Luigi Di Stefano

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 40

Top Topics

Unsupervised Learning

Domain Adaptation

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano
Looking for Tiny Defects via Forward-Backward Feature Transfer. CoRR (2024)
Alex Costanzino, Pierluigi Zama Ramirez, Mirko Del Moro, Agostino Aiezzo, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano
Test Time Training for Industrial Anomaly Segmentation. CoRR (2024)
Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano
LLaNA: Large Language and NeRF Assistant. CoRR (2024)
Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano
Neural Processing of Tri-Plane Hybrid Neural Fields. ICLR (2024)
Stefano Mazzocchetti, Mirko Bevini, Giovanni Badiali, Giuseppe Lisanti, Luigi Di Stefano, Samuele Salti
Automatic Implant Generation for Cranioplasty via Occupancy Networks. IEEE Access 12 (2024)
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 Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Francesco Ballerini, Pierluigi Zama Ramirez, Roberto Mirabella, Samuele Salti, Luigi Di Stefano
Connecting NeRFs, Images, and Text. CoRR (2024)
Pierluigi Zama Ramirez, Adriano Cardace, Luca De Luigi, Alessio Tonioni, Samuele Salti, Luigi Di Stefano
Learning Good Features to Transfer Across Tasks and Domains. CoRR (2023)
Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano
Neural Processing of Tri-Plane Hybrid Neural Fields. CoRR (2023)
Andrea Amaduzzi, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano
Looking at words and points with attention: a benchmark for text-to-shape coherence. CoRR (2023)
Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields. WACV (2023)
Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
Deep Learning on Implicit Neural Representations of Shapes. ICLR (2023)
Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano
Deep Learning on 3D Neural Fields. CoRR (2023)
Marco Toschi, Riccardo De Matteo, Riccardo Spezialetti, Daniele De Gregorio, Luigi Di Stefano, Samuele Salti
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects. CVPR (2023)
Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
Deep Learning on Implicit Neural Representations of Shapes. CoRR (2023)
Andrea Amaduzzi, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano
Looking at words and points with attention: a benchmark for text-to-shape coherence. ICCV (Workshops) (2023)
Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping. CoRR (2023)
Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
Learning Depth Estimation for Transparent and Mirror Surfaces. ICCV (2023)
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 11 (2023)
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
Self-Distillation for Unsupervised 3D Domain Adaptation. WACV (2023)
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. CoRR (2023)
Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
Learning Depth Estimation for Transparent and Mirror Surfaces. CoRR (2023)
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. CVPR Workshops (2023)
Marco Toschi, Riccardo De Matteo, Riccardo Spezialetti, Daniele De Gregorio, Luigi Di Stefano, Samuele Salti
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects. CoRR (2023)
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. CoRR (2023)
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 Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
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. CVPR Workshops (2023)
Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. CoRR (2022)
Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
Open Challenges in Deep Stereo: the Booster Dataset. CoRR (2022)
Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
Continual Adaptation for Deep Stereo. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. CVPR (2022)
Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
Open Challenges in Deep Stereo: the Booster Dataset. CVPR (2022)
Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields. CoRR (2022)
Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi Di Stefano
Unsupervised Learning of Local Equivariant Descriptors for Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
Cross-Spectral Neural Radiance Fields. 3DV (2022)
Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
Cross-Spectral Neural Radiance Fields. CoRR (2022)
Yong Dai, Weiwei Song, Yi Li, Luigi Di Stefano
Feature disentangling and reciprocal learning with label-guided similarity for multi-label image retrieval. Neurocomputing 511 (2022)
Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano
Learning the Space of Deep Models. ICPR (2022)
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
Self-Distillation for Unsupervised 3D Domain Adaptation. CoRR (2022)
Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano
Learning the Space of Deep Models. CoRR (2022)