Luca Cosmo
Geciteerd door
Geciteerd door
Partial functional correspondence
E Rodolą, 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
SHREC’16: Partial matching of deformable shapes
L Cosmo, E Rodola, MM Bronstein, A Torsello, D Cremers, Y Sahillioglu
Proc. 3DOR 2 (9), 12, 2016
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
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
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
SHREC'16: Matching of deformable shapes with topological noise
Z Lähner, E Rodolą, MM Bronstein, D Cremers, O Burghard, L Cosmo, ...
Eurographics Workshop on 3D Object Retrieval, EG 3DOR, 55-60, 2016
Shape registration in the time of transformers
G Trappolini, L Cosmo, L Moschella, R Marin, S Melzi, E Rodolą
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 Rodolą, L Cosmo, O Litany, MM Bronstein, AM Bronstein, N Audebert, ...
Eurographics Workshop on 3D Object Retrieval, 2017
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
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
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
Robust phase unwrapping by probabilistic consensus
M Pistellato, F Bergamasco, A Albarelli, L Cosmo, A Gasparetto, ...
Optics and Lasers in Engineering 121, 428-440, 2019
Universal spectral adversarial attacks for deformable shapes
A Rampini, F Pestarini, L Cosmo, S Melzi, E Rodola
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
On the interplay between data overlay and real-world context using see-through displays
A Albarelli, A Celentano, L Cosmo, R Marchi
Proceedings of the 11th Biannual Conference on Italian SIGCHI Chapter, 58-65, 2015
Graph kernel neural networks
L Cosmo, G Minello, M Bronstein, E Rodolą, L Rossi, A Torsello
arXiv preprint arXiv:2112.07436, 2021
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