Francesco Barbato — accepted AI-conference papers

2024

Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection

Francesco Barbato, Umberto Michieli, Jijoong Moon, Pietro Zanuttigh, Mete Ozay

IROS 2024poster

Recent years have seen object detection robotic systems deployed in several personal devices (e.g., home robots and appliances). This has highlighted a challenge in their design, i.e., they cannot efficiently update their knowledge to distinguish between general classes and user-specific instances (…

Cited by 3 Source ↗Scholar ↗

2023

DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-based Segmentation Networks

Francesco Barbato, Giulia Rizzoli, Pietro Zanuttigh

ICASSP 2023accepted

Most approaches for semantic segmentation use only information from color cameras to parse the scenes, yet recent advancements show that using depth data allows to further improve performances. In this work, we focus on transformer-based deep learning architectures, that have achieved state-of-the-a…

Cited by 0 Source ↗Scholar ↗