Publications

Roberto Amoroso, Matteo Tomei, Lorenzo Baraldi, Rita Cucchiara (2023). Superpixel Positional Encoding to Improve ViT-based Semantic Segmentation Models. In British Machine Vision Conference (BMVC) 2023.

Luca Barsellotti, Roberto Amoroso, Lorenzo Baraldi, Rita Cucchiara (2023). Enhancing Open-Vocabulary Semantic Segmentation with Prototype Retrieval. In International Conference on Image Analysis and Processing (ICIAP) 2023.

Lorenzo Baraldi, Roberto Amoroso, Marcella Cornia, Lorenzo_Baraldi, Andrea Pilzer, Rita Cucchiara (2023). MaPeT: Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training.

Roberto Amoroso, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Alberto Del Bimbo, Rita Cucchiara (2023). Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images.

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Roberto Amoroso, Lorenzo Pappone, Flavio Esposito (2022). A Federated Learning Approach to Traffic Matrix Estimation using Super-resolution Techniques. In IEEE Consumer Communications and Networking Conference (CCNC) 2022.

Paolo Bruno, Roberto Amoroso, Marcella Cornia, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara (2022). Investigating Bidimensional Downsampling in Vision Transformer Models. In International Conference on Image Analysis and Processing (ICIAP) 2021.

Roberto Amoroso, Lorenzo Baraldi, Rita Cucchiara (2021). Assessing the Role of Boundary-Level Objectives in Indoor Semantic Segmentation. In International Conference on Computer Analysis of Images and Patterns (CAIP) 2021.

Roberto Amoroso, Lorenzo Baraldi, Rita Cucchiara (2021). Improving Indoor Semantic Segmentation with Boundary-Level Objectives. In International Work-Conference on Artificial Neural Networks (IWANN) 2021.

Roberto Amoroso, Flavio Esposito, Maria Luisa Merani (2020). Estimation of Traffic Matrices via Super-resolution and Federated Learning. In International Conference on Emerging Networking EXperiments and Technologies (CoNEXT) 2020.