Foto del docente

Luigi Di Stefano

Professore ordinario

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: IINF-05/A Sistemi di elaborazione delle informazioni

Pubblicazioni

Costanzino, Alex; ZAMA RAMIREZ, Pierluigi; Lisanti, Giuseppe; DI STEFANO, Luigi, Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping, in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), «PROCEEDINGS IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION», 2024, pp. 17234 - 17243 (atti di: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle WA, USA, 16-22 June 2024) [Contributo in Atti di convegno]Open Access

Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano, Neural Disparity Refinement, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2024, Early access, pp. 1 - 18 [articolo]

Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano, Neural Processing of Tri-Plane Hybrid Neural Fields, in: The Twelfth International Conference on Learning Representations, Appleton, ICLR, 2024, pp. 1 - 27 (atti di: The Twelfth International Conference on Learning Representations (ICLR 2024), Vienna, Austria, 07/05/2024) [Contributo in Atti di convegno]Open Access

Mazzocchetti S.; Spezialetti R.; Bevini M.; Badiali G.; Lisanti G.; Salti S.; Di Stefano L., Neural shape completion for personalized Maxillofacial surgery, «SCIENTIFIC REPORTS», 2024, 14, Article number: 19810, pp. 1 - 11 [articolo]Open Access

Zama Ramirez P.; Tosi F.; Di Stefano L.; Timofte R.; Costanzino A.; Poggi M.; Salti S.; Mattoccia S.; Zhang Y.; Wu C.; He Z.; Yin S.; Dong J.; Liu Y.; Jiang H.; Shi J.; Yong A.; Jin Y.; Li D.; Ke B.; Obukhov A.; Wang T.; Metzger N.; Huang S.; Schindler K.; Huang Y.; Li J.; Zhang J.; Wang Y.; Huang Z.; Liu T.; Cao Z.; Li P.; Wang J.-L.; Zhu W.; Geng H.; Zhang Y.; Lan L.; Xu K.; Sun T.; Xu Q.; Saini S.; Gupta A.; Mistry S.K.; Shukla A.; Jakhetiya V.; Jaiswal S.; Sun Y.; Zheng Z.; Ning Y.; Cheng J.-H.; Liu H.-I.; Huang H.-W.; Yang C.-Y.; Jiang Z.; Peng Y.-H.; Huang A.; Hwang J.-N., NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, «IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS», 2024, 33, pp. 6499 - 6512 (atti di: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA, 17-18 June 2024) [Contributo in Atti di convegno]

Costanzino A.; Zama Ramirez P.; Del Moro M.; Aiezzo A.; Lisanti G.; Salti S.; Di Stefano L., Test Time Training for Industrial Anomaly Segmentation, in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), «IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS», 2024, 35, pp. 3910 - 3920 (atti di: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA, 17-18 June 2024) [Contributo in Atti di convegno]

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, Appleton, ICLR, 2023, 2023, pp. 1 - 39 (atti di: The Eleventh International Conference on Learning Representations, Kigali, Rwanda, 01/05/2023) [Contributo in Atti di convegno]Open Access

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

Costanzino, Alex; ZAMA RAMIREZ, Pierluigi; Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano; DI STEFANO, Luigi, Learning Depth Estimation for Transparent and Mirror Surfaces, in: 2023 IEEE/CVF International Conference on Computer Vision (ICCV), New York, IEEE, «PROCEEDINGS IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION», 2023, pp. 9210 - 9221 (atti di: IEEE/CVF International Conference on Computer Vision (ICCV), Parigi, Francia, 02/10/2023) [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, «... IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS», 2023, pp. 2860 - 2869 (atti di: IEEE/CVF International Conference on Computer Vision Workshops, Paris, France, 02-06 October 2023) [Contributo in Atti di convegno]Open Access

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, «IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS», 2023, pp. 1384 - 1395 (atti di: IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, Canada, 17-24 June 2023) [Contributo in Atti di convegno]Open Access

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]Open Access

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) [Contributo in Atti di convegno]Open Access