HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Pose Dataset with Household Objects in Realistic Scenarios. - HyunJun Jung; Shun-Cheng Wu; Patrick Ruhkamp; Hannah Schieber; Pengyuan Wang 002; Giulia Rizzoli; Hongcheng Zhao; Sven Meier; Daniel Roth 001; Nassir Navab; Benjamin Busam (CoRR, 2022)

DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-based Segmentation Networks. - Francesco Barbato; Giulia Rizzoli; Pietro Zanuttigh (ICASSP, 2023)

SynDrone - Multi-modal UAV Dataset for Urban Scenarios. - Giulia Rizzoli; Francesco Barbato; Matteo Caligiuri; Pietro Zanuttigh (ICCV (Workshops), 2023)

Federated Learning in Computer Vision. - Donald Shenaj; Giulia Rizzoli; Pietro Zanuttigh (IEEE Access, 2023)

RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation. - Chang Liu 047; Giulia Rizzoli; Francesco Barbato; Umberto Michieli; Yi Niu; Pietro Zanuttigh (CoRR, 2023)

HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios. - HyunJun Jung; Shun-Cheng Wu; Patrick Ruhkamp; Guangyao Zhai; Hannah Schieber; Giulia Rizzoli; Pengyuan Wang 002; Hongcheng Zhao; Lorenzo Garattoni; Daniel Roth 001; Sven Meier; Nassir Navab; et al. (CVPR, 2024)

Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation. - Chang Liu 047; Giulia Rizzoli; Pietro Zanuttigh; Fu Li 002; Yi Niu (ECCV (17), 2024)

Source-Free Domain Adaptation for RGB-D Semantic Segmentation with Vision Transformers. - Giulia Rizzoli; Donald Shenaj; Pietro Zanuttigh (WACV (Workshops), 2024)

When Cars Meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather. - Giulia Rizzoli; Matteo Caligiuri; Donald Shenaj; Francesco Barbato; Pietro Zanuttigh (WACV, 2025)

From Open-Vocabulary to Vocabulary-Free Semantic Segmentation. - Klara Reichard; Giulia Rizzoli; Stefano Gasperini; Lukas Hoyer; Pietro Zanuttigh; Nassir Navab; Federico Tombari (CoRR, 2025)