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09/13/2023
Diffusion models for audio semantic communication
Directly sending audio signals from a transmitter to a receiver across a...
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09/05/2023
Enhancing Semantic Communication with Deep Generative Models – An ICASSP Special Session Overview
Semantic communication is poised to play a pivotal role in shaping the l...
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06/07/2023
Generative Semantic Communication: Diffusion Models Beyond Bit Recovery
Semantic communication is expected to be one of the cores of next-genera...
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05/18/2023
StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation
This paper addresses the problem of translating night-time thermal infra...
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05/04/2022
Hypercomplex Image-to-Image Translation
Image-to-image translation (I2I) aims at transferring the content repres...
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04/12/2022
Multi-View Breast Cancer Classification via Hypercomplex Neural Networks
Traditionally, deep learning-based methods for breast cancer classificat...
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04/05/2022
Learning Speech Emotion Representations in the Quaternion Domain
The modeling of human emotion expression in speech signals is an importa...
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04/04/2022
Dual Quaternion Ambisonics Array for Six-Degree-of-Freedom Acoustic Representation
Spatial audio methods are gaining a growing interest due to the spread o...
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02/21/2022
L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment
The L3DAS22 Challenge is aimed at encouraging the development of machine...
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10/08/2021
Lightweight Convolutional Neural Networks By Hypercomplex Parameterization
Hypercomplex neural networks have proved to reduce the overall number of...
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04/19/2021
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling
Nonlinear models are known to provide excellent performance in real-worl...
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04/19/2021
Quaternion Generative Adversarial Networks
Latest Generative Adversarial Networks (GANs) are gathering outstanding ...
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04/12/2021
L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing
The L3DAS21 Challenge is aimed at encouraging and fostering collaborativ...
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10/22/2020
Quaternion-Valued Variational Autoencoder
Deep probabilistic generative models have achieved incredible success in...
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08/08/2019
A Multimodal Deep Network for the Reconstruction of T2W MR Images
Multiple sclerosis is one of the most common chronic neurological diseas...
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07/26/2019
Compressing deep quaternion neural networks with targeted regularization
In recent years, hyper-complex deep networks (e.g., quaternion-based) ha...
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02/06/2019
Widely Linear Kernels for Complex-Valued Kernel Activation Functions
Complex-valued neural networks (CVNNs) have been shown to be powerful no...
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12/17/2018
Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events
Learning from data in the quaternion domain enables us to exploit intern...
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07/11/2018
Recurrent Neural Networks with Flexible Gates using Kernel Activation Functions
Gated recurrent neural networks have achieved remarkable results in the ...
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02/26/2018
Improving Graph Convolutional Networks with Non-Parametric Activation Functions
Graph neural networks (GNNs) are a class of neural networks that allow t...
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07/02/2016
Group Sparse Regularization for Deep Neural Networks
In this paper, we consider the joint task of simultaneously optimizing (...
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05/18/2016
