1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.AP2024
Learned Image Compression with Dual-Branch Encoder and Conditional Information Coding
Haisheng Fu, Feng Liang, Jie Liang +3
Recent advancements in deep learning-based image compression are notable. However, prevalent schemes that employ a serial context-adaptive entropy model to enhance rate-distortion…
eess.IV2023★ 1 cited
Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation
Haisheng Fu, Feng Liang, Jie Liang +3
Deep learning-based image compression has made great progresses recently. However, many leading schemes use serial context-adaptive entropy model to improve the rate-distortion (R-…
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…