← Search

Guohe Zhang

2 accepted papers

2024

Efficient Learned Image Compression with Selective Kernel Residual Module and Channel-Wise Causal Context Model

ICASSP 2024accepted

Recently, learning-based image compression approaches have achieved superior performance over classical image compression methods. However, their complexities remain quite high. In this paper, we propose two efficient modules to reduce the complexity. First, we introduce a selective kernel residual…

Cited by 0SourceScholar
2024

WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model

ECCV 2024poster

"Recently learned image compression (LIC) has achieved great progress and even outperformed the traditional approach using DCT or discrete wavelet transform (DWT). However, LIC mainly reduces spatial redundancy in the autoencoder networks and entropy coding, but has not fully removed the frequency-d…