Peluso V.; Cipolletta A.; Calimera A.; Poggi M.; Tosi F.; Aleotti F.; Mattoccia S., Enabling monocular depth perception at the very edge, in: 2020 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, IEEE Computer Society, «IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS», 2020, pp. 1581 - 1583 (atti di: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020, Seattle, WA, USA, 14-19 June 2020) [Contributo in Atti di convegno]Open Access
Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Good cues to learn from scratch a confidence measure for passive depth sensors, «IEEE SENSORS JOURNAL», 2020, 20, Article number: 9123913, pp. 13533 - 13541 [articolo]Open Access
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), Palo Alto, California USA, AAAI Press, «PROCEEDINGS OF THE ... AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE», 2020, 34, pp. 10435 - 10442 (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: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE/CVF, 2020, pp. 3224 - 3234 (atti di: Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Seattle, Washington, USA, 13-19 June 2020) [Contributo in Atti di convegno]Open Access
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, «LECTURE NOTES IN COMPUTER SCIENCE», 2020, 12356, pp. 614 - 632 (atti di: 16th European Conference on Computer Vision (ECCV 2020), Glasgow, UK (Virtual), 23-28 August 2020) [Contributo in Atti di convegno]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, «LECTURE NOTES IN COMPUTER SCIENCE», 2020, 12369, pp. 715 - 733 (atti di: 16th European Conference on Computer Vision (ECCV 2020), Glasgow, UK (Virtual), 23-28 August 2020) [Contributo in Atti di convegno]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) [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), Springer, 2019, pp. 337 - 354 (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), 2019, pp. 298 - 313 (atti di: 14th Asian Conference on Computer Vision (ACCV), Perth, Australia, December 2-6, 2018) [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: 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) [Contributo in Atti di convegno]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) [Contributo in Atti di convegno]
Brevetto n. 102019000006964, Metodo di determinazione della profondità da immagini e relativo sistema.
