46 citations · 95 across the 13 of their papers we have counts for
9 papers · 1 filter
AV-PedAware: Self-Supervised Audio-Visual Fusion for Dynamic Pedestrian Awareness
Yizhuo Yang, Shenghai Yuan, Muqing Cao +2
In this study, we introduce AV-PedAware, a self-supervised audio-visual fusion system designed to improve dynamic pedestrian awareness for robotics applications. Pedestrian awarene…
A Trustworthy AIoT-enabled Localization System via Federated Learning and Blockchain
Junfei Wang, He Huang, Jingze Feng +3
There is a significant demand for indoor localization technology in smart buildings, and the most promising solution in this field is using RF sensors and fingerprinting-based meth…
Salient Sparse Visual Odometry With Pose-Only Supervision
Siyu Chen, Kangcheng Liu, Chen Wang +3
Visual Odometry (VO) is vital for the navigation of autonomous systems, providing accurate position and orientation estimates at reasonable costs. While traditional VO methods exce…
PowerSkel: A Device-Free Framework Using CSI Signal for Human Skeleton Estimation in Power Station
Cunyi Yin, Xiren Miao, Jing Chen +5
Safety monitoring of power operations in power stations is crucial for preventing accidents and ensuring stable power supply. However, conventional methods such as wearable devices…
Diffusion Model is a Good Pose Estimator from 3D RF-Vision
Junqiao Fan, Jianfei Yang, Yuecong Xu +1
Human pose estimation (HPE) from Radio Frequency vision (RF-vision) performs human sensing using RF signals that penetrate obstacles without revealing privacy (e.g., facial informa…
Interactive Test-Time Adaptation with Reliable Spatial-Temporal Voxels for Multi-Modal Segmentation
Haozhi Cao, Yuecong Xu, Pengyu Yin +4
Multi-modal test-time adaptation (MM-TTA) adapts models to an unlabeled target domain by leveraging the complementary multi-modal inputs in an online manner. While previous MM-TTA…
T3DNet: Compressing Point Cloud Models for Lightweight 3D Recognition
Zhiyuan Yang, Yunjiao Zhou, Lihua Xie +1
3D point cloud has been widely used in many mobile application scenarios, including autonomous driving and 3D sensing on mobile devices. However, existing 3D point cloud models ten…
MaskFi: Unsupervised Learning of WiFi and Vision Representations for Multimodal Human Activity Recognition
Jianfei Yang, Shijie Tang, Yuecong Xu +2
Human activity recognition (HAR) has been playing an increasingly important role in various domains such as healthcare, security monitoring, and metaverse gaming. Though numerous H…
MMAUD: A Comprehensive Multi-Modal Anti-UAV Dataset for Modern Miniature Drone Threats
Shenghai Yuan, Yizhuo Yang, Thien Hoang Nguyen +6
In response to the evolving challenges posed by small unmanned aerial vehicles (UAVs), which possess the potential to transport harmful payloads or independently cause damage, we i…