1 citations · 1 across the 4 of their papers we have counts for
4 papers
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping
Bang An, Xun Zhou, Zirui Zhou +3
The problem of forecasting spatiotemporal events such as crimes and accidents is crucial to public safety and city management. Besides accuracy, interpretability is also a key requ…
t-READi: Transformer-Powered Robust and Efficient Multimodal Inference for Autonomous Driving
Pengfei Hu, Yuhang Qian, Tianyue Zheng +5
Given the wide adoption of multimodal sensors (e.g., camera, lidar, radar) by autonomous vehicles (AVs), deep analytics to fuse their outputs for a robust perception become imperat…
OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision
Shujie Zhang, Tianyue Zheng, Zhe Chen +4
Hand Pose Estimation (HPE) is crucial to many applications, but conventional cameras-based CM-HPE methods are completely subject to Line-of-Sight (LoS), as cameras cannot capture o…
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving
Tianyue Zheng, Ang Li, Zhe Chen +2
Object detection with on-board sensors (e.g., lidar, radar, and camera) play a crucial role in autonomous driving (AD), and these sensors complement each other in modalities. While…