23 citations · 30 across the 9 of their papers we have counts for
12 papers · 1 filter
Hierarchical Hypercomplex Network for Multimodal Emotion Recognition
Eleonora Lopez, Aurelio Uncini, Danilo Comminiello
Emotion recognition is relevant in various domains, ranging from healthcare to human-computer interaction. Physiological signals, being beyond voluntary control, offer reliable inf…
Lightweight Diffusion Models for Resource-Constrained Semantic Communication
Giovanni Pignata, Eleonora Grassucci, Giordano Cicchetti +1
Recently, generative semantic communication models have proliferated as they are revolutionizing semantic communication frameworks, improving their performance, and opening the way…
TACE: Tumor-Aware Counterfactual Explanations
Eleonora Beatrice Rossi, Eleonora Lopez, Danilo Comminiello
The application of deep learning in medical imaging has significantly advanced diagnostic capabilities, enhancing both accuracy and efficiency. Despite these benefits, the lack of…
PHemoNet: A Multimodal Network for Physiological Signals
Eleonora Lopez, Aurelio Uncini, Danilo Comminiello
Emotion recognition is essential across numerous fields, including medical applications and brain-computer interface (BCI). Emotional responses include behavioral reactions, such a…
Ship in Sight: Diffusion Models for Ship-Image Super Resolution
Luigi Sigillo, Riccardo Fosco Gramaccioni, Alessandro Nicolosi +1
In recent years, remarkable advancements have been achieved in the field of image generation, primarily driven by the escalating demand for high-quality outcomes across various ima…
Language-Oriented Semantic Latent Representation for Image Transmission
Giordano Cicchetti, Eleonora Grassucci, Jihong Park +3
In the new paradigm of semantic communication (SC), the focus is on delivering meanings behind bits by extracting semantic information from raw data. Recent advances in data-to-tex…