5 citations · 8 across the 14 of their papers we have counts for
7 papers · 1 filter
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…
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…
Suite-IN: Aggregating Motion Features from Apple Suite for Robust Inertial Navigation
Lan Sun, Songpengcheng Xia, Junyuan Deng +4
With the rapid development of wearable technology, devices like smartphones, smartwatches, and headphones equipped with IMUs have become essential for applications such as pedestri…
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…
TON-VIO: Online Time Offset Modeling Networks for Robust Temporal Alignment in High Dynamic Motion VIO
Chaoran Xiong, Guoqing Liu, Qi Wu +6
Temporal misalignment (time offset) between sensors is common in low cost visual-inertial odometry (VIO) systems. Such temporal misalignment introduces inconsistent constraints for…
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…
Explicit Interaction for Fusion-Based Place Recognition
Jingyi Xu, Junyi Ma, Qi Wu +4
Fusion-based place recognition is an emerging technique jointly utilizing multi-modal perception data, to recognize previously visited places in GPS-denied scenarios for robots and…