99 citations · 126 across the 6 of their papers we have counts for
7 papers · 1 filter
Overview and Comparison of AVS Point Cloud Compression Standard
Wei Gao, Wenxu Gao, Xingming Mu +2
Point cloud is a prevalent 3D data representation format with significant application values in immersive media, autonomous driving, digital heritage protection, etc. However, the…
Stochasticity-aware No-Reference Point Cloud Quality Assessment
Songlin Fan, Wei Gao, Zhineng Chen +3
The evolution of point cloud processing algorithms necessitates an accurate assessment for their quality. Previous works consistently regard point cloud quality assessment (PCQA) a…
Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations
Zhiyi Pan, Nan Zhang, Wei Gao +2
Utilizing uniformly distributed sparse annotations, weakly supervised learning alleviates the heavy reliance on fine-grained annotations in point cloud semantic segmentation tasks.…
Mug-STAN: Adapting Image-Language Pretrained Models for General Video Understanding
Ruyang Liu, Jingjia Huang, Wei Gao +2
Large-scale image-language pretrained models, e.g., CLIP, have demonstrated remarkable proficiency in acquiring general multi-modal knowledge through web-scale image-text data. Des…
Deep Geometry Post-Processing for Decompressed Point Clouds
Xiaoqing Fan, Ge Li, Dingquan Li +3
Point cloud compression plays a crucial role in reducing the huge cost of data storage and transmission. However, distortions can be introduced into the decompressed point clouds d…
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation
Wenbo Zhao, Xianming Liu, Zhiwei Zhong +4
Point clouds upsampling is a challenging issue to generate dense and uniform point clouds from the given sparse input. Most existing methods either take the end-to-end supervised l…