Riccardo Spezialetti

According to our database, Riccardo Spezialetti authored at least 18 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep Learning on 3D Neural Fields.

Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano

CoRR, 2023

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

IEEE Access, 2023

Self-Distillation for Unsupervised 3D Domain Adaptation.

Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano

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

Deep Learning on Implicit Neural Representations of Shapes.

Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano

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.

Marco Toschi, Riccardo De Matteo, Riccardo Spezialetti, Daniele De Gregorio, Luigi Di Stefano, Samuele Salti

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

2022

Unsupervised Learning of Local Equivariant Descriptors for Point Clouds.

Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi Di Stefano

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction.

Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari

Proceedings of the International Conference on 3D Vision, 2021

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

Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano

Proceedings of the International Conference on 3D Vision, 2021

2020

Learning to understand the world in 3D.

Riccardo Spezialetti

PhD thesis, 2020

Learning to Orient Surfaces by Self-supervised Spherical CNNs.

Riccardo Spezialetti, Federico Stella, Marlon Marcon, Luciano Silva, Samuele Salti, Luigi Di Stefano

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.

Riccardo Spezialetti, David Joseph Tan, Alessio Tonioni, Keisuke Tateno, Federico Tombari

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Performance Evaluation of Learned 3D Features.

Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Boosting Object Recognition in Point Clouds by Saliency Detection.

Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi Di Stefano

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

Learning an Effective Equivariant 3D Descriptor Without Supervision.

Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano

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

GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching.

Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi Di Stefano, Emanuele Rodolà

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning to Detect Good 3D Keypoints.

Alessio Tonioni, Samuele Salti, Federico Tombari, Riccardo Spezialetti, Luigi Di Stefano

Int. J. Comput. Vis., 2018

2017

Inspiring Computer Vision System Solutions.

Julian G. Zilly, Amit Boyarski, Micael Carvalho, Amir Atapour Abarghouei, Konstantinos Amplianitis, Aleksandr Krasnov, Massimiliano Mancini, Hernán Gonzalez, Riccardo Spezialetti, Carlos Sampedro Pérez, Hao Li

CoRR, 2017

2015

Learning a Descriptor-Specific 3D Keypoint Detector.

Samuele Salti, Federico Tombari, Riccardo Spezialetti, Luigi Di Stefano

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015