6 citations · 6 across the 6 of their papers we have counts for
6 papers
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…
Timestamp-supervised Wearable-based Activity Segmentation and Recognition with Contrastive Learning and Order-Preserving Optimal Transport
Songpengcheng Xia, Lei Chu, Ling Pei +3
Human activity recognition (HAR) with wearables is one of the serviceable technologies in ubiquitous and mobile computing applications. The sliding-window scheme is widely adopted…
NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping
Junyuan Deng, Xieyuanli Chen, Songpengcheng Xia +4
Simultaneously odometry and mapping using LiDAR data is an important task for mobile systems to achieve full autonomy in large-scale environments. However, most existing LiDAR-base…
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition
Songpengcheng Xia, Lei Chu, Ling Pei +2
Human activity recognition (HAR) with wearables is promising research that can be widely adopted in many smart healthcare applications. In recent years, the deep learning-based HAR…