12 citations · 23 across the 6 of their papers we have counts for
7 papers
ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval
Nicola Messina, Matteo Stefanini, Marcella Cornia +4
Image-text matching is gaining a leading role among tasks involving the joint understanding of vision and language. In literature, this task is often used as a pre-training objecti…
CaMEL: Mean Teacher Learning for Image Captioning
Manuele Barraco, Matteo Stefanini, Marcella Cornia +3
Describing images in natural language is a fundamental step towards the automatic modeling of connections between the visual and textual modalities. In this paper we present CaMEL,…
From Show to Tell: A Survey on Deep Learning-based Image Captioning
Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi +3
Connecting Vision and Language plays an essential role in Generative Intelligence. For this reason, large research efforts have been devoted to image captioning, i.e. describing im…
Learning to Select: A Fully Attentive Approach for Novel Object Captioning
Marco Cagrandi, Marcella Cornia, Matteo Stefanini +2
Image captioning models have lately shown impressive results when applied to standard datasets. Switching to real-life scenarios, however, constitutes a challenge due to the larger…
A Novel Attention-based Aggregation Function to Combine Vision and Language
Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi +1
The joint understanding of vision and language has been recently gaining a lot of attention in both the Computer Vision and Natural Language Processing communities, with the emerge…
Meshed-Memory Transformer for Image Captioning
Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi +1
Transformer-based architectures represent the state of the art in sequence modeling tasks like machine translation and language understanding. Their applicability to multi-modal co…
A Deep Learning based approach to VM behavior identification in cloud systems
Matteo Stefanini, Riccardo Lancellotti, Lorenzo Baraldi +1
Cloud computing data centers are growing in size and complexity to the point where monitoring and management of the infrastructure become a challenge due to scalability issues. A p…