9 citations · 16 across the 6 of their papers we have counts for
5 papers · 1 filter
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Shangwei Guo, Xu Zhang, Fei Yang +4
With the rapid demand of data and computational resources in deep learning systems, a growing number of algorithms to utilize collaborative machine learning techniques, for example…
A Novel Framework for Image-to-image Translation and Image Compression
Fei Yang, Yaxing Wang, Luis Herranz +2
Data-driven paradigms using machine learning are becoming ubiquitous in image processing and communications. In particular, image-to-image (I2I) translation is a generic and widely…
DANICE: Domain adaptation without forgetting in neural image compression
Sudeep Katakol, Luis Herranz, Fei Yang +1
Neural image compression (NIC) is a new coding paradigm where coding capabilities are captured by deep models learned from data. This data-driven nature enables new potential funct…
Representation, Analysis of Bayesian Refinement Approximation Network: A Survey
Ningbo Zhu, Fei Yang
After an artificial model background subtraction, the pixels have been labelled as foreground and background. Previous approaches to secondary processing the output for denoising u…
Slimmable Compressive Autoencoders for Practical Neural Image Compression
Fei Yang, Luis Herranz, Yongmei Cheng +1
Neural image compression leverages deep neural networks to outperform traditional image codecs in rate-distortion performance. However, the resulting models are also heavy, computa…