Riccardo Spezialetti

29 papers A* 6A 1Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Deep Learning on Object-Centric 3D Neural Fields.
IEEE Trans. Pattern Anal. Mach. Intell.
Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano
2023 J jnl
Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion.
IEEE Access
Adriano Cardace, Andrea Conti, Pierluigi Zama Ramirez, Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano
2023 J jnl
Deep Learning on 3D Neural Fields.
CoRR
Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano
2023 A* conf
Deep Learning on Implicit Neural Representations of Shapes.
ICLR
Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2023 J jnl
Deep Learning on Implicit Neural Representations of Shapes.
CoRR
Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2023 A* conf
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects.
CVPR
Marco Toschi, Riccardo De Matteo, Riccardo Spezialetti, Daniele De Gregorio, Luigi Di Stefano, Samuele Salti
2023 J jnl
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects.
CoRR
Marco Toschi, Riccardo De Matteo, Riccardo Spezialetti, Daniele De Gregorio, Luigi Di Stefano, Samuele Salti
2023 A conf
Self-Distillation for Unsupervised 3D Domain Adaptation.
WACV
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2022 J jnl
Self-Distillation for Unsupervised 3D Domain Adaptation.
CoRR
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2022 J jnl
Unsupervised Learning of Local Equivariant Descriptors for Point Clouds.
IEEE Trans. Pattern Anal. Mach. Intell.
Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi Di Stefano
2021 — conf
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction.
3DV
Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari
2021 J jnl
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction.
CoRR
Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari
2021 — conf
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation.
3DV
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2021 J jnl
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation.
CoRR
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2020 — conf
A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views.
3DV
Riccardo Spezialetti, David Joseph Tan, Alessio Tonioni, Keisuke Tateno, Federico Tombari
2020 J jnl
A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views.
CoRR
Riccardo Spezialetti, David Joseph Tan, Alessio Tonioni, Keisuke Tateno, Federico Tombari
2020 A* conf
Learning to Orient Surfaces by Self-supervised Spherical CNNs.
NeurIPS
Riccardo Spezialetti, Federico Stella, Marlon Marcon, Luciano Silva, Samuele Salti, Luigi Di Stefano
2020 J jnl
Learning to Orient Surfaces by Self-supervised Spherical CNNs.
CoRR
Riccardo Spezialetti, Federico Stella, Marlon Marcon, Luciano Silva, Samuele Salti, Luigi Di Stefano
2020 — —
Learning to understand the world in 3D.
Riccardo Spezialetti
2019 — conf
Boosting Object Recognition in Point Clouds by Saliency Detection.
ICIAP Workshops
Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi Di Stefano
2019 J jnl
Boosting Object Recognition in Point Clouds by Saliency Detection.
CoRR
Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi Di Stefano
2019 A* conf
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching.
CVPR
Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi Di Stefano, Emanuele Rodolà
2019 A* conf
Learning an Effective Equivariant 3D Descriptor Without Supervision.
ICCV
Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano
2019 J jnl
Learning an Effective Equivariant 3D Descriptor Without Supervision.
CoRR
Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano
2019 — conf
Performance Evaluation of Learned 3D Features.
ICIAP (1)
Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano
2019 J jnl
Performance Evaluation of Learned 3D Features.
CoRR
Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano
2018 J jnl
Learning to Detect Good 3D Keypoints.
Int. J. Comput. Vis.
Alessio Tonioni, Samuele Salti, Federico Tombari, Riccardo Spezialetti, Luigi Di Stefano
2017 J jnl
Inspiring Computer Vision System Solutions.
CoRR
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
2015 A* conf
Learning a Descriptor-Specific 3D Keypoint Detector.
ICCV
Samuele Salti, Federico Tombari, Riccardo Spezialetti, Luigi Di Stefano