8 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 2 cited
Perceptual Learned Source-Channel Coding for High-Fidelity Image Semantic Transmission
Jun Wang, Sixian Wang, Jincheng Dai +3
As one novel approach to realize end-to-end wireless image semantic transmission, deep learning-based joint source-channel coding (deep JSCC) method is emerging in both deep learni…
cs.IT2022★ 8 cited
Towards Semantic Communications: A Paradigm Shift
Kai Niu, Jincheng Dai, Shengshi Yao +4
The last seventy years have witnessed the transition of communication from Shannon's theoretical concept to current high-efficient practical systems. Classical communication system…
cs.IT2022
Distributed Image Transmission using Deep Joint Source-Channel Coding
Sixian Wang, Ke Yang, Jincheng Dai +1
We study the problem of deep joint source-channel coding (D-JSCC) for correlated image sources, where each source is transmitted through a noisy independent channel to the common r…