In recent years, the task of learned point cloud compression has gained
...
While the 5G New Radio (NR) network promises a huge uplift of the uplink...
Entropy coding is essential to data compression, image and video coding,...
Learned image compression (LIC) methods have exhibited promising progres...
Recent state-of-the-art Learned Image Compression methods feature spatia...
Due to the recent demand for huge Uplink throughput on Mobile networks d...
While the rollout of the fifth-generation mobile network (5G) is underwa...
Spectral Normalization is one of the best methods for stabilizing the
tr...
Most machine vision tasks (e.g., semantic segmentation) are based on ima...
Lossless image compression is an essential research field in image
compr...
Learned image compression allows achieving state-of-the-art accuracy and...
Internet traffic is dramatically increasing with the development of netw...
With the dramatically increasing video streaming in the total network
tr...
In this paper, we propose a learned video codec with a residual predicti...
Convolutional neural network (CNN)-based filters have achieved great suc...
Convolutional Neural Network (CNN)-based filters have achieved significa...
In this paper, a dual learning-based method in intra coding is introduce...
Image compression has been investigated as a fundamental research topic ...