca Cosmo; Andrea Albarelli; Andrea Torsello (3DIMPVT, 2012)

Using multiple sensors for reliable markerless identification through supervised learning. - Andrea Albarelli; Filippo Bergamasco; Augusto Celentano; Luca Cosmo; Andrea Torsello (Mach. Vis. Appl., 2013)

Evaluating accuracy of perception in an adaptive stereo vision interface. - Andrea Albarelli; Luca Cosmo; Augusto Celentano (AVI, 2014)

A low cost tracking system for position-dependent 3D visual interaction. - Luca Cosmo; Andrea Albarelli; Filippo Bergamasco (AVI, 2014)

High-Coverage 3D Scanning through Online Structured Light Calibration. - Andrea Albarelli; Luca Cosmo; Filippo Bergamasco; Andrea Torsello (ICPR, 2014)

Camera Calibration from Coplanar Circles. - Filippo Bergamasco; Luca Cosmo; Andrea Albarelli; Andrea Torsello (ICPR, 2014)

Design and Evaluation of a Viewer-Dependent Stereoscopic Display. - Luca Cosmo; Andrea Albarelli; Filippo Bergamasco; Andrea Torsello (ICPR, 2014)

Evaluating stereo vision and user tracking in mixed reality tasks! - Andrea Albarelli; Augusto Celentano; Luca Cosmo (3DUI, 2015)

On the Interplay between Data Overlay and Real-World Context using See-through Displays. - Andrea Albarelli; Augusto Celentano; Luca Cosmo; Renato Marchi (CHItaly, 2015)

Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction. - Filippo Bergamasco; Andrea Albarelli; Luca Cosmo; Andrea Torsello; Emanuele Rodolà; Daniel Cremers (CVPR, 2015)

Objective and Subjective Metrics for 3D Display Perception Evaluation. - Andrea Albarelli; Luca Cosmo; Filippo Bergamasco; Andrea Gasparetto (ICPRAM (2), 2015)

Phase-based spatio-temporal interpolation for accurate 3D localization in camera networks. - Andrea Albarelli; Luca Cosmo; Filippo Bergamasco; Flavio Sartoretto (Pattern Recognit. Lett., 2015)

3D acquisition and analysis with applications in interaction and contactless measurement. - Luca Cosmo (2015)

Matching Deformable Objects in Clutter. - Luca Cosmo; Emanuele Rodolà; Jonathan Masci; Andrea Torsello; Michael M. Bronstein (3DV, 2016)

Partial Matching of Deformable Shapes. - Luca Cosmo; Emanuele Rodolà; Michael M. Bronstein; Andrea Torsello; Daniel Cremers; Yusuf Sahillioglu (3DOR@Eurographics, 2016)

Matching of Deformable Shapes with Topological Noise. - Zorah Lähner; Emanuele Rodolà; Michael M. Bronstein; Daniel Cremers; Oliver Burghard; Luca Cosmo; Alexander Dieckmann; Reinhard Klein; Yusuf Sahillioglu (3DOR@Eurographics, 2016)

Dense multi-view homography estimation and plane segmentation. - Filippo Bergamasco; Luca Cosmo; Michele Schiavinato; Andrea Albarelli; Andrea Torsello (ICPR, 2016)

A game-theoretical approach for joint matching of multiple feature throughout unordered images. - Luca Cosmo; Andrea Albarelli; Filippo Bergamasco; Andrea Torsello; Emanuele Rodolà; Daniel Cremers (ICPR, 2016)

Non-rigid dense bijective maps. - Andrea Gasparetto; Luca Cosmo; Andrea Torsello; Richard C. Wilson 001 (ICPR, 2016)

A 5 degrees of freedom multi-user pointing device for interactive whiteboards. - Andrea Albarelli; Luca Cosmo; Filippo Bergamasco; Flavio Sartoretto; Andrea Torsello (Pattern Anal. Appl., 2016)

An Accurate and Robust Artificial Marker Based on Cyclic Codes. - Filippo Bergamasco; Andrea Albarelli; Luca Cosmo; Emanuele Rodolà; Andrea Torsello (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Spatial Maps: From Low Rank Spectral to Sparse Spatial Functional Representations. - Andrea Gasparetto; Luca Cosmo; Emanuele Rodolà; Michael M. Bronstein; Andrea Torsello (3DV, 2017)

