5 papers
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,…
Range Image-Based Implicit Neural Compression for LiDAR Point Clouds
Akihiro Kuwabara, Sorachi Kato, Toshiaki Koike-Akino +1
This paper presents a novel scheme to efficiently compress Light Detection and Ranging~(LiDAR) point clouds, enabling high-precision 3D scene archives, and such archives pave the w…
Multi-Band Wi-Fi Neural Dynamic Fusion
Sorachi Kato, Pu Perry Wang, Toshiaki Koike-Akino +3
Wi-Fi channel measurements across different bands, e.g., sub-7-GHz and 60-GHz bands, are asynchronous due to the uncoordinated nature of distinct standards protocols, e.g., 802.11a…
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…
CSI2Image: Image Reconstruction from Channel State Information Using Generative Adversarial Networks
Sorachi Kato, Takeru Fukushima, Tomoki Murakami +5
This study aims to find the upper limit of the wireless sensing capability of acquiring physical space information. This is a challenging objective, because at present, wireless se…