Roberto Amoroso

Orcid: 0000-0002-1033-2485

According to our database1, Roberto Amoroso authored at least 15 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Parents and Children: Distinguishing Multimodal Deepfakes from Natural Images.
ACM Trans. Multim. Comput. Commun. Appl., January, 2025

Architetture Multimodali Attentive di Deep Learning per la Comprensione Visivo-Semantica.
PhD thesis, 2025

Learning to mask and permute visual tokens for Vision Transformer pre-training.
Comput. Vis. Image Underst., 2025

Perceive. Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024
Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries.
CoRR, 2024

What's Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

FOSSIL: Free Open-Vocabulary Semantic Segmentation through Synthetic References Retrieval.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Enhancing Open-Vocabulary Semantic Segmentation with Prototype Retrieval.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

A Federated Learning Approach to Traffic Matrix Estimation using Super-resolution Techniques.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

Superpixel Positional Encoding to Improve ViT-based Semantic Segmentation Models.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Investigating Bidimensional Downsampling in Vision Transformer Models.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2021
Improving Indoor Semantic Segmentation with Boundary-Level Objectives.
Proceedings of the Advances in Computational Intelligence, 2021

Assessing the Role of Boundary-Level Objectives in Indoor Semantic Segmentation.
Proceedings of the Computer Analysis of Images and Patterns, 2021

2020
Estimation of traffic matrices via super-resolution and federated learning.
Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020


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