9 citations · 16 across the 6 of their papers we have counts for
8 papers
SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision
Danna Xue, Fei Yang, Pei Wang +4
Accurate semantic segmentation models typically require significant computational resources, inhibiting their use in practical applications. Recent works rely on well-crafted light…
Slimmable Video Codec
Zhaocheng Liu, Luis Herranz, Fei Yang +4
Neural video compression has emerged as a novel paradigm combining trainable multilayer neural networks and machine learning, achieving competitive rate-distortion (RD) performance…
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…