activity
20242026
most citedEnhancing octree-based context models for point cloud geometry compression with attention-based child node number prediction

17 citations · 18 across the 10 of their papers we have counts for

collaborators
Showing eess.IVShow all

7 papers · 1 filter

eess.IV2026

Point Cloud Feature Coding for Object Detection over an Error-Prone Cloud-Edge Collaborative System

Chongzhen Tian, Hui Yuan, Pan Zhao +3

Cloud-edge collaboration enhances machine perception by combining the strengths of edge and cloud computing. Edge devices capture raw data (e.g., 3D point clouds) and extract salie…

eess.IV2025

PCE-GAN: A Generative Adversarial Network for Point Cloud Attribute Quality Enhancement based on Optimal Transport

Tian Guo, Hui Yuan, Qi Liu +3

Point cloud compression significantly reduces data volume but sacrifices reconstruction quality, highlighting the need for advanced quality enhancement techniques. Most existing ap…

eess.IV2024

SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds

Xiaolong Mao, Hui Yuan, Tian Guo +3

We propose an end-to-end attribute compression method for dense point clouds. The proposed method combines a frequency sampling module, an adaptive scale feature extraction module…

eess.IV2024★ 1 cited

Feature Compression for Cloud-Edge Multimodal 3D Object Detection

Chongzhen Tian, Zhengxin Li, Hui Yuan +3

Machine vision systems, which can efficiently manage extensive visual perception tasks, are becoming increasingly popular in industrial production and daily life. Due to the challe…

eess.IV2024

PCAC-GAN: A Sparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

Xiaolong Mao, Hui Yuan, Xin Lu +2

Learning-based methods have proven successful in compressing geometric information for point clouds. For attribute compression, however, they still lag behind non-learning-based me…

eess.IV2024★ 17 cited

Enhancing octree-based context models for point cloud geometry compression with attention-based child node number prediction

Chang Sun, Hui Yuan, Xiaolong Mao +2

In point cloud geometry compression, most octreebased context models use the cross-entropy between the onehot encoding of node occupancy and the probability distribution predicted…

eess.IV2024

Global Spatial-Temporal Information-based Residual ConvLSTM for Video Space-Time Super-Resolution

Congrui Fu, Hui Yuan, Shiqi Jiang +3

By converting low-frame-rate, low-resolution videos into high-frame-rate, high-resolution ones, space-time video super-resolution techniques can enhance visual experiences and faci…