research
∙
05/12/2023
ROI-based Deep Image Compression with Swin Transformers
Encoding the Region Of Interest (ROI) with better quality than the backg...
share
research
∙
06/21/2022
Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization Filtering
Recently, deep learning-based image compression has made signifcant prog...
research
∙
05/02/2022
Reproducing Kernels and New Approaches in Compositional Data Analysis
Compositional data, such as human gut microbiomes, consist of non-negati...
research
∙
12/23/2020
Skeleton-based Approaches based on Machine Vision: A Survey
Recently, skeleton-based approaches have achieved rapid progress on the ...
research
∙
01/26/2020
Deep Learning-based Image Compression with Trellis Coded Quantization
Recently many works attempt to develop image compression models based on...
research
∙
12/28/2017
Chernoff Information between Gaussian Trees
In this paper, we aim to provide a systematic study of the relationship ...
research
∙
12/28/2017