44 citations · 203 across the 51 of their papers we have counts for
5 papers · 1 filter
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…
UplinkNet: Practical Commercial 5G Standalone (SA) Uplink Throughput Prediction
Kasidis Arunruangsirilert, Jiro Katto
While 5G New Radio (NR) networks offer significant uplink throughput improvements, these gains are primarily realized when User Equipment (UE) connects to high-frequency millimeter…
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…
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…