5 citations · 7 across the 5 of their papers we have counts for
5 papers
Voxel-based Point Cloud Geometry Compression with Space-to-Channel Context
Bojun Liu, Yangzhi Ma, Ao Luo +2
Voxel-based methods are among the most efficient for point cloud geometry compression, particularly with dense point clouds. However, they face limitations due to a restricted rece…
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…
Memory-Efficient Learned Image Compression with Pruned Hyperprior Module
Ao Luo, Heming Sun, Jinming Liu +1
Learned Image Compression (LIC) gradually became more and more famous in these years. The hyperprior-module-based LIC models have achieved remarkable rate-distortion performance. H…
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training
Yan Zeng, Wangchunshu Zhou, Ao Luo +2
In this paper, we introduce Cross-View Language Modeling, a simple and effective pre-training framework that unifies cross-lingual and cross-modal pre-training with shared architec…
Deep-VFX: Deep Action Recognition Driven VFX for Short Video
Ao Luo, Ning Xie, Zhijia Tao +1
Human motion is a key function to communicate information. In the application, short-form mobile video is so popular all over the world such as Tik Tok. The users would like to add…