91 citations · 389 across the 28 of their papers we have counts for
12 papers · 1 filter
RAPTR: Radar-based 3D Pose Estimation using Transformer
Sorachi Kato, Ryoma Yataka, Pu Perry Wang +3
Radar-based indoor 3D human pose estimation typically relied on fine-grained 3D keypoint labels, which are costly to obtain especially in complex indoor settings involving clutter,…
REXO: Indoor Multi-View Radar Object Detection via 3D Bounding Box Diffusion
Ryoma Yataka, Pu Perry Wang, Petros Boufounos +1
Multi-view indoor radar perception has drawn attention due to its cost-effectiveness and low privacy risks. Existing methods often rely on {implicit} cross-view radar feature assoc…
SIRA: Scalable Inter-frame Relation and Association for Radar Perception
Ryoma Yataka, Pu Perry Wang, Petros Boufounos +1
Conventional radar feature extraction faces limitations due to low spatial resolution, noise, multipath reflection, the presence of ghost targets, and motion blur. Such limitations…
RETR: Multi-View Radar Detection Transformer for Indoor Perception
Ryoma Yataka, Adriano Cardace, Pu Perry Wang +2
Indoor radar perception has seen rising interest due to affordable costs driven by emerging automotive imaging radar developments and the benefits of reduced privacy concerns and r…
MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception
M. Mahbubur Rahman, Ryoma Yataka, Sorachi Kato +4
Compared with an extensive list of automotive radar datasets that support autonomous driving, indoor radar datasets are scarce at a smaller scale in the format of low-resolution ra…
Fast and High-Quality Blind Multi-Spectral Image Pansharpening
Lantao Yu, Dehong Liu, Hassan Mansour +1
Blind pansharpening addresses the problem of generating a high spatial-resolution multi-spectral (HRMS) image given a low spatial-resolution multi-spectral (LRMS) image with the gu…