Luca Cosmo

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 63

Top Topics

Histogram Intersection

Partial Matching

Diffusion Models

Deformable Shapes

Top Venues

Comput. Graph. Forum

Publications

Alessandro Bicciato, Luca Cosmo, Giorgia Minello, Luca Rossi, Andrea Torsello
GNN-LoFI: A novel graph neural network through localized feature-based histogram intersection. Pattern Recognit. 148 (2024)
Giorgia Minello, Alessandro Bicciato, Luca Rossi, Andrea Torsello, Luca Cosmo
Graph Generation via Spectral Diffusion. CoRR (2024)
Alessandro Bicciato, Luca Cosmo, Giorgia Minello, Luca Rossi, Andrea Torsello
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection. CoRR (2024)
Ruben Ciranni, Emilian Postolache, Giorgio Mariani, Michele Mancusi, Luca Cosmo, Emanuele Rodolà
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations. CoRR (2024)
Emilian Postolache, Giorgio Mariani, Luca Cosmo, Emmanouil Benetos, Emanuele Rodolà
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models. ICASSP (2024)
Giorgio Mariani, Irene Tallini, Emilian Postolache, Michele Mancusi, Luca Cosmo, Emanuele Rodolà
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation. ICLR (2024)
Emilian Postolache, Giorgio Mariani, Luca Cosmo, Emmanouil Benetos, Emanuele Rodolà
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models. CoRR (2024)
Kamilia Zaripova, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Michael M. Bronstein, Nassir Navab
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. Medical Image Anal. 88 (2023)
Giorgio Mariani, Irene Tallini, Emilian Postolache, Michele Mancusi, Luca Cosmo, Emanuele Rodolà
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation. CoRR (2023)
Anees Kazi, Luca Cosmo, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
Differentiable Graph Module (DGM) for Graph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà
Latent Autoregressive Source Separation. AAAI (2023)
Tomer Weiss, Eduardo Mayo Yanes, Sabyasachi Chakraborty, Luca Cosmo, Alex M. Bronstein, Renana Gershoni-Poranne
Guided diffusion for inverse molecular design. Nat. Comput. Sci. 3 (10) (2023)
Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà
Latent Autoregressive Source Separation. CoRR (2023)
Alessandro Bicciato, Luca Cosmo, Giorgia Minello, Luca Rossi, Andrea Torsello
Classifying Me Softly: A Novel Graph Neural Network Based on Features Soft-Alignment. S+SSPR (2022)
Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, Emanuele Rodolà
Harnessing spectral representations for subgraph alignment. CoRR (2022)
Kamilia Mullakaeva, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. CoRR (2022)
Mahdi Saleh, Shun-Cheng Wu, Luca Cosmo, Nassir Navab, Benjamin Busam, Federico Tombari
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport. CVPR (2022)
Mahdi Saleh, Shun-Cheng Wu, Luca Cosmo, Nassir Navab, Benjamin Busam, Federico Tombari
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport. CoRR (2022)
Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà
Learning Spectral Unions of Partial Deformable 3D Shapes. Comput. Graph. Forum 41 (2) (2022)
Luca Cosmo, Giorgia Minello, Michael M. Bronstein, Emanuele Rodolà, Luca Rossi, Andrea Torsello
3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature. Int. J. Comput. Vis. 130 (6) (2022)
Emanuele Rodolà, Luca Cosmo, Maks Ovsjanikov, Arianna Rampini, Simone Melzi, Michael M. Bronstein, Riccardo Marin
Inverse Computational Spectral Geometry. Eurographics (Tutorials) (2022)
Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà
Universal Spectral Adversarial Attacks for Deformable Shapes. CoRR (2021)
Michele Mancusi, Emilian Postolache, Marco Fumero, Andrea Santilli, Luca Cosmo, Emanuele Rodolà
