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)

Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation. - Adriano Cardace; Luca De Luigi; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (WACV, 2022)

Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries. - Adriano Cardace; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (WACV, 2022)

Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation. - Adriano Cardace; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano (CVPR Workshops, 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)

Permutation Equivariant Neural Functionals. - Allan Zhou; Kaien Yang; Kaylee Burns; Adriano Cardace; Yiding Jiang; Samuel Sokota; J. Zico Kolter; Chelsea Finn (NeurIPS, 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)

Learning Good Features to Transfer Across Tasks and Domains. - Pierluigi Zama Ramirez; Adriano Cardace; Luca De Luigi; Alessio Tonioni; Samuele Salti; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MMVR: Millimeter-Wave Multi-view Radar Dataset and Benchmark for Indoor Perception. - Mohammad Mahbubur Rahman; Ryoma Yataka; Sorachi Kato; Pu Wang 004; Peizhao Li; Adriano Cardace; Petros Boufounos (ECCV (79), 2024)

Neural Processing of Tri-Plane Hybrid Neural Fields. - Adriano Cardace; Pierluigi Zama Ramirez; Francesco Ballerini; Allan Zhou; Samuele Salti; Luigi Di Stefano (ICLR, 2024)

RETR: Multi-View Radar Detection Transformer for Indoor Perception. - Ryoma Yataka; Adriano Cardace; Perry Wang 004; Petros Boufounos; Ryuhei Takahashi (NeurIPS, 2024)

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)