DI STEFANO, LUIGI
DI STEFANO, LUIGI
DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
Docenti di ruolo di Ia fascia
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
In corso di stampa Alex Costanzino; Pierluigi Zama Ramirez; Giuseppe Lisanti; Luigi Di Stefano
Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces
2024 Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
Neural Processing of Tri-Plane Hybrid Neural Fields
2024 Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano
Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion
2023 Adriano Cardace; Andrea Conti; Pierluigi Zama Ramirez; Riccardo Spezialetti; Samuele Salti; Luigi Di Stefano
Deep Learning on Implicit Neural Representations of Shapes
2023 Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation
2023 Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
Learning Depth Estimation for Transparent and Mirror Surfaces
2023 Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano
Learning Good Features to Transfer Across Tasks and Domains
2023 Pierluigi Zama Ramirez; Adriano Cardace; Luca De Luigi; Alessio Tonioni; Samuele Salti; Luigi Di Stefano
Looking at words and points with attention: a benchmark for text-to-shape coherence
2023 Amaduzzi A.; Lisanti G.; Salti S.; Di Stefano L.
NTIRE 2023 Challenge on HR Depth From Images of Specular and Transparent Surfaces
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
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects
2023 Toschi, Marco; De Matteo, Riccardo; Spezialetti, Riccardo; De Gregorio, Daniele; Di Stefano, Luigi; Salti, Samuele
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields
2023 Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano
Self-Distillation for Unsupervised 3D Domain Adaptation
2023 Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
Continual Adaptation for Deep Stereo
2022 Poggi, Matteo; Tonioni, Alessio; Tosi, Fabio; Mattoccia, Stefano; Di Stefano, Luigi
Cross-Spectral Neural Radiance Fields
2022 Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
Feature disentangling and reciprocal learning with label-guided similarity for multi-label image retrieval
2022 Dai Y.; Song W.; Li Y.; Luigi Di Stefano
Learning the Space of Deep Models
2022 Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano
Open Challenges in Deep Stereo: the Booster Dataset
2022 Ramirez, Pierluigi Zama; Tosi, Fabio; Poggi, Matteo; Salti, Samuele; Mattoccia, Stefano; Di Stefano, Luigi
Plugging Self-Supervised Monocular Depth Into Unsupervised Domain Adaptation for Semantic Segmentation
2022 Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano;
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation
2022 Tosi, Fabio; Ramirez, Pierluigi Zama; Poggi, Matteo; Salti, Samuele; Mattoccia, Stefano; Di Stefano, Luigi
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping | Alex Costanzino; Pierluigi Zama Ramirez; Giuseppe Lisanti; Luigi Di Stefano | 9999-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces | Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattocc...ia, Luigi Di Stefano | 2024-01-01 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | - | 1.01 Articolo in rivista | Booster_A_Benchmark_for_Depth_From_Images_of_Specular_and_Transparent_Surfaces.pdf |
| Neural Processing of Tri-Plane Hybrid Neural Fields | Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di... Stefano | 2024-01-01 | - | ICLR | 4.01 Contributo in Atti di convegno | 77_neural_processing_of_tri_plane_compressed.pdf |
| Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion | Adriano Cardace; Andrea Conti; Pierluigi Zama Ramirez; Riccardo Spezialetti; Samuele Salti; Luigi... Di Stefano | 2023-01-01 | IEEE ACCESS | - | 1.01 Articolo in rivista | Boosting_Multi-Modal_Unsupervised_Domain_Adaptation_for_LiDAR_Semantic_Segmentation_by_Self-Supervised_Depth_Completion.pdf |
| Deep Learning on Implicit Neural Representations of Shapes | Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luig...i di Stefano | 2023-01-01 | - | ICLR | 4.01 Contributo in Atti di convegno | 1727_deep_learning_on_implicit_neur_compressed.pdf |
| 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 | 2023-01-01 | - | IEEE Computer Society | 4.01 Contributo in Atti di convegno | Cardace_Exploiting_the_Complementarity_of_2D_and_3D_Networks_To_Address_CVPRW_2023_paper.pdf |
| Learning Depth Estimation for Transparent and Mirror Surfaces | Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di St...efano | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | Costanzino_Learning_Depth_Estimation_for_Transparent_and_Mirror_Surfaces_ICCV_2023_paper_compressed.pdf |
| Learning Good Features to Transfer Across Tasks and Domains | Pierluigi Zama Ramirez; Adriano Cardace; Luca De Luigi; Alessio Tonioni; Samuele Salti; Luigi Di ...Stefano | 2023-01-01 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | - | 1.01 Articolo in rivista | 2301.11310.pdf |
| Looking at words and points with attention: a benchmark for text-to-shape coherence | Amaduzzi A.; Lisanti G.; Salti S.; Di Stefano L. | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | 23_ICCVW_Looking_at_Words_and_Points_with_Attention_a_Benchmark_for.pdf |
| 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, 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 | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | Ramirez_NTIRE_2023_Challenge_on_HR_Depth_From_Images_of_Specular_CVPRW_2023_paper.pdf |
| ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects | Toschi, Marco; De Matteo, Riccardo; Spezialetti, Riccardo; De Gregorio, Daniele; Di Stefano, Luig...i; Salti, Samuele | 2023-01-01 | - | IEEE COMPUTER SOC | 4.01 Contributo in Atti di convegno | 23_CVPR_Relight_my_NeRF_postprint.pdf |
| ScanNeRF: a Scalable Benchmark for Neural Radiance Fields | Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi D...i Stefano | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | scannerf post print.pdf |
| Self-Distillation for Unsupervised 3D Domain Adaptation | Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | Cardace_Self-Distillation_for_Unsupervised_3D_Domain_Adaptation_WACV_2023_paper.pdf |
| Continual Adaptation for Deep Stereo | Poggi, Matteo; Tonioni, Alessio; Tosi, Fabio; Mattoccia, Stefano; Di Stefano, Luigi | 2022-01-01 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | - | 1.01 Articolo in rivista | 2007.05233.pdf |
| Cross-Spectral Neural Radiance Fields | Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Feature disentangling and reciprocal learning with label-guided similarity for multi-label image retrieval | Dai Y.; Song W.; Li Y.; Luigi Di Stefano | 2022-01-01 | NEUROCOMPUTING | - | 1.01 Articolo in rivista | - |
| Learning the Space of Deep Models | Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano | 2022-01-01 | - | IEEE Computer Society | 4.01 Contributo in Atti di convegno | paper.pdf; supplementary.pdf |
| Open Challenges in Deep Stereo: the Booster Dataset | Ramirez, Pierluigi Zama; Tosi, Fabio; Poggi, Matteo; Salti, Samuele; Mattoccia, Stefano; Di Stefa...no, Luigi | 2022-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | 22_CVPR_Ramirez_Open_Challenges_in_Deep_Stereo_The_Booster_Dataset.pdf |
| Plugging Self-Supervised Monocular Depth Into Unsupervised Domain Adaptation for Semantic Segmentation | Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano; | 2022-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | main.pdf |
| RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation | Tosi, Fabio; Ramirez, Pierluigi Zama; Poggi, Matteo; Salti, Samuele; Mattoccia, Stefano; Di Stefa...no, Luigi | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | 22_CVPR_Tosi_RGB-Multispectral_Matching_Dataset_Learning_Methodology_Evaluation.pdf |