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Sorachi Kato

4 accepted papers

2025

RAPTR: Radar-based 3D Pose Estimation using Transformer

NeurIPS 2025poster

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, occlusions, or multiple people. In this paper, we propose \textbf{RAPTR} (RAdar Pose esTimation using tRansformer) unde…

Cited by 0SourcecodeScholar
2024

Implicit Neural Representation For Low-Overhead Graph-Based Holographic-Type Communications

ICASSP 2024accepted

Point cloud delivery over wireless and mobile channels will be a key technology for untethered users to realize extended reality via wireless and mobile terminals. A key challenge of point cloud delivery is efficiently delivering the point cloud over unstable and band-limited channels. Graph Fourier…

Cited by 0SourceScholar
2024

MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception

ECCV 2024poster

"∗ : Equal contribution. † : The work of M. Rahman (Univ. of Alabama, USA), S. Kato (Osaka Univ., Japan), P. Li (Brandeis Univ., USA), and A. Cardace (Univ. of Bologna, Italy) was done during their internship at MERL. ♯ : The work was done as a visiting scientist from Mitsubishi Electric Corporation…

2024

Object Trajectory Estimation with Multi-Band Wi-Fi Neural Dynamic Fusion

ICASSP 2024accepted

In contrast to existing multi-band Wi-Fi fusion in a frame-to-frame basis for simple classification, this paper considers asynchronous sequence-to-sequence fusion between sub-7GHz channel state information (CSI) and 60GHz beam SNR for more challenging downstream tasks such as continuous regression.…

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