Unsupervised Source Separation via Bayesian Inference in the Latent Domain. CoRR (2021)
Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà
Learning disentangled representations via product manifold projection. CoRR (2021)
Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà
Spectral Unions of Partial Deformable 3D Shapes. CoRR (2021)
Giovanni Trappolini, Luca Cosmo, Luca Moschella, Riccardo Marin, Simone Melzi, Emanuele Rodolà
Shape registration in the time of transformers. CoRR (2021)
Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà
Learning disentangled representations via product manifold projection. ICML (2021)
Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà
Universal Spectral Adversarial Attacks for Deformable Shapes. CVPR (2021)
Luca Cosmo, Giorgia Minello, Michael M. Bronstein, Emanuele Rodolà, Luca Rossi, Andrea Torsello
Graph Kernel Neural Networks. CoRR (2021)
Giovanni Trappolini, Luca Cosmo, Luca Moschella, Riccardo Marin, Simone Melzi, Emanuele Rodolà
Shape Registration in the Time of Transformers. NeurIPS (2021)
Giorgio Mariani, Luca Cosmo, Alexander M. Bronstein, Emanuele Rodolà
Generating Adversarial Surfaces via Band-Limited Perturbations. Comput. Graph. Forum 39 (5) (2020)
Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
Latent Patient Network Learning for Automatic Diagnosis. CoRR (2020)
Luca Cosmo, Giorgia Minello, Michael M. Bronstein, Luca Rossi, Andrea Torsello
The Average Mixing Kernel Signature. ECCV (20) (2020)
Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein
Latent-Graph Learning for Disease Prediction. MICCAI (2) (2020)
Emilian Postolache, Marco Fumero, Luca Cosmo, Emanuele Rodolà
A parametric analysis of discrete Hamiltonian functional maps. Comput. Graph. Forum 39 (5) (2020)
Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. CoRR (2020)
Anees Kazi, Luca Cosmo, Nassir Navab, Michael M. Bronstein
Differentiable Graph Module (DGM) Graph Convolutional Networks. CoRR (2020)
Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. ECCV (3) (2020)
Mara Pistellato, Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Andrea Gasparetto, Andrea Torsello
Stochastic Phase Estimation and Unwrapping. ICPRAM (2019)
Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà
Isospectralization, or How to Hear Shape, Style, and Correspondence. CVPR (2019)
Mara Pistellato, Luca Cosmo, Filippo Bergamasco, Andrea Gasparetto, Andrea Albarelli
Adaptive Albedo Compensation for Accurate Phase-Shift Coding. ICPR (2018)
Mara Pistellato, Filippo Bergamasco, Luca Cosmo, Andrea Gasparetto, Dalila Ressi, Andrea Albarelli
Neighborhood-Based Recovery of Phase Unwrapping Faults. ICPR (2018)
Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà
Isospectralization, or how to hear shape, style, and correspondence. CoRR (2018)
Andrea Gasparetto, Dalila Ressi, Filippo Bergamasco, Mara Pistellato, Luca Cosmo, Marco Boschetti, Enrico Ursella, Andrea Albarelli
Cross-Dataset Data Augmentation for Convolutional Neural Networks Training. ICPR (2018)
Emanuele Rodolà, Luca Cosmo, Michael M. Bronstein, Andrea Torsello, Daniel Cremers
Partial Functional Correspondence. Comput. Graph. Forum 36 (1) (2017)
Andrea Gasparetto, Luca Cosmo, Emanuele Rodolà, Michael M. Bronstein, Andrea Torsello
Spatial Maps: From Low Rank Spectral to Sparse Spatial Functional Representations. 3DV (2017)
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, Andrea Gasparetto, Y. Hong, J. Kim, Bertrand Le Saux, Roee Litman, Majid Masoumi, Giorgia Minello, Hai-Dang Nguyen, V.-T. Nguyen, Ryutarou Ohbuchi, Viet-Khoi Pham, Thuyen V. Phan, M. Rezaei, Andrea Torsello, Minh-Triet Tran, Q. T. Tran, Bao Truong, L. Wan, Changqing Zou
Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics (2017)
