activity
20242026
collaborators
Showing cs.CVShow all

8 papers · 1 filter

cs.CV2026

VGGT-MPR: VGGT-Enhanced Multimodal Place Recognition in Autonomous Driving Environments

Jingyi Xu, Zhangshuo Qi, Zhongmiao Yan +5

In autonomous driving, robust place recognition is critical for global localization and loop closure detection. While inter-modality fusion of camera and LiDAR data in multimodal p…

cs.CV2026

360-GeoGS: Geometrically Consistent Feed-Forward 3D Gaussian Splatting Reconstruction for 360 Images

Jiaqi Yao, Zhongmiao Yan, Jingyi Xu +3

3D scene reconstruction is fundamental for spatial intelligence applications such as AR, robotics, and digital twins. Traditional multi-view stereo struggles with sparse viewpoints…

cs.CV2025

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…

cs.CV2025

Suite-IN++: A FlexiWear BodyNet Integrating Global and Local Motion Features from Apple Suite for Robust Inertial Navigation

Lan Sun, Songpengcheng Xia, Jiarui Yang +1

The proliferation of wearable technology has established multi-device ecosystems comprising smartphones, smartwatches, and headphones as critical enablers for ubiquitous pedestrian…

cs.CV2025

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…

cs.CV2024

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…