| A review of point clouds segmentation and classification algorithms E Grilli, F Menna, F Remondino The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | 411 | 2017 |
| Classification of 3D digital heritage E Grilli, F Remondino Remote Sensing 11 (7), 847, 2019 | 121 | 2019 |
| Comparing machine and deep learning methods for large 3D heritage semantic segmentation F Matrone, E Grilli, M Martini, M Paolanti, R Pierdicca, F Remondino ISPRS International Journal of Geo-Information 9 (9), 535, 2020 | 84 | 2020 |
| A benchmark for large-scale heritage point cloud semantic segmentation F Matrone, A Lingua, R Pierdicca, ES Malinverni, M Paolanti, E Grilli, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 69 | 2020 |
| A hierarchical machine learning approach for multi-level and multi-resolution 3D point cloud classification S Teruggi, E Grilli, M Russo, F Fassi, F Remondino Remote Sensing 12 (16), 2598, 2020 | 50 | 2020 |
| From 2D to 3D supervised segmentation and classification for cultural heritage applications E Grilli, D Dininno, G Petrucci, F Remondino The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018 | 46 | 2018 |
| Machine learning generalisation across different 3D architectural heritage E Grilli, F Remondino ISPRS International Journal of Geo-Information 9 (6), 379, 2020 | 42 | 2020 |
| Application of machine and deep learning strategies for the classification of heritage point clouds E Grilli, E Özdemir, F Remondino The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 42 | 2019 |
| Geometric features analysis for the classification of cultural heritage point clouds E Grilli, EM Farella, A Torresani, F Remondino The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 37 | 2019 |
| 3D surveying, semantic enrichment and virtual access of large cultural heritage S Teruggi, E Grilli, F Fassi, F Remondino ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2021 | 19 | 2021 |
| Supervised segmentation of 3D cultural heritage E Grilli, D Dininno, L Marsicano, G Petrucci, F Remondino 2018 3rd Digital Heritage International Congress (DigitalHERITAGE) held …, 2018 | 14 | 2018 |
| An advanced photogrammetric solution to measure apples E Grilli, R Battisti, F Remondino Remote Sensing 13 (19), 3960, 2021 | 13 | 2021 |
| Geometric primitive extraction from semantically enriched point clouds S Kyriakaki-Grammatikaki, EK Stathopoulou, E Grilli, F Remondino, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022 | 12 | 2022 |
| Combining visibility analysis and deep learning for refinement of semantic 3D building models by conflict classification O Wysocki, E Grilli, L Hoegner, U Stilla arXiv preprint arXiv:2303.05998, 2023 | 11 | 2023 |
| Handling critical aspects in massive photogrammetric digitization of museum assets EM Farella, L Morelli, E Grilli, S Rigon, F Remondino The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022 | 10 | 2022 |
| Unsupervised object-based clustering in support of supervised point-based 3D point cloud classification E Grilli, F Poux, F Remondino International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021 | 8 | 2021 |
| Cloud-based solution for nationwide power line mapping I Toschi, D Morabito, E Grilli, F Remondino, C Carlevaro, A Cappellotto, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 7 | 2019 |
| Seeing among foliage with LIDAR and machine learning: towards a transferable archaeological pipeline G Mazzacca, E Grilli, GP Cirigliano, F Remondino, S Campana International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022 | 6 | 2022 |
| Knowledge enhanced neural networks for point cloud semantic segmentation E Grilli, A Daniele, M Bassier, F Remondino, L Serafini Remote Sensing 15 (10), 2590, 2023 | 5 | 2023 |
| Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks O Wysocki, Y Xia, M Wysocki, E Grilli, L Hoegner, D Cremers, U Stilla Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
Fabio Remondino3D Optical Metrology - Bruno Kessler FoundationEmail verificata su fbk.eu
