Luigi Di Stefano
Università degli Studi di Bologna
H-index: 49
Europe-Italy
Top articles of Luigi Di Stefano
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Connecting NeRFs, Images, and Text | arXiv preprint arXiv:2404.07993 | Francesco Ballerini Pierluigi Zama Ramirez Roberto Mirabella Samuele Salti Luigi Di Stefano | 2024/4/11 |
Test Time Training for Industrial Anomaly Segmentation | arXiv preprint arXiv:2404.03743 | Alex Costanzino Pierluigi Zama Ramirez Mirko Del Moro Agostino Aiezzo Giuseppe Lisanti | 2024/4/4 |
Deep learning on implicit neural representations of shapes | arXiv preprint arXiv:2302.05438 | Luca De Luigi Adriano Cardace Riccardo Spezialetti Pierluigi Zama Ramirez Samuele Salti | 2023/2/10 |
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping | arXiv preprint arXiv:2312.04521 | Alex Costanzino Pierluigi Zama Ramirez Giuseppe Lisanti Luigi Di Stefano | 2023/12/7 |
Relight my nerf: A dataset for novel view synthesis and relighting of real world objects | Marco Toschi Riccardo De Matteo Riccardo Spezialetti Daniele De Gregorio Luigi Di Stefano | 2023 | |
Booster Dataset-Monocular Split | Pierluigi Zama Ramirez Fabio Tosi Matteo Poggi Costanzino Alex Samuele Salti | 2023/1/31 | |
Booster: a benchmark for depth from images of specular and transparent surfaces | IEEE Transactions on Pattern Analysis and Machine Intelligence | Pierluigi Zama Ramirez Alex Costanzino Fabio Tosi Matteo Poggi Samuele Salti | 2023/10/11 |
Exploiting the complementarity of 2d and 3d networks to address domain-shift in 3d semantic segmentation | Adriano Cardace Pierluigi Zama Ramirez Samuele Salti Luigi Di Stefano | 2023 | |
Neural processing of tri-plane hybrid neural fields | arXiv preprint arXiv:2310.01140 | Adriano Cardace Pierluigi Zama Ramirez Francesco Ballerini Allan Zhou Samuele Salti | 2023/10/2 |
Learning good features to transfer across tasks and domains | IEEE Transactions on Pattern Analysis and Machine Intelligence | Pierluigi Zama Ramirez Adriano Cardace Luca De Luigi Alessio Tonioni Samuele Salti | 2023/1/27 |
Scannerf: a scalable benchmark for neural radiance fields | Luca De Luigi Damiano Bolognini Federico Domeniconi Daniele De Gregorio Matteo Poggi | 2023 | |
Looking at words and points with attention: a benchmark for text-to-shape coherence | arXiv preprint arXiv:2309.07917 | Andrea Amaduzzi Giuseppe Lisanti Samuele Salti Luigi Di Stefano | 2023/9/14 |
Learning Depth Estimation for Transparent and Mirror Surfaces | Alex Costanzino Pierluigi Zama Ramirez Matteo Poggi Fabio Tosi Stefano Mattoccia | 2023 | |
Self-distillation for unsupervised 3D domain adaptation | Adriano Cardace Riccardo Spezialetti Pierluigi Zama Ramirez Samuele Salti Luigi Di Stefano | 2023 | |
Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion | IEEE Access | Adriano Cardace Andrea Conti Pierluigi Zama Ramirez Riccardo Spezialetti Samuele Salti | 2023/8/11 |
NTIRE 2023 challenge on hr depth from images of specular and transparent surfaces | Pierluigi Zama Ramirez Fabio Tosi Luigi Di Stefano Radu Timofte Alex Costanzino | 2023 | |
Deep Learning on 3D Neural Fields | arXiv preprint arXiv:2312.13277 | Pierluigi Zama Ramirez Luca De Luigi Daniele Sirocchi Adriano Cardace Riccardo Spezialetti | 2023/12/20 |
Booster Dataset | Pierluigi Zama Ramirez Fabio Tosi Matteo Poggi Samuele Salti Stefano Mattoccia | 2022/5/31 | |
Shallow features guide unsupervised domain adaptation for semantic segmentation at class boundaries | Adriano Cardace Pierluigi Zama Ramirez Samuele Salti Luigi Di Stefano | 2022 | |
Cross-spectral neural radiance fields | Matteo Poggi Pierluigi Zama Ramirez Fabio Tosi Samuele Salti Stefano Mattoccia | 2022/9/12 |
Co-Authors
