Foto del docente

Fabio Tosi

Dottorando

Dipartimento di Informatica - Scienza e Ingegneria

Tutor didattico

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Pubblicazioni

Poggi, Matteo; Agresti, Gianluca; Tosi, Fabio; Zanuttigh, Pietro; Mattoccia, Stefano, Confidence Estimation for ToF and Stereo Sensors and Its Application to Depth Data Fusion, «IEEE SENSORS JOURNAL», 2020, 20, pp. 1411 - 1421 [articolo]

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) [Contributo in Atti di convegno]

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) [Contributo in Atti di convegno]

F. Tosi, F. Aleotti, M. Poggi, S. Mattoccia, Learning monocular depth estimation infusing traditional stereo knowledge, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, IEEE/CVF, 2019, pp. 9799 - 9809 (atti di: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, June 16-20 2019) [Contributo in Atti di convegno]

F. Tosi , M. Poggi, S. Mattoccia, Learning to detect and take advantage of reliable anchor points for embedded stereo refinement, 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) [Contributo in Atti di convegno]

Brevetto n. 102019000006964, Metodo di determinazione della profondità da immagini e relativo sistema.

Brevetto 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: Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition 2019, 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) [Contributo in Atti di convegno]

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) [Contributo in Atti di convegno]

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), 2018, pp. 1 - 18 (atti di: 3D Reconstruction in the Wild 2018 (3DRW2018), ECCV 2018 Workshop, Munich, Germany, September 14, 2018) [Contributo in Atti di convegno]

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), 2018, pp. 1 - 16 (atti di: 14th Asian Conference on Computer Vision (ACCV), Perth, Australia, December 2-6, 2018) [Contributo in Atti di convegno]

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) [Contributo in Atti di convegno]

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, pp. 2010-1 - 2010-24 [articolo]

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) [Contributo in Atti di convegno]

Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Efficient confidence measures for embedded stereo, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, «LECTURE NOTES IN COMPUTER SCIENCE», 2017, 10484, pp. 483 - 494 (atti di: 19th International Conference on Image Analysis and Processing, ICIAP 2017, ita, 2017) [Contributo in Atti di convegno]

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