Pierluigi Zama Ramirez

Filippo Aleotti

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Deep Learning on Object-Centric 3D Neural Fields.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Looking for Tiny Defects via Forward-Backward Feature Transfer.

[BibT_eX]

[DOI]

Giuseppe Lisanti

CoRR, 2024

LLaNA: Large Language and NeRF Assistant.

[BibT_eX]

[DOI]

Andrea Amaduzzi

Giuseppe Lisanti

CoRR, 2024

Neural Processing of Tri-Plane Hybrid Neural Fields.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions.

[BibT_eX]

[DOI]

Matteo Poggi

Proceedings of the Computer Vision - ECCV 2024, 2024

NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Test Time Training for Industrial Anomaly Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping.

[BibT_eX]

[DOI]

Giuseppe Lisanti

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Connecting NeRFs, Images, and Text.

[BibT_eX]

[DOI]

Francesco Ballerini

Roberto Mirabella

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Learning Good Features to Transfer Across Tasks and Domains.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Deep Learning on 3D Neural Fields.

[BibT_eX]

[DOI]

CoRR, 2023

Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion.

[BibT_eX]

[DOI]

Andrea Conti

IEEE Access, 2023

Self-Distillation for Unsupervised 3D Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Deep Learning on Implicit Neural Representations of Shapes.

[BibT_eX]

[DOI]

Luca De Luigi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Depth Estimation for Transparent and Mirror Surfaces.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation.

[BibT_eX]

[DOI]

Luca De Luigi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Open Challenges in Deep Stereo: the Booster Dataset.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-Spectral Neural Radiance Fields.

[BibT_eX]

[DOI]

Matteo Poggi

Proceedings of the International Conference on 3D Vision, 2022

2021

Deep Scene Understanding with Limited Training Data.

[BibT_eX]

[DOI]

PhD thesis, 2021

Unsupervised Novel View Synthesis from a Single Image.

[BibT_eX]

[DOI]

Alessio Tonioni

Federico Tombari

CoRR, 2021

Beyond the Baseline: 3D Reconstruction of Tiny Objects With Single Camera Stereo Robot.

[BibT_eX]

[DOI]

Daniele De Gregorio

Matteo Poggi

Gianluca Palli

Stefano Mattoccia

IEEE Access, 2021

RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2021

Neural Disparity Refinement for Arbitrary Resolution Stereo.

[BibT_eX]

[DOI]

Filippo Aleotti

Proceedings of the International Conference on 3D Vision, 2021

2020

Distilled Semantics for Comprehensive Scene Understanding from Videos.

[BibT_eX]

[DOI]

Filippo Aleotti

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Shooting Labels: 3D Semantic Labeling by Virtual Reality.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2020

2019

Shooting Labels: 3D Semantic Labeling by Virtual Reality.

[BibT_eX]

[DOI]

Claudio Paternesi

Daniele De Gregorio

CoRR, 2019

Learning Across Tasks and Domains.

[BibT_eX]

[DOI]

Alessio Tonioni

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Exploiting semantics in adversarial training for image-level domain adaptation.

[BibT_eX]

[DOI]

Alessio Tonioni

Proceedings of the IEEE International Conference on Image Processing, 2018

Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation.

[BibT_eX]

[DOI]