<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Video-Transformers on Noureddine RAMDI</title><link>https://ramdi.fr/tags/video-transformers/</link><description>Recent content in Video-Transformers on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/video-transformers/index.xml" rel="self" type="application/rss+xml"/><item><title>DiT4DiT: Vision-Action Modeling with Video Transformers for Real-Time Humanoid Robot Control</title><link>https://ramdi.fr/github-stars/dit4dit-vision-action-modeling-with-video-transformers-for-real-time-humanoid-robot-control/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/dit4dit-vision-action-modeling-with-video-transformers-for-real-time-humanoid-robot-control/</guid><description>DiT4DiT uses a frozen Cosmos-Predict2.5 video transformer backbone combined with flow-matching action heads to model robot actions as video latent transitions, achieving near-perfect success on LIBERO and real-time humanoid control.</description></item></channel></rss>