22 citations · 22 across the 5 of their papers we have counts for
4 papers · 1 filter
Diffusion Models for Radio Map Estimation: Theoretical Performance Analysis and Sampling Rate Guideline
Zhiyuan Liu, Qingyu Liu, Shuhang Zhang +2
Radio maps, which characterize the spatial distribution of radio frequency metrics, such as the received signal strength, are essential for a wide range of wireless applications. T…
RIS-Aided Wireless Amodal Sensing for Single-View 3D Reconstruction
Yuhan Wang, Haobo Zhang, Qingyu Liu +2
Amodal sensing is critical for various real-world sensing applications because it can recover the complete shapes of partially occluded objects in complex environments. Among vario…
A Fine-Grained 3D Radio Map Construction Paradigm with Ultra-Low Sampling Rates by Large Generative Models
Zhiyuan Liu, Qingyu Liu, Shuhang Zhang +2
A radio map captures the spatial distribution of wireless channel parameters, such as the strength of the signal received, across a geographic area. The problem of fine-grained thr…
WiFi-Diffusion: Achieving Fine-Grained WiFi Radio Map Estimation With Ultra-Low Sampling Rate by Diffusion Models
Zhiyuan Liu, Shuhang Zhang, Qingyu Liu +2
Fine-grained radio map presents communication parameters of interest, e.g., received signal strength, at every point across a large geographical region. It can be leveraged to impr…