<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Paper-Conference | AIM Lab</title><link>https://44cf2a44.aimlab-site.pages.dev/publication-type/paper-conference/</link><atom:link href="https://44cf2a44.aimlab-site.pages.dev/publication-type/paper-conference/index.xml" rel="self" type="application/rss+xml"/><description>Paper-Conference</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>ko</language><copyright>© 2026 AIM Lab @ CNU</copyright><lastBuildDate>Thu, 25 Apr 2024 00:00:00 +0000</lastBuildDate><image><url>https://44cf2a44.aimlab-site.pages.dev/media/logo_huc16f2118f542bcc743bf48df77f289d2_60706_300x300_fit_lanczos_3.png</url><title>Paper-Conference</title><link>https://44cf2a44.aimlab-site.pages.dev/publication-type/paper-conference/</link></image><item><title>LiDAR-guided Omni-Directional Depth Estimation with Self-Supervised Learning based on Sensor Fusion</title><link>https://44cf2a44.aimlab-site.pages.dev/publication/seo-2024-evs37/</link><pubDate>Thu, 25 Apr 2024 00:00:00 +0000</pubDate><guid>https://44cf2a44.aimlab-site.pages.dev/publication/seo-2024-evs37/</guid><description/></item></channel></rss>