477 citations · 819 across the 59 of their papers we have counts for
11 papers · 1 filter
SyncFusion: Multimodal Onset-synchronized Video-to-Audio Foley Synthesis
Marco Comunità, Riccardo F. Gramaccioni, Emilian Postolache +3
Sound design involves creatively selecting, recording, and editing sound effects for various media like cinema, video games, and virtual/augmented reality. One of the most time-con…
Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals
Eleonora Lopez, Eleonora Chiarantano, Eleonora Grassucci +1
Multimodal emotion recognition from physiological signals is receiving an increasing amount of attention due to the impossibility to control them at will unlike behavioral reaction…
Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling
Guilherme Vieira, Eleonora Grassucci, Marcos Eduardo Valle +1
Objects' rigid motions in 3D space are described by rotations and translations of a highly-correlated set of points, each with associated coordinates that real-valued netwo…
PHYDI: Initializing Parameterized Hypercomplex Neural Networks as Identity Functions
Matteo Mancanelli, Eleonora Grassucci, Aurelio Uncini +1
Neural models based on hypercomplex algebra systems are growing and prolificating for a plethora of applications, ranging from computer vision to natural language processing. Hand…
Generalizing Medical Image Representations via Quaternion Wavelet Networks
Luigi Sigillo, Eleonora Grassucci, Aurelio Uncini +1
Neural network generalizability is becoming a broad research field due to the increasing availability of datasets from different sources and for various tasks. This issue is even w…
Attention-Map Augmentation for Hypercomplex Breast Cancer Classification
Eleonora Lopez, Filippo Betello, Federico Carmignani +2
Breast cancer is the most widespread neoplasm among women and early detection of this disease is critical. Deep learning techniques have become of great interest to improve diagnos…
Diffusion models for audio semantic communication
Eleonora Grassucci, Christian Marinoni, Andrea Rodriguez +1
Directly sending audio signals from a transmitter to a receiver across a noisy channel may absorb consistent bandwidth and be prone to errors when trying to recover the transmitted…
Enhancing Semantic Communication with Deep Generative Models -- An ICASSP Special Session Overview
Eleonora Grassucci, Yuki Mitsufuji, Ping Zhang +1
Semantic communication is poised to play a pivotal role in shaping the landscape of future AI-driven communication systems. Its challenge of extracting semantic information from th…
Semantic Communications Based on Adaptive Generative Models and Information Bottleneck
S. Barbarossa, D. Comminiello, E. Grassucci +3
Semantic communications represent a significant breakthrough with respect to the current communication paradigm, as they focus on recovering the meaning behind the transmitted sequ…
Generative Semantic Communication: Diffusion Models Beyond Bit Recovery
Eleonora Grassucci, Sergio Barbarossa, Danilo Comminiello
Semantic communication is expected to be one of the cores of next-generation AI-based communications. One of the possibilities offered by semantic communication is the capability t…
StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation
Luigi Sigillo, Eleonora Grassucci, Danilo Comminiello
This paper addresses the problem of translating night-time thermal infrared images, which are the most adopted image modalities to analyze night-time scenes, to daytime color image…