← Search

Kohei Matsuzaki

3 accepted papers

2023

Rate-Distortion Optimized Variable-Node-size Trisoup for Point Cloud Coding

ICASSP 2023accepted

Triangle soup (Trisoup) is being studied as a new coding tool for Geometry-based Point Cloud Compression (G-PCC) stan-dardized in the Moving Picture Experts Group (MPEG). Outside of MPEG, a variable-node-size extension of Trisoup is studied to increase the flexibility of G-PCC. A primary advantage o…

Cited by 2SourceScholar
2019

Representation Learning via Parallel Subset Reconstruction for 3D Point Cloud Generation

IROS 2019poster

Three-dimensional (3D) point cloud processing has attracted a great deal of attention in computer vision, robotics, and the machine learning community because of significant progress in deep neural networks on 3D data. Another trend in the community is learning of generative models based on generati…

Cited by 1SourceScholar