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

M. Poggi, F. Tosi, F. Aleotti, S. Mattoccia, Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation, in: 25th International Conference on Pattern Recognition (ICPR 2020), in corso di stampa, pp. 1 - 8 (atti di: 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy, January 10-15, 2021) [Contributo in Atti di convegno]

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), in corso di stampa, pp. 1 - 18 (atti di: 16th European Conference on Computer Vision (ECCV 2020), Glasgow, UK, 23-28 August 2020) [Contributo in Atti di convegno]

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), in corso di stampa, pp. 1 - 18 (atti di: 16th European Conference on Computer Vision (ECCV 2020), Glasgow, UK, 23-28 August 2020) [Contributo in Atti di convegno]

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]

F. Tosi, F. Aleotti, P. Zama Ramirez, M. Poggi, S. Salti, L. Di Stefano, S. Mattoccia, Distilled semantics for comprehensive scene understanding from videos, in: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, IEEE/CVF, 2020, pp. 4654 - 4665 (atti di: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Washington, USA, June 16-18, 2020, Seattle) [Contributo in Atti di convegno]

Tosi, Fabio; Rocca, Matteo; Aleotti, Filippo; Poggi, Matteo; Mattoccia, Stefano; Tauro, Flavia; Toth, Elena; Grimaldi, Salvatore, Enabling Image-Based Streamflow Monitoring at the Edge, «REMOTE SENSING», 2020, 12, pp. 2047 - 2064 [articolo]

V. Peluso, A. Cipolletta, A. Calimera, M. Poggi, F. Tosi, F. Aleotti, S. Mattoccia, Enabling Monocular Depth Perception at the Very Edge, in: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops - Low-Power Computer Vision Challenge, IEEE/CVF, 2020, pp. 1 - 3 (atti di: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops - Low-Power Computer Vision Challenge, Seattle, Washington, USA, June 15, 2020) [Contributo in Atti di convegno]

Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Good cues to learn from scratch a confidence measure for passive depth sensors, «IEEE SENSORS JOURNAL», 2020, Early access, in fase di pubblicazione, pp. 1 - 9 [articolo]

Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Learning a confidence measure in the disparity domain from O(1) features, «COMPUTER VISION AND IMAGE UNDERSTANDING», 2020, 193, pp. 1 - 8 [articolo]

F. Aleotti, M. Poggi, F. Tosi, S. Mattoccia, Learning end-to-end scene flow by distilling single tasks knowledge, in: Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020, pp. 1 - 13 (atti di: Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, USA, February 7-12 2020) [Contributo in Atti di convegno]

Brevetto n. 102020000016054, Method for determining the confidence of a disparity map through a self-adaptive learning of a neural network, and sensor system thereof.

M. Poggi, F. Aleotti, F. Tosi, S. Mattoccia, On the Uncertainty of Self-Supervised Monocular Depth Estimation, in: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, IEEE/CVF, 2020, pp. 3227 - 3237 (atti di: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Seattle, Washington, USA, June 16-18, 2020) [Contributo in Atti di convegno]

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]

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