activity
20162024
most citedGroup Sparse Regularization for Deep Neural Networks

477 citations · 491 across the 13 of their papers we have counts for

collaborators
Showing 2023Show all

8 papers · 1 filter

cs.SD20232 cited

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…

cs.HC2023

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…

cs.AI2023

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…

cs.LG2023

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…

cs.SD2023

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…

cs.LG20232 cited

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…