Estimation of traffic matrices via super-resolution and federated learning. - Roberto Amoroso; Flavio Esposito; Maria Luisa Merani (CoNEXT, 2020)

Assessing the Role of Boundary-Level Objectives in Indoor Semantic Segmentation. - Roberto Amoroso; Lorenzo Baraldi 001; Rita Cucchiara (CAIP (1), 2021)

Improving Indoor Semantic Segmentation with Boundary-Level Objectives. - Roberto Amoroso; Lorenzo Baraldi 001; Rita Cucchiara (IWANN (2), 2021)

Investigating Bidimensional Downsampling in Vision Transformer Models. - Paolo Bruno; Roberto Amoroso; Marcella Cornia; Silvia Cascianelli; Lorenzo Baraldi 001; Rita Cucchiara (ICIAP (2), 2022)

Superpixel Positional Encoding to Improve ViT-based Semantic Segmentation Models. - Roberto Amoroso; Matteo Tomei; Lorenzo Baraldi 001; Rita Cucchiara (BMVC, 2023)

A Federated Learning Approach to Traffic Matrix Estimation using Super-resolution Techniques. - Roberto Amoroso; Lorenzo Pappone; Flavio Esposito (CCNC, 2023)

Enhancing Open-Vocabulary Semantic Segmentation with Prototype Retrieval. - Luca Barsellotti; Roberto Amoroso; Lorenzo Baraldi 001; Rita Cucchiara (ICIAP (2), 2023)

Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation. - Luca Barsellotti; Roberto Amoroso; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CVPR, 2024)

FOSSIL: Free Open-Vocabulary Semantic Segmentation through Synthetic References Retrieval. - Luca Barsellotti; Roberto Amoroso; Lorenzo Baraldi 001; Rita Cucchiara (WACV, 2024)

What's Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU. - Maximilian Bernhard; Roberto Amoroso; Yannic Kindermann; Lorenzo Baraldi 001; Rita Cucchiara; Volker Tresp; Matthias Schubert (WACV, 2024)

Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries. - Roberto Amoroso; Gengyuan Zhang; Rajat Koner; Lorenzo Baraldi 001; Rita Cucchiara; Volker Tresp (CoRR, 2024)

Perceive. Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries. - Roberto Amoroso; Gengyuan Zhang; Rajat Koner; Lorenzo Baraldi 002; Rita Cucchiara; Volker Tresp (WACV, 2025)

Learning to mask and permute visual tokens for Vision Transformer pre-training. - Lorenzo Baraldi 002; Roberto Amoroso; Marcella Cornia; Lorenzo Baraldi 001; Andrea Pilzer; Rita Cucchiara (Comput. Vis. Image Underst., 2025)

Architetture Multimodali Attentive di Deep Learning per la Comprensione Visivo-Semantica. - Roberto Amoroso (2025)

Parents and Children: Distinguishing Multimodal Deepfakes from Natural Images. - Roberto Amoroso; Davide Morelli; Marcella Cornia; Lorenzo Baraldi 001; Alberto Del Bimbo; Rita Cucchiara (ACM Trans. Multim. Comput. Commun. Appl., 2025)