12 citations · 15 across the 3 of their papers we have counts for
4 papers · 1 filter
RangeLDM: Fast Realistic LiDAR Point Cloud Generation
Qianjiang Hu, Zhimin Zhang, Wei Hu
Autonomous driving demands high-quality LiDAR data, yet the cost of physical LiDAR sensors presents a significant scaling-up challenge. While recent efforts have explored deep gene…
Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection
Qianjiang Hu, Daizong Liu, Wei Hu
3D object detection from point clouds is crucial in safety-critical autonomous driving. Although many works have made great efforts and achieved significant progress on this task,…
Dynamic Point Cloud Denoising via Gradient Fields
Qianjiang Hu, Wei Hu
3D dynamic point clouds provide a discrete representation of real-world objects or scenes in motion, which have been widely applied in immersive telepresence, autonomous driving, s…
3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning
Wei Hu, Qianjiang Hu, Zehua Wang +1
The prevalence of accessible depth sensing and 3D laser scanning techniques has enabled the convenient acquisition of 3D dynamic point clouds, which provide efficient representatio…