2 papers
cs.CV2026
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…
cs.CV2025
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,…