1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2023
ROI-based Deep Image Compression with Swin Transformers
Binglin Li, Jie Liang, Haisheng Fu +1
Encoding the Region Of Interest (ROI) with better quality than the background has many applications including video conferencing systems, video surveillance and object-oriented vis…
eess.IV2022
Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization Filtering
Haisheng Fu, Feng Liang, Jie Liang +3
Recently, deep learning-based image compression has made signifcant progresses, and has achieved better ratedistortion (R-D) performance than the latest traditional method, H.266/V…
eess.IV2020★ 1 cited
Deep Learning-based Image Compression with Trellis Coded Quantization
Binglin Li, Mohammad Akbari, Jie Liang +1
Recently many works attempt to develop image compression models based on deep learning architectures, where the uniform scalar quantizer (SQ) is commonly applied to the feature map…