| Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound S Roy, W Menapace, S Oei, B Luijten, E Fini, C Saltori, I Huijben, ... IEEE transactions on medical imaging 39 (8), 2676-2687, 2020 | 620 | 2020 |
| Incremental learning for the detection and classification of gan-generated images F Marra, C Saltori, G Boato, L Verdoliva 2019 IEEE international workshop on information forensics and security (WIFS …, 2019 | 169 | 2019 |
| SF-UDA3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection C Saltori, S Lathuiliére, N Sebe, E Ricci, F Galasso 2020 International Conference on 3D Vision (3DV), 771-780, 2020 | 82 | 2020 |
| Cosmix: Compositional semantic mix for domain adaptation in 3d lidar segmentation C Saltori, F Galasso, G Fiameni, N Sebe, E Ricci, F Poiesi European Conference on Computer Vision, 586-602, 2022 | 71 | 2022 |
| Overlap-guided gaussian mixture models for point cloud registration G Mei, F Poiesi, C Saltori, J Zhang, E Ricci, N Sebe Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 34 | 2023 |
| Gipso: Geometrically informed propagation for online adaptation in 3d lidar segmentation C Saltori, E Krivosheev, S Lathuiliére, N Sebe, F Galasso, G Fiameni, ... European Conference on Computer Vision, 567-585, 2022 | 28 | 2022 |
| Novel class discovery for 3d point cloud semantic segmentation L Riz, C Saltori, E Ricci, F Poiesi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 22 | 2023 |
| Embedding group and obstacle information in lstm networks for human trajectory prediction in crowded scenes N Bisagno, C Saltori, B Zhang, FGB De Natale, N Conci Computer Vision and Image Understanding 203, 103126, 2021 | 20 | 2021 |
| Walking your lidog: A journey through multiple domains for lidar semantic segmentation C Saltori, A Osep, E Ricci, L Leal-Taixé Proceedings of the IEEE/CVF International Conference on Computer Vision, 196-206, 2023 | 15 | 2023 |
| Compositional semantic mix for domain adaptation in point cloud segmentation C Saltori, F Galasso, G Fiameni, N Sebe, F Poiesi, E Ricci IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 13 | 2023 |
| Regularized evolutionary algorithm for dynamic neural topology search C Saltori, S Roy, N Sebe, G Iacca Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019 | 13 | 2019 |
| Low-budget label query through domain alignment enforcement C Saltori, P Rota, N Sebe, J Almeida Computer Vision and Image Understanding 222, 103485, 2022 | 10* | 2022 |
| Data augmentation-free unsupervised learning for 3d point cloud understanding G Mei, C Saltori, F Poiesi, J Zhang, E Ricci, N Sebe, Q Wu arXiv preprint arXiv:2210.02798, 2022 | 8 | 2022 |
| Unsupervised Point Cloud Representation Learning by Clustering and Neural Rendering G Mei, C Saltori, E Ricci, N Sebe, Q Wu, J Zhang, F Poiesi International Journal of Computer Vision, 1-19, 2024 | 4 | 2024 |
| Novel class discovery meets foundation models for 3D semantic segmentation L Riz, C Saltori, Y Wang, E Ricci, F Poiesi International Journal of Computer Vision, 2024 | | 2024 |
| Handling Domain Shift in 3D Point Cloud Perception C Saltori Università degli studi di Trento, 2024 | | 2024 |
| Supplementary Material: Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation C Saltori, A Ošep, E Ricci, L Leal-Taixé | | |
| Supplementary Material: Novel Class Discovery for 3D Point Cloud Semantic Segmentation L Riz, C Saltori, E Ricci, F Poiesi | | |
Elisa RicciUniversity of Trento & Fondazione Bruno Kesslerunitn.it의 이메일 확인됨