Mazzocchetti S.; Bevini M.; Badiali G.; Lisanti G.; Di Stefano L.; Salti S., Automatic Implant Generation for Cranioplasty via Occupancy Networks, «IEEE ACCESS», 2024, 12, pp. 95185 - 95195 [articolo]Open Access
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
Ballerini F.; Zama Ramirez P.; Mirabella R.; Salti S.; Di Stefano L., Connecting NeRFs, Images, and Text, in: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, «IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS», 2024, 34, pp. 866 - 876 (atti di: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, Seattle, WA, USA, 17-18 June 2024) [Contributo in Atti di convegno]
Zama Ramirez P.; De Luigi L.; Sirocchi D.; Cardace A.; Spezialetti R.; Ballerini F.; Salti S.; Di Stefano L., Deep Learning on Object-centric 3D Neural Fields, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2024, Early Access, pp. 1 - 17 [articolo]
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
Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano, Learning Depth Estimation for Transparent and Mirror Surfaces, in: 2023 IEEE/CVF International Conference on Computer Vision (ICCV), New York, IEEE, 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
