1 citations · 2 across the 18 of their papers we have counts for
4 papers · 1 filter
Joint Transmission and Deblurring: A Semantic Communication Approach Using Events
Pujing Yang, Guangyi Zhang, Yunlong Cai +2
Deep learning-based joint source-channel coding (JSCC) is emerging as a promising technology for effective image transmission. However, most existing approaches focus on transmitti…
Coarse-to-Fine: A Dual-Phase Channel-Adaptive Method for Wireless Image Transmission
Hanlei Li, Guangyi Zhang, Kequan Zhou +2
Developing channel-adaptive deep joint source-channel coding (JSCC) systems is a critical challenge in wireless image transmission. While recent advancements have been made, most e…
Learned Image Transmission with Hierarchical Variational Autoencoder
Guangyi Zhang, Hanlei Li, Yunlong Cai +3
In this paper, we introduce an innovative hierarchical joint source-channel coding (HJSCC) framework for image transmission, utilizing a hierarchical variational autoencoder (VAE).…
Deep Refinement-Based Joint Source Channel Coding over Time-Varying Channels
Junyu Pan, Hanlei Li, Guangyi Zhang +2
In recent developments, deep learning (DL)-based joint source-channel coding (JSCC) for wireless image transmission has made significant strides in performance enhancement. Nonethe…