| Partial functional correspondence E Rodolą, L Cosmo, MM Bronstein, A Torsello, D Cremers Computer graphics forum 36 (1), 222-236, 2017 | 294 | 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 | 169 | 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 | 104* | 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 | 96 | 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 | 80 | 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 | 80 | 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 | 74 | 2016 |
| 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 | 68 | 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 | 65 | 2021 |
| 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 | 59 | 2019 |
| 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 | 40 | 2023 |
| 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 | 40 | 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 | 33 | 2017 |
| Multi-source diffusion models for simultaneous music generation and separation G Mariani, I Tallini, E Postolache, M Mancusi, L Cosmo, E Rodolą arXiv preprint arXiv:2302.02257, 2023 | 31 | 2023 |
| Graph kernel neural networks L Cosmo, G Minello, A Bicciato, MM Bronstein, E Rodolą, L Rossi, ... IEEE Transactions on Neural Networks and Learning Systems, 2024 | 26 | 2024 |
| Learning disentangled representations via product manifold projection M Fumero, L Cosmo, S Melzi, E Rodolą International conference on machine learning, 3530-3540, 2021 | 25 | 2021 |
| 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 | 22 | 2015 |
| Camera calibration from coplanar circles F Bergamasco, L Cosmo, A Albarelli, A Torsello 2014 22nd International Conference on Pattern Recognition, 2137-2142, 2014 | 22 | 2014 |
| Bending graphs: Hierarchical shape matching using gated optimal transport M Saleh, SC Wu, L Cosmo, N Navab, B Busam, F Tombari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 21 | 2022 |
| 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 | 20 | 2012 |
Emanuele RodoląProfessor of Computer Science, Sapienza University of RomeVerified email at di.uniroma1.it
