75 citations · 195 across the 21 of their papers we have counts for
5 papers · 1 filter
Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks
Mohammad Akbari, Jie Liang, Jingning Han +1
Recently deep learning-based image compression has shown the potential to outperform traditional codecs. However, most existing methods train multiple networks for multiple bit rat…
DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
Mohammad Akbari, Jie Liang, Jingning Han
Deep learning has revolutionized many computer vision fields in the last few years, including learning-based image compression. In this paper, we propose a deep semantic segmentati…
Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network
Lijun Zhao, Huihui Bai, Jie Liang +3
Recently, Generative Adversarial Network (GAN) has been found wide applications in style transfer, image-to-image translation and image super-resolution. In this paper, a color-dep…
Local Activity-tuned Image Filtering for Noise Removal and Image Smoothing
Lijun Zhao, Jie Liang, Huihui Bai +3
In this paper, two local activity-tuned filtering frameworks are proposed for noise removal and image smoothing, where the local activity measurement is given by the clipped and no…
Scalable Compression of Deep Neural Networks
Xing Wang, Jie Liang
Deep neural networks generally involve some layers with mil- lions of parameters, making them difficult to be deployed and updated on devices with limited resources such as mobile…