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20182025
most citedLearned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules

44 citations · 164 across the 35 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 1 cited

SCP: Spherical-Coordinate-based Learned Point Cloud Compression

Ao Luo, Linxin Song, Keisuke Nonaka +4

In recent years, the task of learned point cloud compression has gained prominence. An important type of point cloud, the spinning LiDAR point cloud, is generated by spinning LiDAR…

cs.DC2023★ 6 cited

Recoil: Parallel rANS Decoding with Decoder-Adaptive Scalability

Fangzheng Lin, Kasidis Arunruangsirilert, Heming Sun +1

Entropy coding is essential to data compression, image and video coding, etc. The Range variant of Asymmetric Numeral Systems (rANS) is a modern entropy coder, featuring superior s…

cs.CV2023★ 7 cited

Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts

Ruoyu Feng, Jinming Liu, Xin Jin +3

Image coding for machines (ICM) aims to compress images to support downstream AI analysis instead of human perception. For ICM, developing a unified codec to reduce information red…

eess.IV2023★ 12 cited

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…

cs.CV2023★ 1 cited

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…