| Real-time self-adaptive deep stereo A Tonioni, F Tosi, M Poggi, S Mattoccia, LDI Stefano Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 317 | 2019 |
| On the uncertainty of self-supervised monocular depth estimation M Poggi, F Aleotti, F Tosi, S Mattoccia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 293 | 2020 |
| Learning monocular depth estimation infusing traditional stereo knowledge F Tosi, F Aleotti, M Poggi, S Mattoccia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 267 | 2019 |
| Monovit: Self-supervised monocular depth estimation with a vision transformer C Zhao, Y Zhang, M Poggi, F Tosi, X Guo, Z Zhu, G Huang, Y Tang, ... 2022 international conference on 3D vision (3DV), 668-678, 2022 | 234 | 2022 |
| Towards real-time unsupervised monocular depth estimation on cpu M Poggi, F Aleotti, F Tosi, S Mattoccia 2018 IEEE/RSJ international conference on intelligent robots and systems …, 2018 | 184 | 2018 |
| Learning monocular depth estimation with unsupervised trinocular assumptions M Poggi, F Tosi, S Mattoccia 2018 International conference on 3d vision (3DV), 324-333, 2018 | 183 | 2018 |
| On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey M Poggi, F Tosi, K Batsos, P Mordohai, S Mattoccia arXiv preprint arXiv:2004.08566, 2020 | 178 | 2020 |
| A wearable mobility aid for the visually impaired based on embedded 3D vision and deep learning M Poggi, S Mattoccia 2016 IEEE symposium on computers and communication (ISCC), 208-213, 2016 | 142 | 2016 |
| Generative adversarial networks for unsupervised monocular depth prediction F Aleotti, F Tosi, M Poggi, S Mattoccia Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 140 | 2018 |
| 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 | 132 | 2019 |
| Learning from scratch a confidence measure M Poggi, S Mattoccia British Machine Vision Conference (BMVC) 2016, 2016 | 127 | 2016 |
| Unsupervised adaptation for deep stereo A Tonioni, M Poggi, S Mattoccia, L Di Stefano Proceedings of the IEEE International Conference on Computer Vision, 1605-1613, 2017 | 124 | 2017 |
| Go-slam: Global optimization for consistent 3d instant reconstruction Y Zhang, F Tosi, S Mattoccia, M Poggi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 122 | 2023 |
| A computer vision approach based on deep learning for the detection of dairy cows in free stall barn P Tassinari, M Bovo, S Benni, S Franzoni, M Poggi, LME Mammi, ... Computers and Electronics in Agriculture 182, 106030, 2021 | 105 | 2021 |
| Completionformer: Depth completion with convolutions and vision transformers Y Zhang, X Guo, M Poggi, Z Zhu, G Huang, S Mattoccia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 103 | 2023 |
| Guided stereo matching M Poggi, D Pallotti, F Tosi, S Mattoccia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 99 | 2019 |
| Quantitative evaluation of confidence measures in a machine learning world M Poggi, F Tosi, S Mattoccia Proceedings of the IEEE International Conference on Computer Vision, 5228-5237, 2017 | 93 | 2017 |
| 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 | 86 | 2020 |
| Unsupervised domain adaptation for depth prediction from images A Tonioni, M Poggi, S Mattoccia, L Di Stefano IEEE transactions on pattern analysis and machine intelligence 42 (10), 2396 …, 2019 | 85 | 2019 |
| Real-time semantic stereo matching PL Dovesi, M Poggi, L Andraghetti, M Martí, H Kjellström, A Pieropan, ... 2020 IEEE international conference on robotics and automation (ICRA), 10780 …, 2020 | 83 | 2020 |
Stefano MattocciaAssociate Professor of Computer Science, University of BolognaZweryfikowany adres z unibo.it