<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Shuji Oishi | Reon Tabata</title><link>https://reopeo.github.io/authors/shuji-oishi/</link><atom:link href="https://reopeo.github.io/authors/shuji-oishi/index.xml" rel="self" type="application/rss+xml"/><description>Shuji Oishi</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><item><title>Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling</title><link>https://reopeo.github.io/publications/image-pointcloud-registration/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://reopeo.github.io/publications/image-pointcloud-registration/</guid><description>&lt;p&gt;This manuscript proposes converting sparse LiDAR point clouds into dense
point-cloud images with a generative model, enabling image-domain feature
extraction and matching methods to be applied to image-to-point-cloud
registration. The manuscript was under review when the source document was
prepared in May 2026.&lt;/p&gt;</description></item></channel></rss>