5 citations · 7 across the 5 of their papers we have counts for
5 papers
SQ-GAN: Semantic Image Communications Using Masked Vector Quantization
Francesco Pezone, Sergio Barbarossa, Giuseppe Caire
This work introduces Semantically Masked Vector Quantized Generative Adversarial Network (SQ-GAN), a novel approach integrating semantically driven image coding and vector quantiza…
Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization
Francesco Pezone
As digital technologies advance, communication networks face challenges in handling the vast data generated by intelligent devices. Autonomous vehicles, smart sensors, and IoT syst…
Semantic-Preserving Image Coding based on Conditional Diffusion Models
Francesco Pezone, Osman Musa, Giuseppe Caire +1
Semantic communication, rather than on a bit-by-bit recovery of the transmitted messages, focuses on the meaning and the goal of the communication itself. In this paper, we propose…
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…
Goal-Oriented Communication for Edge Learning based on the Information Bottleneck
Francesco Pezone, Sergio Barbarossa, Paolo Di Lorenzo
Whenever communication takes place to fulfil a goal, an effective way to encode the source data to be transmitted is to use an encoding rule that allows the receiver to meet the re…