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Takuya Fujihashi

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…

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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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2023

Soft 2D-to-3D Delivery Using Deep Graph Neural Networks for Holographic-Type Communication

ICASSP 2023accepted

Holographic-type communication, i.e., three-dimensional (3D) content delivery, will be a crucial application for modern wireless and mobile networks. In this paper, we propose a novel soft delivery scheme to realize efficient 3D content delivery. Specifically, the proposed scheme sends a single 2D i…

Cited by 0SourceScholar