Livoroi A.-H.; Conti A.; Foianesi L.; Tosi F.; Aleotti F.; Poggi M.; Tauro F.; Toth E.; Grimaldi S.; Mattoccia S., On the deployment of out-of-the-box embedded devices for self-powered river surface flow velocity monitoring at the edge, «APPLIED SCIENCES», 2021, 11, Article number: 7027 , pp. 1 - 15 [Scientific article]Open Access
Aleotti, Filippo; Zaccaroni, Giulio; Bartolomei, Luca; Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Real-Time Single Image Depth Perception in the Wild with Handheld Devices, «SENSORS», 2021, 21, Article number: 15 , pp. 1 - 17 [Scientific article]Open Access
M. Poggi, F. Aleotti, S. Mattoccia, Sensor-guided optical flow, in: 2021 IEEE/CVF International Conference on Computer Vision (ICCV), IEEE/CVF, 2021, pp. 7888 - 7898 (atti di: IEEE/CVF International Conference on Computer Vision (ICCV 2021), Montreal, QC, Canada (Virtual), October 11-17, 2021) [Contribution to conference proceedings]Open Access
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 [Scientific article]Open Access
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: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE/CVF, 2020, pp. 4653 - 4664 (atti di: Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Washington, USA, June 16-18, 2020, Seattle) [Contribution to conference proceedings]Open Access
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, Article number: 2047 , pp. 1 - 18 [Scientific article]Open Access
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, 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) [Contribution to conference proceedings]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 [Scientific article]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 [Scientific article]
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, 2020, 34, pp. 10435 - 10442 (atti di: Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, USA, February 7-12 2020) [Contribution to conference proceedings]
Changjiang Cai, Matteo Poggi, Stefano Mattoccia, Philippos Mordohai, Matching-space Stereo Networks for Cross-domain Generalization, in: Proceedings of the 8th International Virtual Conference on 3D Vision (3DV 2020), 2020, pp. 364 - 373 (atti di: 8th International Virtual Conference on 3D Vision (3DV 2020), Online conference due to COVID-19, November 25-28 2020) [Contribution to conference proceedings]
Patent 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) [Contribution to conference proceedings]Open Access
P. L. Dovesi, M. Poggi, L. Andraghetti, M. Martí, H. Kjellström, A. Pieropan, S. Mattoccia, Real-Time Semantic Stereo Matching, in: 2020 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2020, pp. 10780 - 10787 (atti di: International Conference on Robotics and Automation (ICRA 2020), Paris, France, 31 May 2020 - 31 August 2020) [Contribution to conference proceedings]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, 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
