Foto del docente

Samuele Salti

Professore associato

Dipartimento di Informatica - Scienza e Ingegneria

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

Pubblicazioni

Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano, Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2024, 46, pp. 85 - 102 [articolo]Open Access

Adriano Cardace; Andrea Conti; Pierluigi Zama Ramirez; Riccardo Spezialetti; Samuele Salti; Luigi Di Stefano, Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion, «IEEE ACCESS», 2023, 11, pp. 85155 - 85164 [articolo]Open Access

Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano, Deep Learning on Implicit Neural Representations of Shapes, in: The Eleventh International Conference on Learning Representations, 2023, pp. 1 - 39 (atti di: The Eleventh International Conference on Learning Representations, Kigali, Rwanda, 01/05/2023) [Contributo in Atti di convegno]

Minelli G.; Poggi M.; Salti S., Depth Self-Supervision for Single Image Novel View Synthesis, in: Proc. of 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, «PROCEEDINGS OF THE ... IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS», 2023, pp. 5836 - 5843 (atti di: International Conference on Intelligent Robots and Systems, Detroit, Michigan, USA, October 1 – 5, 2023) [Contributo in Atti di convegno]

Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano, Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation, in: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), New York, IEEE Computer Society, 2023, pp. 98 - 109 (atti di: IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, Canada, 18/06/2023) [Contributo in Atti di convegno]Open Access

Pierluigi Zama Ramirez; Adriano Cardace; Luca De Luigi; Alessio Tonioni; Samuele Salti; Luigi Di Stefano, Learning Good Features to Transfer Across Tasks and Domains, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2023, 45, pp. 9981 - 9995 [articolo]Open Access

Amaduzzi A.; Lisanti G.; Salti S.; Di Stefano L., Looking at words and points with attention: a benchmark for text-to-shape coherence, in: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops - ICCVW, 2023, pp. 2860 - 2869 (atti di: IEEE/CVF International Conference on Computer Vision Workshops, Francia, 2023) [Contributo in Atti di convegno]

Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Jun Shi, Dafeng Zhang, Yong A, Yixiang Jin, Dingzhe Li, Chao Li, Zhiwen Liu, Qi Zhang, Yixing Wang, Shi Yin, NTIRE 2023 Challenge on HR Depth From Images of Specular and Transparent Surfaces, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, pp. 1384 - 1395 (atti di: IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, Canada, 18/06/2023) [Contributo in Atti di convegno]

Toschi, Marco; De Matteo, Riccardo; Spezialetti, Riccardo; De Gregorio, Daniele; Di Stefano, Luigi; Salti, Samuele, ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects, in: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, IEEE COMPUTER SOC, «PROCEEDINGS IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION», 2023, pp. 20762 - 20772 (atti di: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, 17-24 June 2023) [Contributo in Atti di convegno]

Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano, Self-Distillation for Unsupervised 3D Domain Adaptation, in: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), New York, IEEE, 2023, pp. 4166 - 4177 (atti di: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawai, 3-7 Jan. 2023) [Contributo in Atti di convegno]Open Access

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: 2022 26th International Conference on Pattern Recognition (ICPR), New York, IEEE Computer Society, «PROCEEDINGS INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION», 2022, pp. 2482 - 2488 (atti di: IAPR INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, Montreal, Canada, 21-25 Agosto 2022) [Contributo in Atti di convegno]Open Access

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, 24, pp. 191 - 200 [articolo]Open Access

Ramirez, Pierluigi Zama; Tosi, Fabio; Poggi, Matteo; Salti, Samuele; Mattoccia, Stefano; Di Stefano, Luigi, Open Challenges in Deep Stereo: the Booster Dataset, in: 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 2022), New Orleans, LA, USA, 18-24 June 2022) [Contributo in Atti di convegno]Open Access

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: 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE, 2022, pp. 1999 - 2009 (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]Open Access

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