1 citations · 3 across the 5 of their papers we have counts for
5 papers
Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image Transmission
Mingyu Yang, Bowen Liu, Boyang Wang +1
Deep learning-based joint source-channel coding (deep JSCC) has been demonstrated to be an effective approach for wireless image transmission. Nevertheless, most existing work adop…
VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Data
Boyang Wang, Bowen Liu, Shiyu Liu +1
In the blind single image super-resolution (SISR) task, existing works have been successful in restoring image-level unknown degradations. However, when a single video frame become…
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding
Bowen Liu, Yu Chen, Rakesh Chowdary Machineni +2
Learning-based video compression has been extensively studied over the past years, but it still has limitations in adapting to various motion patterns and entropy models. In this p…
Unified Signal Compression Using a GAN with Iterative Latent Representation Optimization
Bowen Liu, Changwoo Lee, Ang Cao +1
We propose a unified signal compression framework that uses a generative adversarial network (GAN) to compress heterogeneous signals. The compressed signal is represented as a late…
Unified Signal Compression Using Generative Adversarial Networks
Bowen Liu, Ang Cao, Hun-seok Kim
We propose a unified compression framework that uses generative adversarial networks (GAN) to compress image and speech signals. The compressed signal is represented by a latent ve…