5 citations · 5 across the 6 of their papers we have counts for
6 papers
On-the-Fly Object-aware Representative Point Selection in Point Cloud
Xiaoyu Zhang, Ziwei Wang, Hai Dong +2
Point clouds are essential for object modeling and play a critical role in assisting driving tasks for autonomous vehicles (AVs). However, the significant volume of data generated…
Querying Autonomous Vehicle Point Clouds: Enhanced by 3D Object Counting with CounterNet
Xiaoyu Zhang, Zhifeng Bao, Hai Dong +2
Autonomous vehicles generate massive volumes of point cloud data, yet only a subset is relevant for specific tasks such as collision detection, traffic analysis, or congestion moni…
Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance Monitoring
Jia Syuen Lim, Ziwei Wang, Jiajun Liu +4
Regulatory compliance auditing across diverse industrial domains requires heightened quality assurance and traceability. Present manual and intermittent approaches to such auditing…
Point-Syn2Real: Semi-Supervised Synthetic-to-Real Cross-Domain Learning for Object Classification in 3D Point Clouds
Ziwei Wang, Reza Arablouei, Jiajun Liu +3
Object classification using LiDAR 3D point cloud data is critical for modern applications such as autonomous driving. However, labeling point cloud data is labor-intensive as it re…
InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee
Yaxian Li, Bingqing Zhang, Guoping Zhao +4
After a survey for person-tracking system-induced privacy concerns, we propose a black-box adversarial attack method on state-of-the-art human detection models called InvisibiliTee…
Multimodal sensor data fusion for in-situ classification of animal behavior using accelerometry and GNSS data
Reza Arablouei, Ziwei Wang, Greg J. Bishop-Hurley +1
In this paper, we examine the use of data from multiple sensing modes, i.e., accelerometry and global navigation satellite system (GNSS), for classifying animal behavior. We extrac…