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eess.IV2023
Enhanced Residual SwinV2 Transformer for Learned Image Compression
Yongqiang Wang, Feng Liang, Haisheng Fu +3
Recently, the deep learning technology has been successfully applied in the field of image compression, leading to superior rate-distortion performance. However, a challenge of man…
eess.IV2022★ 1 cited
Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation
Haisheng Fu, Feng Liang
The application of the context-adaptive entropy model significantly improves the rate-distortion (R-D) performance, in which hyperpriors and autoregressive models are jointly utili…
eess.IV2022
Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization Filtering
Haisheng Fu, Feng Liang, Jie Liang +3
Recently, deep learning-based image compression has made signifcant progresses, and has achieved better ratedistortion (R-D) performance than the latest traditional method, H.266/V…