4 citations · 6 across the 9 of their papers we have counts for
10 papers
Unsupervised 3D Human Pose Estimation via Conditional Multi-view Ancestral Sampling
Ryohei Goto, Takuya Fujihashi, Shunsuke Saruwatari +1
We propose a method of estimating a 3D human pose from a single view without 3D supervision. The key to our method is to leverage the 2D diffusion priors of motion diffusion models…
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…
Quantum Implicit Neural Compression
Takuya Fujihashi, Toshiaki Koike-Akino
Signal compression based on implicit neural representation (INR) is an emerging technique to represent multimedia signals with a small number of bits. While INR-based signal compre…
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…
Federated AirNet: Hybrid Digital-Analog Neural Network Transmission for Federated Learning
Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe
A key issue in federated learning over wireless channels is how to exchange a large number of the model parameters via time-varying channels. Two types of solutions based on digita…
Soft Delivery: Survey on A New Paradigm for Wireless and Mobile Multimedia Streaming
Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe
The increasing demand for video streaming services is the key driver of modern wireless and mobile communications. For robust and high-quality delivery of video content over wirele…
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…
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks
Takuya Fujihashi, Toshiaki Koike-Akino, Siheng Chen +1
In typical point cloud delivery, a sender uses octree-based digital video compression to send three-dimensional (3D) points and color attributes over band-limited links. However, t…
HoloCast: Graph Signal Processing for Graceful Point Cloud Delivery
Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe +1
In conventional point cloud delivery, a sender uses octree-based digital video compression to stream three-dimensional (3D) points and the corresponding color attributes over band-…