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Matteo Poggi

Ricercatore a tempo determinato tipo a) (junior)

Dipartimento di Informatica - Scienza e Ingegneria

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

Pubblicazioni

Tosi, F.; Poggi, M.; Mattoccia, S.; Tonioni, A.; Di Stefano, L.;, Learning confidence measures in the wild, in: Proceedings of 28th British Machine Vision Conference 2017 (BMVC 2017), The British Machine Vision Association and Society for Pattern Recognition, 2017, pp. 1 - 13 (atti di: 28th British Machine Vision Conference 2017 (BMVC 2017), London, Imperial College, 4th-7th September 2017) [Contributo in Atti di convegno]

Poggi, Matteo; Mattoccia, Stefano, Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps, in: Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2017, pp. 4541 - 4550 (atti di: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii (USA), July 21-26, 2017) [Contributo in Atti di convegno]

Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Quantitative Evaluation of Confidence Measures in a Machine Learning World, in: 2017 IEEE International Conference on Computer Vision (ICCV), New York, IEEE, 2017, pp. 5238 - 5247 (atti di: 16th edition of the IEEE International Conference on Computer Vision, Venice, Italy, October 22-29, 2017) [Contributo in Atti di convegno]Open Access

Tonioni, Alessio; Poggi, Matteo; Mattoccia, Stefano; Luigi Di, Stefano, Unsupervised Adaptation for Deep Stereo, in: Proceedings 16th edition of the IEEE International Conference on Computer Vision, IEEE, 2017, pp. 1614 - 1622 (atti di: IEEE International Conference on Computer Vision, Venice, Italy, October 22-29, 2017) [Contributo in Atti di convegno]

Poggi, Matteo; Mattoccia, Stefano, A wearable mobility aid for the visually Impaired based on embedded 3D vision and deep learning, in: Proceedings - IEEE Symposium on Computers and Communications, Piscataway, NJ, Institute of Electrical and Electronics Engineers Inc., 2016, pp. 208 - 213 (atti di: First IEEE Workshop on ICT Solutions for eHealth (IEEE ICTS4eHealth 2016) in conjunction with the Twenty-First IEEE Symposium on Computers and Communications, Messina, June 27-30, 2016) [Contributo in Atti di convegno]

Poggi, Matteo; Mattoccia, Stefano, Deep stereo fusion: Combining multiple disparity hypotheses with deep-learning, in: Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016, Institute of Electrical and Electronics Engineers Inc., 2016, pp. 138 - 147 (atti di: 4th International Conference on 3D Vision, 3DV 2016, usa, 2016) [Contributo in Atti di convegno]

Poggi, Matteo; Mattoccia, Stefano, Evaluation of variants of the SGM algorithm aimed at implementation on embedded or reconfigurable devices, in: 2016 International Conference on 3D Imaging, IC3D 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2016, pp. 1 - 8 (atti di: 6th International Conference on 3D Imaging, IC3D 2016, Belgio, DEC 13-14, 2016) [Contributo in Atti di convegno]

Boschini, Matteo; Poggi, Matteo; Mattoccia, Stefano, Improving the reliability of 3D people tracking system by means of deep-learning, in: 2016 International Conference on 3D Imaging, IC3D 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2016, pp. 1 - 8 (atti di: 6th International Conference on 3D Imaging, IC3D 2016, Belgio, 2016) [Contributo in Atti di convegno]

Poggi, Matteo; Mattoccia, Stefano, Learning a general-purpose confidence measure based on O(1) features and a smarter aggregation strategy for semi global matching, in: Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016, Institute of Electrical and Electronics Engineers Inc., 2016, pp. 509 - 518 (atti di: 4th International Conference on 3D Vision, 3DV 2016, usa, 2016) [Contributo in Atti di convegno]

Matteo, Poggi; Mattoccia, Stefano, Learning from scratch a confidence measure, in: Proceedings of the 2016 British Machine Vision Conference, BMVA Press, 2016, pp. 1 - 12 (atti di: British Machine Vision Conference 2016, York, United Kingdom, 19-22 September 2016) [Contributo in Atti di convegno]

Mattoccia, Stefano; Poggi, Matteo, A passive RGBD sensor for accurate and real-time depth sensing self-contained into an FPGA, in: Proceedings of the 9th International Conference on Distributed Smart Cameras, ICDSC 2015, Association for Computing Machinery, 2015, pp. 146 - 151 (atti di: 9th International Conference on Distributed Smart Cameras, ICDSC 2015, Seville, Spain, September 8 - 11, 2015) [Contributo in Atti di convegno]

Poggi, Matteo; Nanni, Luca; Mattoccia, Stefano, Crosswalk Recognition Through Point-Cloud Processing and Deep-Learning Suited to a Wearable Mobility Aid for the Visually Impaired, in: New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops Volume 9281 of the series Lecture Notes in Computer Science, Springer, 2015, 9281, pp. 282 - 289 (atti di: ISCA 2015 - IMAGE-BASED SMART CITY APPLICATION, Genova, September 8th, 2015) [Contributo in Atti di convegno]

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