8 papers · 1 filter
XGrid-Mapping: Explicit Implicit Hybrid Grid Submaps for Efficient Incremental Neural LiDAR Mapping
Zeqing Song, Zhongmiao Yan, Junyuan Deng +5
Large-scale incremental mapping is fundamental to the development of robust and reliable autonomous systems, as it underpins incremental environmental understanding with sequential…
EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling
Songpengcheng Xia, Yu Zhang, Zhuo Su +7
Estimating full-body motion using the tracking signals of head and hands from VR devices holds great potential for various applications. However, the sparsity and unique distributi…
mmDEAR: mmWave Point Cloud Density Enhancement for Accurate Human Body Reconstruction
Jiarui Yang, Songpengcheng Xia, Zengyuan Lai +4
Millimeter-wave (mmWave) radar offers robust sensing capabilities in diverse environments, making it a highly promising solution for human body reconstruction due to its privacy-fr…
360Recon: An Accurate Reconstruction Method Based on Depth Fusion from 360 Images
Zhongmiao Yan, Qi Wu, Songpengcheng Xia +4
360-degree images offer a significantly wider field of view compared to traditional pinhole cameras, enabling sparse sampling and dense 3D reconstruction in low-texture environment…
SMART: Scene-motion-aware human action recognition framework for mental disorder group
Zengyuan Lai, Jiarui Yang, Songpengcheng Xia +4
Patients with mental disorders often exhibit risky abnormal actions, such as climbing walls or hitting windows, necessitating intelligent video behavior monitoring for smart health…
Thermal-NeRF: Neural Radiance Fields from an Infrared Camera
Tianxiang Ye, Qi Wu, Junyuan Deng +6
In recent years, Neural Radiance Fields (NeRFs) have demonstrated significant potential in encoding highly-detailed 3D geometry and environmental appearance, positioning themselves…