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Samuele Salti

Professore associato

Dipartimento di Informatica - Scienza e Ingegneria

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

Pubblicazioni

Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano, Cross-Spectral Neural Radiance Fields, in: Proceedings of the International Conference on 3D Vision (3DV), 2022, pp. 1 - 8 (atti di: International Conference on 3D Vision (3DV), Praga, Repubblica Ceca, 12 settembre 2022) [Contributo in Atti di convegno]

Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano, Learning the Space of Deep Models, in: Proceedings of the International Conference on Pattern Recognition, «PROCEEDINGS INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION», 2022, pp. 1 - 7 (atti di: IAPR INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, Montreal, Canada, 21-25 Agosto 2022) [Contributo in Atti di convegno]

Magistri, Simone; Boschi, Marco; Sambo, Francesco; de Andrade, Douglas Coimbra; Simoncini, Matteo; Kubin, Luca; Taccari, Leonardo; Luigi, Luca De; Salti, Samuele, Lightweight and Effective Convolutional Neural Networks for Vehicle Viewpoint Estimation From Monocular Images, «IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS», 2022, N/A, pp. 1 - 10 [articolo]

Ramirez, Pierluigi Zama; Tosi, Fabio; Poggi, Matteo; Salti, Samuele; Mattoccia, Stefano; Di Stefano, Luigi, Open Challenges in Deep Stereo: the Booster Dataset, in: Proceedings of the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, «PROCEEDINGS IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION», 2022, pp. 21136 - 21146 (atti di: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 18-24 June 2022) [Contributo in Atti di convegno]

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) [Contributo in Atti di convegno]

Tosi, Fabio; Ramirez, Pierluigi Zama; Poggi, Matteo; Salti, Samuele; Mattoccia, Stefano; Di Stefano, Luigi, RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation, in: Proceedings of the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), «PROCEEDINGS IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION», 2022, pp. 15937 - 15947 (atti di: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 18-24 June 2022) [Contributo in Atti di convegno]

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) [Contributo in Atti di convegno]

Simoncini M.; de Andrade D.C.; Taccari L.; Salti S.; Kubin L.; Schoen F.; Sambo F., Unsafe Maneuver Classification From Dashcam Video and GPS/IMU Sensors Using Spatio-Temporal Attention Selector, «IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS», 2022, 23, pp. 15605 - 15615 [articolo]

Salti, Samuele; Lanza, Alessandro; Di Stefano, Luigi, Keypoint detection by wave propagation, «JOURNAL OF ELECTRONIC IMAGING», 2021, 30, Article number: 013003, pp. 1 - 20 [articolo]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) [Contributo in Atti di convegno]

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

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) [Contributo in Atti di convegno]

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., «PROCEEDINGS IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION», 2021, 2021-, pp. 2414 - 2423 (atti di: 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Online, 2021) [Contributo in Atti di convegno]

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 [articolo]

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) [Contributo in Atti di convegno]

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