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
Arcidiacono C.; Barbari M.; Benni S.; Carfagna E.; Cascone G.; Conti L.; di Stefano L.; Guarino M.; Leso L.; Lovarelli D.; Mancino M.; Mattoccia S.; Minozzi G.; Porto S.M.C.; Provolo G.; Rossi G.; Sandrucci A.; Tamburini A.; Tassinari P.; Tomasello N.; Torreggiani D.; Valenti F., Smart Dairy Farming: Innovative Solutions to Improve Herd Productivity, in: Innovative Biosystems Engineering for Sustainable Agriculture, Forestry and Food Production, Cham, Springer, 2020, pp. 265 - 270 (LECTURE NOTES IN CIVIL ENGINEERING) [capitolo di libro]Open Access
Tonioni, Alessio; Poggi, Matteo; Mattoccia, Stefano; Di Stefano, Luigi, Unsupervised Domain Adaptation for Depth Prediction from Images, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2020, 42, pp. 2396 - 2409 [articolo]Open Access
Stefano Benni, Filippo Bonora, Luigi Di Stefano, Stefano Mattoccia, Matteo Poggi, Patrizia Tassinari, Daniele Torreggiani, COMPUTER VISION IDENTIFICATION AND POSITION DETECTION OF FRIESIAN COWS, in: Biosystem Engineering for sustainable agriculture, forestry and food production Conference Proceedings Book, 2019, pp. 211 - 211 (atti di: Biosystem Engineering for sustainable agriculture, forestry and food production, Matera (Italy), 12-13 September 2019) [atti di convegno-abstract]
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]
Andraghetti L.; Myriokefalitakis P.; Dovesi P.L.; Luque B.; Poggi M.; Pieropan A.; Mattoccia S., Enhancing Self-Supervised Monocular Depth Estimation with Traditional Visual Odometry, in: Proceedings - 2019 International Conference on 3D Vision, 3DV 2019, Institute of Electrical and Electronics Engineers Inc., 2019, pp. 424 - 433 (atti di: 7th International Conference on 3D Vision, 3DV 2019, Quebec City, Canada, September 16-19 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.
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: 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) [Contributo in Atti di convegno]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) [Contributo in Atti di convegno]
