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2020 – today
- 2024
[j4]Pierluigi Zama Ramirez
, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano:
Deep Learning on Object-Centric 3D Neural Fields. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9940-9956 (2024)- 2023
- [j3]Adriano Cardace, Andrea Conti, Pierluigi Zama Ramirez, Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano:
Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion. IEEE Access 11: 85155-85164 (2023) - [c12]Marco Toschi, Riccardo De Matteo, Riccardo Spezialetti, Daniele De Gregorio, Luigi Di Stefano, Samuele Salti:
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects. CVPR 2023: 20762-20772 - [c11]Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Deep Learning on Implicit Neural Representations of Shapes. ICLR 2023 - [c10]Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Self-Distillation for Unsupervised 3D Domain Adaptation. WACV 2023: 4155-4166 - [i12]Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Deep Learning on Implicit Neural Representations of Shapes. CoRR abs/2302.05438 (2023) - [i11]Marco Toschi, Riccardo De Matteo, Riccardo Spezialetti, Daniele De Gregorio, Luigi Di Stefano, Samuele Salti:
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects. CoRR abs/2304.10448 (2023) - [i10]Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano:
Deep Learning on 3D Neural Fields. CoRR abs/2312.13277 (2023) - 2022
- [j2]Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi Di Stefano:
Unsupervised Learning of Local Equivariant Descriptors for Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9687-9702 (2022) - [i9]Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Self-Distillation for Unsupervised 3D Domain Adaptation. CoRR abs/2210.08226 (2022) - 2021
- [c9]Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation. 3DV 2021: 331-341 - [c8]Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari:
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction. 3DV 2021: 1249-1258 - [i8]Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari:
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction. CoRR abs/2106.03135 (2021) - [i7]Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation. CoRR abs/2110.11036 (2021) - 2020
- [b1]Riccardo Spezialetti:
Learning to understand the world in 3D. University of Bologna, Italy, 2020 - [c7]Riccardo Spezialetti, David Joseph Tan, Alessio Tonioni, Keisuke Tateno, Federico Tombari:
A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views. 3DV 2020: 160-170 - [c6]Riccardo Spezialetti, Federico Stella, Marlon Marcon, Luciano Silva, Samuele Salti, Luigi Di Stefano:
Learning to Orient Surfaces by Self-supervised Spherical CNNs. NeurIPS 2020 - [i6]Riccardo Spezialetti, Federico Stella, Marlon Marcon, Luciano Silva, Samuele Salti, Luigi Di Stefano:
Learning to Orient Surfaces by Self-supervised Spherical CNNs. CoRR abs/2011.03298 (2020) - [i5]Riccardo Spezialetti, David Joseph Tan, Alessio Tonioni, Keisuke Tateno, Federico Tombari:
A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views. CoRR abs/2011.08534 (2020)
2010 – 2019
- 2019
- [c5]Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi Di Stefano, Emanuele Rodolà:
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching. CVPR 2019: 4629-4638 - [c4]Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano:
Learning an Effective Equivariant 3D Descriptor Without Supervision. ICCV 2019: 6400-6409 - [c3]Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi Di Stefano:
Boosting Object Recognition in Point Clouds by Saliency Detection. ICIAP Workshops 2019: 321-331 - [c2]Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano:
Performance Evaluation of Learned 3D Features. ICIAP (1) 2019: 519-531 - [i4]Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano:
Performance Evaluation of Learned 3D Features. CoRR abs/1909.06884 (2019) - [i3]Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano:
Learning an Effective Equivariant 3D Descriptor Without Supervision. CoRR abs/1909.06887 (2019) - [i2]Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi Di Stefano:
Boosting Object Recognition in Point Clouds by Saliency Detection. CoRR abs/1911.02286 (2019) - 2018
- [j1]Alessio Tonioni, Samuele Salti, Federico Tombari, Riccardo Spezialetti, Luigi Di Stefano:
Learning to Detect Good 3D Keypoints. Int. J. Comput. Vis. 126(1): 1-20 (2018) - 2017
- [i1]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:
Inspiring Computer Vision System Solutions. CoRR abs/1707.07210 (2017) - 2015
- [c1]Samuele Salti, Federico Tombari, Riccardo Spezialetti, Luigi Di Stefano:
Learning a Descriptor-Specific 3D Keypoint Detector. ICCV 2015: 2318-2326
Coauthor Index
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