activity
20212025
most citedESP-PCT: Enhanced VR Semantic Performance through Efficient Compression of Temporal and Spatial Redundancies in Point Cloud Transformers

8 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025★ 2 cited

Exploring Spatial-Temporal Representation via Star Graph for mmWave Radar-based Human Activity Recognition

Senhao Gao, Junqing Zhang, Luoyu Mei +2

Human activity recognition (HAR) requires extracting accurate spatial-temporal features with human movements. A mmWave radar point cloud-based HAR system suffers from sparsity and…

cs.CR2024

mmSpyVR: Exploiting mmWave Radar for Penetrating Obstacles to Uncover Privacy Vulnerability of Virtual Reality

Luoyu Mei, Ruofeng Liu, Zhimeng Yin +5

Virtual reality (VR), while enhancing user experiences, introduces significant privacy risks. This paper reveals a novel vulnerability in VR systems that allows attackers to captur…

cs.CV2024★ 8 cited

ESP-PCT: Enhanced VR Semantic Performance through Efficient Compression of Temporal and Spatial Redundancies in Point Cloud Transformers

Luoyu Mei, Shuai Wang, Yun Cheng +4

Semantic recognition is pivotal in virtual reality (VR) applications, enabling immersive and interactive experiences. A promising approach is utilizing millimeter-wave (mmWave) sig…

cs.CV2023

Human Semantic Segmentation using Millimeter-Wave Radar Sparse Point Clouds

Pengfei Song, Luoyu Mei, Han Cheng

This paper presents a framework for semantic segmentation on sparse sequential point clouds of millimeter-wave radar. Compared with cameras and lidars, millimeter-wave radars have…

cs.NI2021

ECCR: Edge-Cloud Collaborative Recovery for Low-Power Wide-Area Networks interference mitigation

Luoyu Mei, Zhimeng Yin, Xiaolei Zhou +2

Recent advances in Low-Power Wide-Area Networks have mitigated interference by using cloud assistance. Those methods transmit the RSSI samples and corrupted packets to the cloud to…