Foto del docente

Samuele Salti

Associate Professor

Department of Computer Science and Engineering

Academic discipline: IINF-05/A Information Processing Systems

Publications

Patent n. US10762725B2, Automatic classification of inactive vehicle tracking unit.

Marcon Marlon; Spezialetti Riccardo; Salti Samuele; Silva Luciano; Di Stefano Luigi, Boosting Object Recognition in Point Clouds by Saliency Detection, in: New Trends in Image Analysis and Processing – ICIAP 2019, Springer Verlag, 2019, 11808, pp. 321 - 331 (atti di: Industrial session held at the 20th International Conference on Image Analysis and Processing, ICIAP 2019, Italia, 13/09/2019) [Contribution to conference proceedings]

Bravi Luca; Simoncini Matteo; Taccari Leonardo; Sarti Leonardo; Caprasecca Stefano; Benericetti Andrea; Lori Alessandro; Salti Samuele; Sambo Francesco, Fault detection in non-reporting Vehicle Tracking Units, in: 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, IEEE, 2019, pp. 2791 - 2796 (atti di: 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, Cordis Hotel, 83 Symonds St, Grafton, New Zealand, 2019) [Contribution to conference proceedings]

Ramirez, Pierluigi Zama; Tonioni, Alessio; Salti, Samuele; Stefano, Luigi Di, Learning Across Tasks and Domains, in: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), IEEE, 2019, pp. 8109 - 8118 (atti di: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, South Korea, 27 Oct.-2 Nov. 2019) [Contribution to conference proceedings]

Spezialetti, Riccardo; Salti, Samuele; Stefano, Luigi Di, Learning an Effective Equivariant 3D Descriptor Without Supervision, in: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, pp. 6400 - 6409 (atti di: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, South Korea, 27 Oct.-2 Nov. 2019) [Contribution to conference proceedings]

Spezialetti Riccardo; Salti Samuele; Di Stefano Luigi, Performance evaluation of learned 3D features, in: Image Analysis and Processing – ICIAP 2019, Springer Verlag, 2019, 11751, pp. 519 - 531 (atti di: 20th International Conference on Image Analysis and Processing, ICIAP 2019, Trento, Italia, 2019) [Contribution to conference proceedings]

Patent n. US10699137B2, Automatic collection and classification of harsh driving events in dashcam videos.

Taccari, Leonardo; Sambo, Francesco; Bravi, Luca; Salti, Samuele; Sarti, Leonardo; Simoncini, Matteo; Lori, Alessandro, Classification of Crash and Near-Crash Events from Dashcam Videos and Telematics, in: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, IEEE, 2018, 2018-, pp. 2460 - 2465 (atti di: 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, HI, USA, 2018) [Contribution to conference proceedings]

Patent n. US10417909, Identifying wrong-way travel events.

Patent n. US10839683B2, Identifying wrong-way travel events.

Tonioni, Alessio; Salti, Samuele; Tombari, Federico; Spezialetti, Riccardo; Luigi Di, Stefano, Learning to Detect Good 3D Keypoints, «INTERNATIONAL JOURNAL OF COMPUTER VISION», 2018, 126, pp. 1 - 20 [Scientific article]

Patent n. US10847036B2, Stop purpose classification for vehicle fleets.

Simoncini, Matteo; Taccari, Leonardo*; Sambo, Francesco; Bravi, Luca; Salti, Samuele; Lori, Alessandro, Vehicle classification from low-frequency GPS data with recurrent neural networks, «TRANSPORTATION RESEARCH. PART C, EMERGING TECHNOLOGIES», 2018, 91, pp. 176 - 191 [Scientific article]Open Access

Patent n. US10345449, Vehicle classification using a recurrent neural network (RNN).

Sambo, F; Salti, S; Bravi, L; Simoncini, M; Taccari, L; Lori, A, Integration of GPS and Satellite Images for Detection and Classification of Fleet Hotspots, in: PROCEEDINGS OF THE IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2017, pp. 1 - 6 (atti di: IEEE International Conference on Intelligent Transportation Systems, Yokohama, Japan, 16-19/10/2017) [Contribution to conference proceedings]

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