| Permutation equivariant neural functionals A Zhou, K Yang, K Burns, A Cardace, Y Jiang, S Sokota, JZ Kolter, C Finn Advances in neural information processing systems 36, 2024 | 51 | 2024 |
| Deep learning on implicit neural representations of shapes L De Luigi, A Cardace, R Spezialetti, PZ Ramirez, S Salti, L Di Stefano The Eleventh International Conference on Learning Representations, 2023 | 46 | 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 | 21 | 2022 |
| Self-distillation for unsupervised 3D domain adaptation A Cardace, R Spezialetti, PZ Ramirez, S Salti, L Di Stefano Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 20 | 2023 |
| Exploiting the complementarity of 2d and 3d networks to address domain-shift in 3d semantic segmentation A Cardace, PZ Ramirez, S Salti, L Di Stefano Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 15 | 2023 |
| Refrec: Pseudo-labels refinement via shape reconstruction for unsupervised 3d domain adaptation A Cardace, R Spezialetti, PZ Ramirez, S Salti, L Di Stefano 2021 International Conference on 3D Vision (3DV), 331-341, 2021 | 15 | 2021 |
| Shallow features guide unsupervised domain adaptation for semantic segmentation at class boundaries A Cardace, PZ Ramirez, S Salti, L Di Stefano Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 14 | 2022 |
| Neural processing of tri-plane hybrid neural fields A Cardace, PZ Ramirez, F Ballerini, A Zhou, S Salti, L Di Stefano The Twelfth International Conference on Learning Representations, 2024 | 6 | 2024 |
| 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 45 (8), 9981-9995, 2023 | 6 | 2023 |
| Deep learning on 3D neural fields PZ Ramirez, L De Luigi, D Sirocchi, A Cardace, R Spezialetti, F Ballerini, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 3 | 2023 |
| MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception MM Rahman, R Yataka, S Kato, PP Wang, P Li, A Cardace, P Boufounos The 18th European Conference on Computer Vision ECCV 2024, 2024 | 2 | 2024 |
| Deep Learning on Object-Centric 3D Neural Fields PZ Ramirez, L De Luigi, D Sirocchi, A Cardace, R Spezialetti, F Ballerini, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 1 | 2024 |
| RETR: Multi-View Radar Detection Transformer for Indoor Perception R Yataka, A Cardace, PP Wang, P Boufounos, R Takahashi arXiv preprint arXiv:2411.10293, 2024 | | 2024 |
| Learning with limited data A Cardace alma, 2024 | | 2024 |
| Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion A Cardace, A Conti, PZ Ramirez, R Spezialetti, S Salti, L Di Stefano IEEE Access, 2023 | | 2023 |
| Learning Features Across Tasks and Domains A Cardace | | |
| Implementazione del modello di Biham-Middleton-Levine sulla Parallella Board A Cardace | | |
Luigi Di StefanoFull Professor, University of BolognaEmail verificata su unibo.it