activity
20222026
most citedOctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression

193 citations · 369 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2026★ 22 cited

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…

cs.CV2024

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…

cs.CV2023★ 2 cited

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.…

cs.CV2023

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…

eess.IV2022

OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms

Jia-Xin Zhuang, Xiansong Huang, Yang Yang +6

In this paper, we present OpenMedIA, an open-source toolbox library containing a rich set of deep learning methods for medical image analysis under heterogeneous Artificial Intelli…

cs.MM2022★ 48 cited

Consistent Quality Oriented Rate Control in HEVC via Balancing Intra and Inter Frame Coding

Wei Gao, Qiuping Jiang, Ronggang Wang +3

Consistent quality oriented rate control in video coding has attracted much more attention. However, the existing efforts only focus on decreasing variations between every two adja…

cs.CV2022

Salient Object Detection for Point Clouds

Songlin Fan, Wei Gao, Ge Li

This paper researches the unexplored task-point cloud salient object detection (SOD). Differing from SOD for images, we find the attention shift of point clouds may provoke salienc…

cs.CV2022

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…

cs.CV2022★ 5 cited

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…

cs.CV2022★ 193 cited

OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression

Chunyang Fu, Ge Li, Rui Song +2

In point cloud compression, sufficient contexts are significant for modeling the point cloud distribution. However, the contexts gathered by the previous voxel-based methods decrea…

cs.CV2022★ 99 cited

Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval

Xianghao Zang, Ge Li, Wei Gao

In video surveillance, pedestrian retrieval (also called person re-identification) is a critical task. This task aims to retrieve the pedestrian of interest from non-overlapping ca…