Adriano Cardace

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

Deep Learning on 3D Neural Fields.

[BibT_eX]

[DOI]

CoRR, 2023

Neural Processing of Tri-Plane Hybrid 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

Permutation Equivariant Neural Functionals.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

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

2021

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

[BibT_eX]

[DOI]