Riccardo Spezialetti

Orcid: 0000-0001-9748-2824

According to our database1, Riccardo Spezialetti authored at least 19 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Deep Learning on Object-Centric 3D Neural Fields.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

2023
Deep Learning on 3D Neural Fields.
CoRR, 2023

Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion.
IEEE Access, 2023

Self-Distillation for Unsupervised 3D Domain Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Deep Learning on Implicit Neural Representations of Shapes.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Unsupervised Learning of Local Equivariant Descriptors for Point Clouds.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction.
Proceedings of the International Conference on 3D Vision, 2021

RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation.
Proceedings of the International Conference on 3D Vision, 2021

2020
Learning to understand the world in 3D.
PhD thesis, 2020

Learning to Orient Surfaces by Self-supervised Spherical CNNs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Performance Evaluation of Learned 3D Features.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Boosting Object Recognition in Point Clouds by Saliency Detection.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

Learning an Effective Equivariant 3D Descriptor Without Supervision.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Learning to Detect Good 3D Keypoints.
Int. J. Comput. Vis., 2018

2017
Inspiring Computer Vision System Solutions.
CoRR, 2017

2015
Learning a Descriptor-Specific 3D Keypoint Detector.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


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