| Partial functional correspondence E Rodolą, L Cosmo, MM Bronstein, A Torsello, D Cremers Computer graphics forum 36 (1), 222-236, 2017 | 206 | 2017 |
| 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 | 60 | 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 | 59 | 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 | 59 | 2016 |
| Differentiable graph module (dgm) for graph convolutional networks A Kazi, L Cosmo, SA Ahmadi, N Navab, M Bronstein IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 42 | 2022 |
| 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’16: Matching of deformable shapes with topological noise Z Lähner, E Rodola, MM Bronstein, D Cremers, O Burghard, L Cosmo, ... Proc. 3DOR 2 (10.2312), 2016 | 38 | 2016 |
| Isospectralization, or how to hear shape, style, and correspondence L Cosmo, M Panine, A Rampini, M Ovsjanikov, MM Bronstein, E Rodolą Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 37 | 2019 |
| Limp: Learning latent shape representations with metric preservation priors L Cosmo, A Norelli, O Halimi, R Kimmel, E Rodola European Conference on Computer Vision, 19-35, 2020 | 28 | 2020 |
| SHREC'17: Deformable shape retrieval with missing parts E Rodolą, L Cosmo, O Litany, MM Bronstein, AM Bronstein, N Audebert, ... 10th Eurographics Workshop on 3D Object Retrieval, 3DOR 2017, 85-94, 2017 | 26 | 2017 |
| Latent-graph learning for disease prediction L Cosmo, A Kazi, SA Ahmadi, N Navab, M Bronstein International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 25* | 2020 |
| 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 | 21 | 2015 |
| Camera calibration from coplanar circles F Bergamasco, L Cosmo, A Albarelli, A Torsello 2014 22nd International Conference on Pattern Recognition, 2137-2142, 2014 | 18 | 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 | 16 | 2012 |
| 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 | 13 | 2015 |
| 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 | 12 | 2017 |
| Spatial maps: From low rank spectral to sparse spatial functional representations A Gasparetto, L Cosmo, E Rodola, M Bronstein, A Torsello 2017 International Conference on 3D Vision (3DV), 477-485, 2017 | 10 | 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 | 9 | 2019 |
| High-coverage 3D scanning through online structured light calibration A Albarelli, L Cosmo, F Bergamasco, A Torsello 2014 22nd International Conference on Pattern Recognition, 4080-4085, 2014 | 9 | 2014 |
| 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 | 7 | 2021 |
Emanuele RodoląProfessor of Computer Science, Sapienza University of RomeVerified email at di.uniroma1.it
