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 | 283 | 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 | 237 | 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 | 233 | 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 | 162 | 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 | 160 | 2018 |
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 | 139 | 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 | 126 | 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 | 120 | 2020 |
Learning from scratch a confidence measure M Poggi, S Mattoccia British Machine Vision Conference (BMVC) 2016, 2016 | 118 | 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 | 114 | 2017 |
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 |
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 | 106 | 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 | 85 | 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 |
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 | 80 | 2021 |
Learning a general-purpose confidence measure based on o (1) features and a smarter aggregation strategy for semi global matching M Poggi, S Mattoccia 3D Vision (3DV), 2016 Fourth International Conference on, 509-518, 2016 | 79 | 2016 |
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 |
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 | 71 | 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 | 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 | 66 | 2018 |