401 citations · 880 across the 29 of their papers we have counts for
10 papers · 1 filter
DUGAE: Unified Geometry and Attribute Enhancement via Spatiotemporal Correlations for G-PCC Compressed Dynamic Point Clouds
Pan Zhao, Hui Yuan, Chang Sun +3
Existing post-decoding quality enhancement methods for point clouds are designed for static data and typically process each frame independently. As a result, they cannot effectivel…
Fast Attention-Based Simplification of LiDAR Point Clouds for Object Detection and Classification
Z. Rozsa, Á. Madaras, Q. Wei +5
LiDAR point clouds are widely used in autonomous driving and consist of large numbers of 3D points captured at high frequency to represent surrounding objects such as vehicles, ped…
A Three-Level Alignment Framework for Large-Scale 3D Retrieval and Controlled 4D Generation
Philip Xu
We introduce Uni4D, a unified framework for large scale open vocabulary 3D retrieval and controlled 4D generation based on structured three level alignment across text, 3D models,…
UGAE: Unified Geometry and Attribute Enhancement for G-PCC Compressed Point Clouds
Pan Zhao, Hui Yuan, Chongzhen Tian +3
Lossy compression of point clouds reduces storage and transmission costs; however, it inevitably leads to irreversible distortion in geometry structure and attribute information. T…
STQE: Spatial-Temporal Attribute Quality Enhancement for G-PCC Compressed Dynamic Point Clouds
Tian Guo, Hui Yuan, Xiaolong Mao +3
Very few studies have addressed quality enhancement for compressed dynamic point clouds. In particular, the effective exploitation of spatial-temporal correlations between point cl…
EdgeRegNet: Edge Feature-based Multimodal Registration Network between Images and LiDAR Point Clouds
Yuanchao Yue, Hui Yuan, Qinglong Miao +3
Cross-modal data registration has long been a critical task in computer vision, with extensive applications in autonomous driving and robotics. Accurate and robust registration met…
CS-Net:Contribution-based Sampling Network for Point Cloud Simplification
Tian Guo, Chen Chen, Hui Yuan +3
Point cloud sampling plays a crucial role in reducing computation costs and storage requirements for various vision tasks. Traditional sampling methods, such as farthest point samp…
Relaxed forced choice improves performance of visual quality assessment methods
Mohsen Jenadeleh, Johannes Zagermann, Harald Reiterer +3
In image quality assessment, a collective visual quality score for an image or video is obtained from the individual ratings of many subjects. One commonly used format for these ex…
Progressive Knowledge Transfer Based on Human Visual Perception Mechanism for Perceptual Quality Assessment of Point Clouds
Qi Liu, Yiyun Liu, Honglei Su +2
With the wide applications of colored point cloud in many fields, point cloud perceptual quality assessment plays a vital role in the visual communication systems owing to the exis…
PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling
Hao Liu, Hui Yuan, Junhui Hou +2
We propose a generative adversarial network for point cloud upsampling, which can not only make the upsampled points evenly distributed on the underlying surface but also efficient…