4 citations · 7 across the 3 of their papers we have counts for
3 papers
eess.IV2020★ 4 cited
Learned Variable-Rate Multi-Frequency Image Compression using Modulated Generalized Octave Convolution
Jianping Lin, Mohammad Akbari, Haisheng Fu +7
In this proposal, we design a learned multi-frequency image compression approach that uses generalized octave convolutions to factorize the latent representations into high-frequen…
eess.IV2020★ 1 cited
Deep Learning-based Image Compression with Trellis Coded Quantization
Binglin Li, Mohammad Akbari, Jie Liang +1
Recently many works attempt to develop image compression models based on deep learning architectures, where the uniform scalar quantizer (SQ) is commonly applied to the feature map…
eess.IV2019★ 2 cited
Learned Variable-Rate Image Compression with Residual Divisive Normalization
Mohammad Akbari, Jie Liang, Jingning Han +1
Recently it has been shown that deep learning-based image compression has shown the potential to outperform traditional codecs. However, most existing methods train multiple networ…