Learning a Descriptor-Specific 3D Keypoint Detector. - Samuele Salti; Federico Tombari; Riccardo Spezialetti; Luigi Di Stefano (ICCV, 2015)

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)

Learning to Detect Good 3D Keypoints. - Alessio Tonioni; Samuele Salti; Federico Tombari; Riccardo Spezialetti; Luigi Di Stefano (Int. J. Comput. Vis., 2018)

GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching. - Simone Melzi; Riccardo Spezialetti; Federico Tombari; Michael M. Bronstein; Luigi Di Stefano; Emanuele Rodolà (CVPR, 2019)

Learning an Effective Equivariant 3D Descriptor Without Supervision. - Riccardo Spezialetti; Samuele Salti; Luigi Di Stefano (ICCV, 2019)

Boosting Object Recognition in Point Clouds by Saliency Detection. - Marlon Marcon; Riccardo Spezialetti; Samuele Salti; Luciano Silva; Luigi Di Stefano (ICIAP Workshops, 2019)

Performance Evaluation of Learned 3D Features. - Riccardo Spezialetti; Samuele Salti; Luigi Di Stefano (ICIAP (1), 2019)

A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views. - Riccardo Spezialetti; David Joseph Tan; Alessio Tonioni; Keisuke Tateno; Federico Tombari (3DV, 2020)

Learning to Orient Surfaces by Self-supervised Spherical CNNs. - Riccardo Spezialetti; Federico Stella; Marlon Marcon; Luciano Silva; Samuele Salti; Luigi Di Stefano (NeurIPS, 2020)

Learning to understand the world in 3D. - Riccardo Spezialetti (2020)

RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation. - Adriano Cardace; Riccardo Spezialetti; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (3DV, 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 (3DV, 2021)

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)

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 (CVPR, 2023)

Deep Learning on Implicit Neural Representations of Shapes. - Luca De Luigi; Adriano Cardace; Riccardo Spezialetti; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (ICLR, 2023)

Self-Distillation for Unsupervised 3D Domain Adaptation. - Adriano Cardace; Riccardo Spezialetti; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (WACV, 2023)

Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion. - Adriano Cardace; Andrea Conti 002; Pierluigi Zama Ramirez; Riccardo Spezialetti; Samuele Salti; Luigi Di Stefano (IEEE Access, 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)

Deep Learning on Object-Centric 3D Neural Fields. - Pierluigi Zama Ramirez; Luca De Luigi; Daniele Sirocchi; Adriano Cardace; Riccardo Spezialetti; Francesco Ballerini; Samuele Salti; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2024)