Luca Cosmo, Emanuele Rodolà, Andrea Albarelli, Facundo Mémoli, Daniel Cremers
Consistent Partial Matching of Shape Collections via Sparse Modeling. Comput. Graph. Forum 36 (1) (2017)
Filippo Bergamasco, Luca Cosmo, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello
Parameter-Free Lens Distortion Calibration of Central Cameras. ICCV (2017)
Filippo Bergamasco, Luca Cosmo, Michele Schiavinato, Andrea Albarelli, Andrea Torsello
Dense multi-view homography estimation and plane segmentation. ICPR (2016)
Luca Cosmo, Emanuele Rodolà, Michael M. Bronstein, Andrea Torsello, Daniel Cremers, Yusuf Sahillioglu
Partial Matching of Deformable Shapes. 3DOR@Eurographics (2016)
Luca Cosmo, Emanuele Rodolà, Jonathan Masci, Andrea Torsello, Michael M. Bronstein
Matching Deformable Objects in Clutter. 3DV (2016)
Zorah Lähner, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers, Oliver Burghard, Luca Cosmo, Alexander Dieckmann, Reinhard Klein, Yusuf Sahillioglu
Matching of Deformable Shapes with Topological Noise. 3DOR@Eurographics (2016)
Andrea Gasparetto, Luca Cosmo, Andrea Torsello, Richard C. Wilson
Non-rigid dense bijective maps. ICPR (2016)
Andrea Albarelli, Luca Cosmo, Filippo Bergamasco, Flavio Sartoretto, Andrea Torsello
A 5 degrees of freedom multi-user pointing device for interactive whiteboards. Pattern Anal. Appl. 19 (1) (2016)
Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Emanuele Rodolà, Andrea Torsello
An Accurate and Robust Artificial Marker Based on Cyclic Codes. IEEE Trans. Pattern Anal. Mach. Intell. 38 (12) (2016)
Luca Cosmo, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello, Emanuele Rodolà, Daniel Cremers
A game-theoretical approach for joint matching of multiple feature throughout unordered images. ICPR (2016)
Andrea Albarelli, Luca Cosmo, Filippo Bergamasco, Flavio Sartoretto
Phase-based spatio-temporal interpolation for accurate 3D localization in camera networks. Pattern Recognit. Lett. 63 (2015)
Emanuele Rodolà, Luca Cosmo, Michael M. Bronstein, Andrea Torsello, Daniel Cremers
Partial Functional Correspondence. CoRR (2015)
Andrea Albarelli, Luca Cosmo, Filippo Bergamasco, Andrea Gasparetto
Objective and Subjective Metrics for 3D Display Perception Evaluation. ICPRAM (2) (2015)
Andrea Albarelli, Augusto Celentano, Luca Cosmo
Evaluating stereo vision and user tracking in mixed reality tasks! 3DUI (2015)
Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Andrea Torsello, Emanuele Rodolà, Daniel Cremers
Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction. CVPR (2015)
Andrea Albarelli, Augusto Celentano, Luca Cosmo, Renato Marchi
On the Interplay between Data Overlay and Real-World Context using See-through Displays. CHItaly (2015)
Filippo Bergamasco, Luca Cosmo, Andrea Albarelli, Andrea Torsello
Camera Calibration from Coplanar Circles. ICPR (2014)
Andrea Albarelli, Luca Cosmo, Augusto Celentano
Evaluating accuracy of perception in an adaptive stereo vision interface. AVI (2014)
Luca Cosmo, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello
Design and Evaluation of a Viewer-Dependent Stereoscopic Display. ICPR (2014)
Andrea Albarelli, Luca Cosmo, Filippo Bergamasco, Andrea Torsello
High-Coverage 3D Scanning through Online Structured Light Calibration. ICPR (2014)
Luca Cosmo, Andrea Albarelli, Filippo Bergamasco
A low cost tracking system for position-dependent 3D visual interaction. AVI (2014)
Andrea Albarelli, Filippo Bergamasco, Augusto Celentano, Luca Cosmo, Andrea Torsello
Using multiple sensors for reliable markerless identification through supervised learning. Mach. Vis. Appl. 24 (7) (2013)
Filippo Bergamasco, Luca Cosmo, Andrea Albarelli, Andrea Torsello
A Robust Multi-camera 3D Ellipse Fitting for Contactless Measurements. 3DIMPVT (2012)