28 citations · 49 across the 18 of their papers we have counts for
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stat.AP2024
WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model
Haisheng Fu, Jie Liang, Zhenman Fang +3
Recently learned image compression (LIC) has achieved great progress and even outperformed the traditional approach using DCT or discrete wavelet transform (DWT). However, LIC main…
eess.IV2024
S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context
Yongqiang Wang, Haisheng Fu, Qi Cao +3
Recently, deep learning technology has been successfully applied in the field of image compression, leading to superior rate-distortion performance. It is crucial to design an effe…
stat.AP2024
Learned Image Compression with Dual-Branch Encoder and Conditional Information Coding
Haisheng Fu, Feng Liang, Jie Liang +3
Recent advancements in deep learning-based image compression are notable. However, prevalent schemes that employ a serial context-adaptive entropy model to enhance rate-distortion…