F. Aleotti, F. Tosi, L. Zhang, M. Poggi, S. Mattoccia,, Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation, in: 16th European Conference on Computer Vision (ECCV 2020), Heidelberg, Springer, 2020, 12356, pp. 614 - 632 (atti di: 16th European Conference on Computer Vision (ECCV 2020), Glasgow, UK (Virtual), 23-28 August 2020) [Contribution to conference proceedings]Open Access
M. Poggi, F. Aleotti, F. Tosi, Giulio Zaccaroni, S. Mattoccia, Self-adapting confidence estimation for stereo, in: 16th European Conference on Computer Vision (ECCV 2020), Heidelberg, Springer, 2020, 12369, pp. 715 - 733 (atti di: 16th European Conference on Computer Vision (ECCV 2020), Glasgow, UK (Virtual), 23-28 August 2020) [Contribution to conference proceedings]Open Access
Peluso, V.; Cipolletta, A.; Calimera, A.; Poggi, M.; Tosi, F.; Mattoccia, S., Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms, in: Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019, Institute of Electrical and Electronics Engineers Inc., 2019, pp. 1703 - 1708 (atti di: 22nd Design, Automation and Test in Europe Conference and Exhibition, DATE 2019, Firenze Fiera, ita, 2019) [Contribution to conference proceedings]
F. Aleotti, F. Tosi, M. Poggi, S. Mattoccia, Generative Adversarial Networks for unsupervised monocular depth prediction, in: Proceedings of 3D Reconstruction in the Wild 2018 (3DRW2018), in conjunction with (ECCV 2018), Springer, 2019, pp. 337 - 354 (atti di: 3D Reconstruction in the Wild 2018 (3DRW2018), ECCV 2018 Workshop, Munich, Germany, September 14, 2018) [Contribution to conference proceedings]
P. Zama Ramirez, M. Poggi, F. Tosi, S. Mattoccia, L. Di Stefano, Geometry meets semantic for semi-supervised monocular depth estimation, in: Proceedings of the 14th Asian Conference on Computer Vision (ACCV), 2019, pp. 298 - 313 (atti di: 14th Asian Conference on Computer Vision (ACCV), Perth, Australia, December 2-6, 2018) [Contribution to conference proceedings]
M. Poggi, D. Pallotti, F. Tosi, S. Mattoccia, Guided stereo matching, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, IEEE/CVF, 2019, pp. 979 - 988 (atti di: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, June 16-20 2019) [Contribution to conference proceedings]
F. Tosi, F. Aleotti, M. Poggi, S. Mattoccia, Learning monocular depth estimation infusing traditional stereo knowledge, in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2019, pp. 9799 - 9809 (atti di: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, June 16-20 2019) [Contribution to conference proceedings]Open Access
F. Tosi , M. Poggi, S. Mattoccia, Leveraging confident points for accurate depth refinement on embedded systems, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, Computer Vision Foundation, 2019, pp. 1 - 10 (atti di: 15th IEEE Embedded Vision Workshop (EVW 2019) held in conjunction with CVPR 2019, Long Beach (USA), June 16 2019) [Contribution to conference proceedings]
Patent n. 102019000006964, Metodo di determinazione della profondità da immagini e relativo sistema.
Patent n. 102019000022707, Metodo per determinare la profondità da immagini mediante apprendimento auto-adattivo di una rete neurale e relativo sistema.
A. Tonioni, F. Tosi , M. Poggi, S. Mattoccia, L. Di Stefano, Real-time self-adaptive deep stereo, in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New York, IEEE/CVF, 2019, pp. 195 - 204 (atti di: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, June 16-20 2019) [Contribution to conference proceedings]Open Access
Tosi, Fabio; Poggi, Matteo*; Benincasa, Antonio; Mattoccia, Stefano, Beyond local reasoning for stereo confidence estimation with deep learning, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 2018, 11210, pp. 323 - 338 (atti di: 15th European Conference on Computer Vision, ECCV 2018, Munich, Germany, September 8-14, 2018) [Contribution to conference proceedings]
Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions, in: Proceedings of the 6th international conference on 3D Vision, NEW YORK, NY 10017, IEEE, 2018, pp. 324 - 333 (atti di: 6th international conference on 3D Vision, Verona, September 5-8, 2018) [Contribution to conference proceedings]
Tauro, Flavia; Tosi, Fabio; Mattoccia, Stefano; Toth, Elena; Piscopia, Rodolfo; Grimaldi, Salvatore, Optical Tracking Velocimetry (OTV): Leveraging Optical Flow and Trajectory-Based Filtering for Surface Streamflow Observations, «REMOTE SENSING», 2018, 10, Article number: 2010 , pp. 1 - 24 [Scientific article]Open Access
M. Poggi, F. Aleotti, F. Tosi, S. Mattoccia, Towards real-time unsupervised monocular depth estimation on CPU, in: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), IEEE, 2018, pp. 1 - 7 (atti di: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Madrid, Spain, October, 1-5, 2018) [Contribution to conference proceedings]
