Foto del docente

Samuele Salti

Associate Professor

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems

Publications

Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano;, Plugging Self-Supervised Monocular Depth Into Unsupervised Domain Adaptation for Semantic Segmentation, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE, 2022, pp. 1129 - 1139 (atti di: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawai, 3-8 Jan. 2022) [Contribution to conference proceedings]

Adriano Cardace; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano, Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries, in: 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE, 2022, pp. 1160 - 1170 (atti di: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawai, 4-8 Jan. 2022) [Contribution to conference proceedings]

Salti, Samuele; Lanza, Alessandro; Di Stefano, Luigi, Keypoint detection by wave propagation, «JOURNAL OF ELECTRONIC IMAGING», 2021, 30, Article number: 013003 , pp. 1 - 20 [Scientific article]Open Access

Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano, Neural Disparity Refinement for Arbitrary Resolution Stereo, in: 2021 International Conference on 3D Vision (3DV), IEEE, 2021, pp. 207 - 217 (atti di: 2021 International Conference on 3D Vision (3DV), London, United Kingdom, 1-3 Dec. 2021) [Contribution to conference proceedings]

Spezialetti, Riccardo; Salti, Samuele; Di Stefano, Luigi, Performance Evaluation of 3D Descriptors Paired with Learned Keypoint Detectors, «AI», 2021, 2, pp. 229 - 243 [Scientific article]

Adriano Cardace; Riccardo Spezialetti ; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano, RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation, in: 2021 International Conference on 3D Vision (3DV), IEEE, 2021, pp. 331 - 341 (atti di: 2021 International Conference on 3D Vision (3DV), London, United Kingdom, Dec. 1 2021 to Dec. 3 2021) [Contribution to conference proceedings]

Berardi G.; Salti S.; Di Stefano L., SketchyDepth: From Scene Sketches to RGB-D Images, in: Proceedings of the IEEE International Conference on Computer Vision, Institute of Electrical and Electronics Engineers Inc., 2021, 2021-, pp. 2414 - 2423 (atti di: 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Online, 2021) [Contribution to conference proceedings]

Marcon, Marlon; Spezialetti, Riccardo; Salti, Samuele; Silva, Luciano; Di Stefano, Luigi, Unsupervised Learning of Local Equivariant Descriptors for Point Clouds, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2021, PP, pp. 1 - 1 [Scientific article]

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: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, IEEE/CVF, 2020, pp. 4654 - 4665 (atti di: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Washington, USA, June 16-18, 2020, Seattle) [Contribution to conference proceedings]

Riccardo Spezialetti, Federico Stella, Marlon Marcon, Luciano Silva, Samuele Salti, Luigi Di Stefano, Learning to Orient Surfaces by Self-supervised Spherical CNNs, in: Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020, pp. 1 - 12 (atti di: Advances in Neural Information Processing Systems (NeurIPS 2020), Virtual Conference, 06-12 December 2020) [Contribution to conference proceedings]

Simoncini M.; De Andrade D.C.; Salti S.; Taccari L.; Schoen F.; Sambo F., Two-stream neural architecture for unsafe maneuvers classification from dashcam videos and GPS/IMU sensors, in: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020, Institute of Electrical and Electronics Engineers Inc., 2020, pp. 1 - 6 (atti di: 23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020, Rhodes, Greece, 20-23 Sept. 2020) [Contribution to conference proceedings]

Spezialetti, Riccardo; Salti, Samuele; Di Stefano, Luigi; Tombari, Federico, 3D Local Descriptors—from Handcrafted to Learned, in: 3D Imaging, Analysis and Applications, Cham, Springer, 2020, pp. 319 - 352 [Chapter or essay]

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]

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