| 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 | 281 | 2019 |
| 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 | 236 | 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 | 226 | 2020 |
| 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 | 160 | 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 | 158 | 2018 |
| 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 | 123 | 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 | 113 | 2021 |
| 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 | 112 | 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 | 100 | 2022 |
| 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 | 84 | 2017 |
| Guided stereo matching M Poggi, D Pallotti, F Tosi, S Mattoccia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 83 | 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 | 70 | 2020 |
| 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 | 65 | 2018 |
| 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 | 62 | 2018 |
| 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 | 60 | 2021 |
| 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 | 42 | 2020 |
| 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 | 41 | 2020 |
| Learning confidence measures in the wild F Tosi, M Poggi, S Mattoccia, A Tonioni, L Di Stefano Proceedings of 28th British Machine Vision Conference 2017 (BMVC 2017), 1-13, 2017 | 35 | 2017 |
| Learning end-to-end scene flow by distilling single tasks knowledge F Aleotti, M Poggi, F Tosi, S Mattoccia Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10435 …, 2020 | 31 | 2020 |
| On the confidence of stereo matching in a deep-learning era: a quantitative evaluation M Poggi, S Kim, F Tosi, S Kim, F Aleotti, D Min, K Sohn, S Mattoccia IEEE transactions on pattern analysis and machine intelligence 44 (9), 5293-5313, 2021 | 29 | 2021 |
Stefano MattocciaAssociate Professor of Computer Science, University of BolognaGeverifieerd e-mailadres voor unibo.it