Deformable Shape Retrieval with Missing Parts. - Emanuele Rodolà; Luca Cosmo; Or Litany; Michael M. Bronstein; Alexander M. Bronstein; Nicolas Audebert; A. Ben Hamza; Alexandre Boulch; Umberto Castellani; Minh N. Do; Duc Anh Duong; Takahiko Furuya; et al. (3DOR@Eurographics, 2017)

Parameter-Free Lens Distortion Calibration of Central Cameras. - Filippo Bergamasco; Luca Cosmo; Andrea Gasparetto; Andrea Albarelli; Andrea Torsello (ICCV, 2017)

Consistent Partial Matching of Shape Collections via Sparse Modeling. - Luca Cosmo; Emanuele Rodolà; Andrea Albarelli; Facundo Mémoli; Daniel Cremers (Comput. Graph. Forum, 2017)

Partial Functional Correspondence. - Emanuele Rodolà; Luca Cosmo; Michael M. Bronstein; Andrea Torsello; Daniel Cremers (Comput. Graph. Forum, 2017)

Cross-Dataset Data Augmentation for Convolutional Neural Networks Training. - Andrea Gasparetto; Dalila Ressi; Filippo Bergamasco; Mara Pistellato; Luca Cosmo; Marco Boschetti; Enrico Ursella; Andrea Albarelli (ICPR, 2018)

Neighborhood-Based Recovery of Phase Unwrapping Faults. - Mara Pistellato; Filippo Bergamasco; Luca Cosmo; Andrea Gasparetto; Dalila Ressi; Andrea Albarelli (ICPR, 2018)

Adaptive Albedo Compensation for Accurate Phase-Shift Coding. - Mara Pistellato; Luca Cosmo; Filippo Bergamasco; Andrea Gasparetto; Andrea Albarelli (ICPR, 2018)

Isospectralization, or How to Hear Shape, Style, and Correspondence. - Luca Cosmo; Mikhail Panine; Arianna Rampini; Maks Ovsjanikov; Michael M. Bronstein; Emanuele Rodolà (CVPR, 2019)

Stochastic Phase Estimation and Unwrapping. - Mara Pistellato; Filippo Bergamasco; Andrea Albarelli; Luca Cosmo; Andrea Gasparetto; Andrea Torsello (ICPRAM, 2019)

The Average Mixing Kernel Signature. - Luca Cosmo; Giorgia Minello; Michael M. Bronstein; Luca Rossi 004; Andrea Torsello (ECCV (20), 2020)

LIMP: Learning Latent Shape Representations with Metric Preservation Priors. - Luca Cosmo; Antonio Norelli; Oshri Halimi; Ron Kimmel; Emanuele Rodolà (ECCV (3), 2020)

Latent-Graph Learning for Disease Prediction. - Luca Cosmo; Anees Kazi; Seyed-Ahmad Ahmadi; Nassir Navab; Michael M. Bronstein (MICCAI (2), 2020)

Generating Adversarial Surfaces via Band-Limited Perturbations. - Giorgio Mariani; Luca Cosmo; Alexander M. Bronstein; Emanuele Rodolà (Comput. Graph. Forum, 2020)

A parametric analysis of discrete Hamiltonian functional maps. - Emilian Postolache; Marco Fumero; Luca Cosmo; Emanuele Rodolà (Comput. Graph. Forum, 2020)

Differentiable Graph Module (DGM) Graph Convolutional Networks. - Anees Kazi; Luca Cosmo; Nassir Navab; Michael M. Bronstein (CoRR, 2020)

Latent Patient Network Learning for Automatic Diagnosis. - Luca Cosmo; Anees Kazi; Seyed-Ahmad Ahmadi; Nassir Navab; Michael M. Bronstein (CoRR, 2020)

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

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)

Unsupervised Source Separation via Bayesian Inference in the Latent Domain. - Michele Mancusi; Emilian Postolache; Marco Fumero; Andrea Santilli; Luca Cosmo; Emanuele Rodolà (CoRR, 2021)

Graph Kernel Neural Networks. - Luca Cosmo; Giorgia Minello; Michael M. Bronstein; Emanuele Rodolà; Luca Rossi 004; Andrea Torsello (CoRR, 2021)

Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport. - Mahdi Saleh; Shun-Cheng Wu; Luca Cosmo; Nassir Navab; Benjamin Busam; Federico Tombari (CVPR, 2022)

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

Classifying Me Softly: A Novel Graph Neural Network Based on Features Soft-Alignment. - Alessandro Bicciato; Luca Cosmo; Giorgia Minello; Luca Rossi 004; Andrea Torsello (S+SSPR, 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)

Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. - Kamilia Mullakaeva; Luca Cosmo; Anees Kazi; Seyed-Ahmad Ahmadi; Nassir Navab; Michael M. Bronstein (CoRR, 2022)

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

3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature. - Luca Cosmo; Giorgia Minello; Michael M. Bronstein; Emanuele Rodolà; Luca Rossi 004; Andrea Torsello (Int. J. Comput. Vis., 2022)

Latent Autoregressive Source Separation. - Emilian Postolache; Giorgio Mariani; Michele Mancusi; Andrea Santilli; Luca Cosmo; Emanuele Rodolà (AAAI, 2023)

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

Guided diffusion for inverse molecular design. - Tomer Weiss 002; Eduardo Mayo Yanes; Sabyasachi Chakraborty; Luca Cosmo; Alex M. Bronstein; Renana Gershoni-Poranne (Nat. Comput. Sci., 2023)

Differentiable Graph Module (DGM) for Graph Convolutional Networks. - Anees Kazi; Luca Cosmo; Seyed-Ahmad Ahmadi; Nassir Navab; Michael M. Bronstein (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. - Kamilia Zaripova; Luca Cosmo; Anees Kazi; Seyed-Ahmad Ahmadi; Michael M. Bronstein; Nassir Navab (Medical Image Anal., 2023)

SelfGeo: Self-supervised and Geodesic-Consistent Estimation of Keypoints on Deformable Shapes. - Mohammad Zohaib; Luca Cosmo; Alessio Del Bue (ECCV (85), 2024)

Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models. - Emilian Postolache; Giorgio Mariani; Luca Cosmo; Emmanouil Benetos; Emanuele Rodolà (ICASSP, 2024)

Multi-Source Diffusion Models for Simultaneous Music Generation and Separation. - Giorgio Mariani; Irene Tallini; Emilian Postolache; Michele Mancusi; Luca Cosmo; Emanuele Rodolà (ICLR, 2024)

GraFix: A Graph Transformer with Fixed Attention Based on the WL Kernel. - Lingfeng Zhang; Luca Cosmo; Giorgia Minello; Andrea Torsello; Luca Rossi 004 (ICPR (4), 2024)

LESI-GNN: An Interpretable Graph Neural Network Based on Local Structures Embedding. - Giorgia Minello; Lingfeng Zhang; Alessandro Bicciato; Luca Rossi 004; Andrea Torsello; Luca Cosmo (S+SSPR, 2024)

Graph Generation via Spectral Diffusion. - Giorgia Minello; Alessandro Bicciato; Luca Rossi 004; Andrea Torsello; Luca Cosmo (CoRR, 2024)

COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations. - Ruben Ciranni; Emilian Postolache; Giorgio Mariani; Michele Mancusi; Luca Cosmo; Emanuele Rodolà (CoRR, 2024)

Stable-V2A: Synthesis of Synchronized Sound Effects with Temporal and Semantic Controls. - Riccardo Fosco Gramaccioni; Christian Marinoni; Emilian Postolache; Marco Comunità; Luca Cosmo; Joshua D. Reiss; Danilo Comminiello (CoRR, 2024)

GNN-LoFI: A novel graph neural network through localized feature-based histogram intersection. - Alessandro Bicciato; Luca Cosmo; Giorgia Minello; Luca Rossi 004; Andrea Torsello (Pattern Recognit., 2024)

COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations. - Ruben Ciranni; Giorgio Mariani; Michele Mancusi; Emilian Postolache; Giorgio Fabbro; Emanuele Rodolà; Luca Cosmo (ICASSP, 2025)

Naturalistic Music Decoding from EEG Data via Latent Diffusion Models. - Emilian Postolache; Natalia Polouliakh; Hiroaki Kitano; Akima Connelly; Emanuele Rodolà; Luca Cosmo; Taketo Akama (ICASSP, 2025)

Generating Graphs via Spectral Diffusion. - Giorgia Minello; Alessandro Bicciato; Luca Rossi 004; Andrea Torsello; Luca Cosmo (ICLR, 2025)

STAGE: Stemmed Accompaniment Generation through Prefix-Based Conditioning. - Giorgio Strano; Chiara Ballanti; Donato Crisostomi; Michele Mancusi; Luca Cosmo; Emanuele Rodolà (CoRR, 2025)

Graph Kernel Neural Networks. - Luca Cosmo; Giorgia Minello; Alessandro Bicciato; Michael M. Bronstein; Emanuele Rodolà; Luca Rossi 004; Andrea Torsello (IEEE Trans. Neural Networks Learn. Syst., 2025)