Foto del docente

Luigi Di Stefano

Full Professor

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems

Publications

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 [Scientific article]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 [Scientific article]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) [Contribution to conference proceedings]

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: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023, pp. 98 - 109 (atti di: IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, Canada, 18/06/2023) [Contribution to conference proceedings]

Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano, Learning Depth Estimation for Transparent and Mirror Surfaces, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023, pp. 9244 - 9255 (atti di: IEEE/CVF International Conference on Computer Vision (ICCV), Parigi, Francia, 02/10/2023) [Contribution to conference proceedings]

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 [Scientific article]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) [Contribution to conference proceedings]

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) [Contribution to conference proceedings]

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, 2023, pp. 20762 - 20772 (atti di: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, 17-24 June 2023) [Contribution to conference proceedings]

Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano, ScanNeRF: a Scalable Benchmark for Neural Radiance Fields, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023, pp. 1 - 8 (atti di: IEEE/CVF Winter Conference on Applications of Computer Vision, Hawaii, 3 Gennaio 2023) [Contribution to conference proceedings]Open Access

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) [Contribution to conference proceedings]Open Access

Poggi, Matteo; Tonioni, Alessio; Tosi, Fabio; Mattoccia, Stefano; Di Stefano, Luigi, Continual Adaptation for Deep Stereo, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2022, 44, pp. 4713 - 4729 [Scientific article]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) [Contribution to conference proceedings]

Dai Y.; Song W.; Li Y.; Luigi Di Stefano, Feature disentangling and reciprocal learning with label-guided similarity for multi-label image retrieval, «NEUROCOMPUTING», 2022, 511, pp. 353 - 365 [Scientific article]

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, 2022, pp. 2482 - 2488 (atti di: IAPR INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, Montreal, Canada, 21-25 Agosto 2022) [Contribution to conference proceedings]Open Access