| 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 | 292 | 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 | 265 | 2019 |
| 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 |
| 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 |
| 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 | 85 | 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 | 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 | 51 | 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 | 43 | 2021 |
| 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 | 40 | 2020 |
| Learning optical flow from still images F Aleotti, M Poggi, S Mattoccia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 39 | 2021 |
| Real-time self-supervised monocular depth estimation without gpu M Poggi, F Tosi, F Aleotti, S Mattoccia IEEE Transactions on Intelligent Transportation Systems 23 (10), 17342-17353, 2022 | 27 | 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 | 24 | 2021 |
| Monocular depth perception on microcontrollers for edge applications V Peluso, A Cipolletta, A Calimera, M Poggi, F Tosi, F Aleotti, S Mattoccia IEEE Transactions on Circuits and Systems for Video Technology 32 (3), 1524-1536, 2021 | 21 | 2021 |
| Enabling image-based streamflow monitoring at the edge F Tosi, M Rocca, F Aleotti, M Poggi, S Mattoccia, F Tauro, E Toth, ... Remote Sensing 12 (12), 2047, 2020 | 21 | 2020 |
| Unsupervised confidence for lidar depth maps and applications A Conti, M Poggi, F Aleotti, S Mattoccia 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 13 | 2022 |
| Towards real-time unsupervised monocular depth estimation on cpu. In 2018 IEEE M Poggi, F Aleotti, F Tosi, S Mattoccia RSJ International Conference on Intelligent Robots and Systems (IROS), 5848-5854, 0 | 13 | |
| Self-adapting confidence estimation for stereo M Poggi, F Aleotti, F Tosi, G Zaccaroni, S Mattoccia Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 11 | 2020 |
| Energy-quality scalable monocular depth estimation on low-power cpus A Cipolletta, V Peluso, A Calimera, M Poggi, F Tosi, F Aleotti, S Mattoccia IEEE Internet of Things Journal 9 (1), 25-36, 2021 | 10 | 2021 |
| Sensor-guided optical flow M Poggi, F Aleotti, S Mattoccia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 7 | 2021 |
| Neural disparity refinement F Tosi, F Aleotti, PZ Ramirez, M Poggi, S Salti, S Mattoccia, L Di Stefano IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 6 | 2024 |
Matteo PoggiTenure-Track Assistant professor (RTD-B), University of BolognaAdresă de e-mail confirmată pe unibo.it