| Real-time self-adaptive deep stereo A Tonioni, F Tosi, M Poggi, S Mattoccia, LD Stefano Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 313 | 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 | 290 | 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 | 262 | 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 | 223 | 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 | 183 | 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 | 181 | 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 IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5314-5334, 2021 | 176 | 2021 |
| 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 | 142 | 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 | 124 | 2019 |
| 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 | 113 | 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 | 91 | 2017 |
| Smd-nets: Stereo mixture density networks F Tosi, Y Liao, C Schmitt, A Geiger Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 89 | 2021 |
| 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 | 81 | 2020 |
| Optical tracking velocimetry (OTV): Leveraging optical flow and trajectory-based filtering for surface streamflow observations F Tauro, F Tosi, S Mattoccia, E Toth, R Piscopia, S Grimaldi Remote Sensing 10 (12), 2010, 2018 | 74 | 2018 |
| Beyond local reasoning for stereo confidence estimation with deep learning F Tosi, M Poggi, A Benincasa, S Mattoccia Proceedings of the European Conference on Computer Vision (ECCV), 319-334, 2018 | 73 | 2018 |
| Real-time single image depth perception in the wild with handheld devices F Aleotti, G Zaccaroni, L Bartolomei, M Poggi, F Tosi, S Mattoccia Sensors 21 (1), 15, 2020 | 53 | 2020 |
| Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation F Aleotti, F Tosi, L Zhang, M Poggi, S Mattoccia Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 53 | 2020 |
| How nerfs and 3d gaussian splatting are reshaping slam: a survey F Tosi, Y Zhang, Z Gong, E Sandström, S Mattoccia, MR Oswald, M Poggi arXiv preprint arXiv:2402.13255 4, 2024 | 47 | 2024 |
| Nerf-supervised deep stereo F Tosi, A Tonioni, D De Gregorio, M Poggi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 45 | 2023 |
Matteo PoggiTenure-Track Assistant professor (RTD-B), University of Bolognaunibo.it의 이메일 확인됨