Luca Cosmo
Citado por
Citado por
Partial functional correspondence
E Rodolà, L Cosmo, MM Bronstein, A Torsello, D Cremers
Computer graphics forum 36 (1), 222-236, 2017
Differentiable graph module (dgm) for graph convolutional networks
A Kazi, L Cosmo, SA Ahmadi, N Navab, MM Bronstein
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1606-1617, 2022
Latent-graph learning for disease prediction
L Cosmo, A Kazi, SA Ahmadi, N Navab, M Bronstein
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Shrec'16: Partial matching of deformable shapes
L Cosmo, E Rodola, MM Bronstein, A Torsello, D Cremers, Y Sahillioǧlu
Eurographics Workshop on 3D Object Retrieval, EG 3DOR, 61-67, 2016
An accurate and robust artificial marker based on cyclic codes
F Bergamasco, A Albarelli, L Cosmo, E Rodola, A Torsello
IEEE transactions on pattern analysis and machine intelligence 38 (12), 2359 …, 2016
Matching deformable objects in clutter
L Cosmo, E Rodola, J Masci, A Torsello, MM Bronstein
2016 Fourth international conference on 3D vision (3DV), 1-10, 2016
Limp: Learning latent shape representations with metric preservation priors
L Cosmo, A Norelli, O Halimi, R Kimmel, E Rodola
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
SHREC'16: Matching of deformable shapes with topological noise
Z Lähner, E Rodolà, MM Bronstein, D Cremers, O Burghard, L Cosmo, ...
Eurographics Workshop on 3D Object Retrieval, EG 3DOR, 55-60, 2016
Isospectralization, or how to hear shape, style, and correspondence
L Cosmo, M Panine, A Rampini, M Ovsjanikov, MM Bronstein, E Rodola
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Shape registration in the time of transformers
G Trappolini, L Cosmo, L Moschella, R Marin, S Melzi, E Rodolà
Advances in Neural Information Processing Systems 34, 5731-5744, 2021
Consistent partial matching of shape collections via sparse modeling
L Cosmo, E Rodola, A Albarelli, F Mémoli, D Cremers
Computer Graphics Forum 36 (1), 209-221, 2017
SHREC'17: Deformable shape retrieval with missing parts
E Rodolà, L Cosmo, O Litany, MM Bronstein, AM Bronstein, N Audebert, ...
Eurographics Workshop on 3D Object Retrieval, 2017
Guided diffusion for inverse molecular design
T Weiss, E Mayo Yanes, S Chakraborty, L Cosmo, AM Bronstein, ...
Nature Computational Science 3 (10), 873-882, 2023
Adopting an unconstrained ray model in light-field cameras for 3d shape reconstruction
F Bergamasco, A Albarelli, L Cosmo, A Torsello, E Rodola, D Cremers
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Camera calibration from coplanar circles
F Bergamasco, L Cosmo, A Albarelli, A Torsello
2014 22nd International Conference on Pattern Recognition, 2137-2142, 2014
Graph kernel neural networks
L Cosmo, G Minello, A Bicciato, MM Bronstein, E Rodolà, L Rossi, ...
IEEE Transactions on Neural Networks and Learning Systems, 2024
Learning disentangled representations via product manifold projection
M Fumero, L Cosmo, S Melzi, E Rodolà
International conference on machine learning, 3530-3540, 2021
A robust multi-camera 3D ellipse fitting for contactless measurements
F Bergamasco, L Cosmo, A Albarelli, A Torsello
2012 Second International Conference on 3D Imaging, Modeling, Processing …, 2012
Multi-source diffusion models for simultaneous music generation and separation
G Mariani, I Tallini, E Postolache, M Mancusi, L Cosmo, E Rodolà
arXiv preprint arXiv:2302.02257, 2023
Parameter-free lens distortion calibration of central cameras
F Bergamasco, L Cosmo, A Gasparetto, A Albarelli, A Torsello
Proceedings of the IEEE International Conference on Computer Vision, 3847-3855, 2017
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