| Deep learning on implicit neural representations of shapes L De Luigi, A Cardace, R Spezialetti, PZ Ramirez, S Salti, L Di Stefano arXiv preprint arXiv:2302.05438, 2023 | 19 | 2023 |
| Plugging self-supervised monocular depth into unsupervised domain adaptation for semantic segmentation A Cardace, L De Luigi, PZ Ramirez, S Salti, L Di Stefano Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 15 | 2022 |
| Shooting labels: 3d semantic labeling by virtual reality PZ Ramirez, C Paternesi, L De Luigi, L Lella, D De Gregorio, L Di Stefano 2020 IEEE International Conference on Artificial Intelligence and Virtual …, 2020 | 15 | 2020 |
| Drapenet: Garment generation and self-supervised draping L De Luigi, R Li, B Guillard, M Salzmann, P Fua Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| Scannerf: a scalable benchmark for neural radiance fields L De Luigi, D Bolognini, F Domeniconi, D De Gregorio, M Poggi, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 11 | 2023 |
| Systems and methods for utilizing machine learning and other models to reconstruct a vehicle accident scene from video F Sambo, L Taccari, M Boschi, L De Luigi, S Salti US Patent 11,403,851, 2022 | 6 | 2022 |
| DrapeNet: Generating Garments and Draping them with Self-Supervision L De Luigi, R Li, B Guillard, M Salzmann, P Fua arXiv preprint arXiv:2211.11277, 2022 | 5 | 2022 |
| Learning good features to transfer across tasks and domains PZ Ramirez, A Cardace, L De Luigi, A Tonioni, S Salti, L Di Stefano IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 3 | 2023 |
| Lightweight and effective convolutional neural networks for vehicle viewpoint estimation from monocular images S Magistri, M Boschi, F Sambo, DC de Andrade, M Simoncini, L Kubin, ... IEEE Transactions on Intelligent Transportation Systems 24 (1), 191-200, 2022 | 3 | 2022 |
| Deep Learning on 3D Neural Fields PZ Ramirez, L De Luigi, D Sirocchi, A Cardace, R Spezialetti, F Ballerini, ... arXiv preprint arXiv:2312.13277, 2023 | 1 | 2023 |
| Systems and methods for utilizing machine learning models to reconstruct a vehicle accident scene from video F Sambo, L Taccari, M Boschi, L De Luigi, S Salti US Patent 11,798,281, 2023 | 1 | 2023 |
| Learning the Space of Deep Models G Berardi, L De Luigi, S Salti, L Di Stefano 2022 26th International Conference on Pattern Recognition (ICPR), 2482-2488, 2022 | 1 | 2022 |
| Dynamic Bird’s Eye View Reconstruction of Driving Accidents M Boschi, L De Luigi, S Salti, F Sambo, DC de Andrade, L Taccari, ... IEEE Transactions on Intelligent Transportation Systems, 2024 | | 2024 |
| Deep Learning on 3D Neural Fields P Zama Ramirez, L De Luigi, D Sirocchi, A Cardace, R Spezialetti, ... arXiv e-prints, arXiv: 2312.13277, 2023 | | 2023 |
| Deploying and processing neural representations of signals L De Luigi alma, 2023 | | 2023 |
| Learning good features to transfer across tasks and domains A Cardace, A Tonioni, L De Luigi, L Di Stefano, PZ Ramirez, S Salti | | 2023 |
| NERF2VEC: DEEP LEARNING ON NEURAL RADIANCE FIELDS D Sirocchi, S Salti, L De Luigi, PZ Ramirez | | |
| Supplementary Material for DrapeNet: Garment Generation and Self-Supervised Draping L De Luigi, R Li, B Guillard, M Salzmann, P Fua | | |
| Alignment of Implicit Neural Representations of 3D Shapes via Permutation Symmetries S Salti, L De Luigi, A Cardace, PZ Ramirez, L Di Stefano, F Ballerini | | |
| Learning Features Across Tasks and Domains L Di Stefano, PZ Ramirez, L De Luigi, S Salti, L Paganelli, A Cardace | | |
