| Geometry meets semantics for semi-supervised monocular depth estimation P Zama Ramirez, M Poggi, F Tosi, S Mattoccia, L Di Stefano Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 113 | 2019 |
| Distilled semantics for comprehensive scene understanding from videos F Tosi, F Aleotti, PZ Ramirez, M Poggi, S Salti, LD Stefano, S Mattoccia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 72 | 2020 |
| Learning across tasks and domains PZ Ramirez, A Tonioni, S Salti, LD Stefano Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 34 | 2019 |
| Exploiting semantics in adversarial training for image-level domain adaptation PZ Ramirez, A Tonioni, L Di Stefano 2018 IEEE International Conference on Image Processing, Applications and …, 2018 | 24 | 2018 |
| NTIRE 2023 challenge on hr depth from images of specular and transparent surfaces PZ Ramirez, F Tosi, L Di Stefano, R Timofte, A Costanzino, M Poggi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| 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 (ICLR), 2023 | 20 | 2023 |
| Open challenges in deep stereo: the booster dataset PZ Ramirez, F Tosi, M Poggi, S Salti, S Mattoccia, L Di Stefano Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 15 | 2022 |
| 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 |
| Cross-spectral neural radiance fields M Poggi, PZ Ramirez, F Tosi, S Salti, S Mattoccia, L Di Stefano 2022 International Conference on 3D Vision (3DV), 606-616, 2022 | 13 | 2022 |
| 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 | 13 | 2022 |
| Neural disparity refinement for arbitrary resolution stereo F Aleotti, F Tosi, PZ Ramirez, M Poggi, S Salti, S Mattoccia, L Di Stefano 2021 International Conference on 3D Vision (3DV), 207-217, 2021 | 12 | 2021 |
| 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 | 10 | 2021 |
| Unsupervised novel view synthesis from a single image PZ Ramirez, DM Arroyo, A Tonioni, F Tombari arXiv preprint arXiv:2102.03285, 2021 | 9 | 2021 |
| 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 | 6 | 2023 |
| Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces PZ Ramirez, A Costanzino, F Tosi, M Poggi, S Salti, S Mattoccia, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 5 | 2023 |
| Yong A, Yixiang Jin, Dingzhe Li, Chao Li, Zhiwen Liu, Qi Zhang, Yixing Wang, and Shi Yin. NTIRE 2023 challenge on hr depth from images of specular and transparent surfaces PZ Ramirez, T Fabio, L Di Stefano, R Timofte, A Costanzino, M Poggi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 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 | 5 | 2023 |
| 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 | 4 | 2023 |
| RGB-Multispectral matching: Dataset, learning methodology, evaluation F Tosi, PZ Ramirez, M Poggi, S Salti, S Mattoccia, L Di Stefano Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 4 | 2022 |
Luigi Di StefanoFull Professor, University of BolognaVerified email at unibo.it
