12 citations · 13 across the 5 of their papers we have counts for
5 papers
Learned Image Compression with Mixed Transformer-CNN Architectures
Jinming Liu, Heming Sun, Jiro Katto
Learned image compression (LIC) methods have exhibited promising progress and superior rate-distortion performance compared with classical image compression standards. Most existin…
Multistage Spatial Context Models for Learned Image Compression
Fangzheng Lin, Heming Sun, Jinming Liu +1
Recent state-of-the-art Learned Image Compression methods feature spatial context models, achieving great rate-distortion improvements over hyperprior methods. However, the autoreg…
Semantic Segmentation in Learned Compressed Domain
Jinming Liu, Heming Sun, Jiro Katto
Most machine vision tasks (e.g., semantic segmentation) are based on images encoded and decoded by image compression algorithms (e.g., JPEG). However, these decoded images in the p…
Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules
Ran Wang, Jinming Liu, Heming Sun +1
Lossless image compression is an essential research field in image compression. Recently, learning-based image compression methods achieved impressive performance compared with tra…
Streaming-capable High-performance Architecture of Learned Image Compression Codecs
Fangzheng Lin, Heming Sun, Jiro Katto
Learned image compression allows achieving state-of-the-art accuracy and compression ratios, but their relatively slow runtime performance limits their usage. While previous attemp…