<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Morui Zhu</title><description>Personal academic homepage and blog of Morui Zhu, PhD student in Computer Science at the University of North Texas, researching cooperative autonomous driving, 3D vision, and spatial intelligence.</description><link>https://zhumorui.github.io/</link><item><title>Real-Time Aurora Borealis Simulation with WebGPU + Three.js</title><link>https://zhumorui.github.io/posts/aurora-webgpu-simulation/</link><guid isPermaLink="true">https://zhumorui.github.io/posts/aurora-webgpu-simulation/</guid><description>A physically-grounded, real-time aurora simulation running entirely in the browser — WebGPU volume raymarching with Three.js TSL, no backend required. Try the interactive demo below.</description><pubDate>Sun, 05 Jul 2026 00:00:00 GMT</pubDate></item><item><title>[Publication] Mind the Hitch: Dynamic Calibration and Articulated Perception for Autonomous Trucks</title><link>https://zhumorui.github.io/publications/2026-mind-the-hitch/</link><guid isPermaLink="true">https://zhumorui.github.io/publications/2026-mind-the-hitch/</guid><description>dCAP: a vision-based framework that continuously estimates the 6-DoF relative pose between tractor and trailer cameras, plus the STT4AT benchmark for articulated trucks.</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate></item><item><title>[Publication] M³CAD: Towards Generic Cooperative Autonomous Driving Benchmark</title><link>https://zhumorui.github.io/publications/2026-m3cad/</link><guid isPermaLink="true">https://zhumorui.github.io/publications/2026-m3cad/</guid><description>A generic benchmark for cooperative autonomous driving supporting multi-vehicle, multi-modal, and multi-task evaluation.</description><pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate></item><item><title>[Publication] From Features to Reference Points: Lightweight and Adaptive Fusion for Cooperative Autonomous Driving</title><link>https://zhumorui.github.io/publications/2025-refptsfusion/</link><guid isPermaLink="true">https://zhumorui.github.io/publications/2025-refptsfusion/</guid><description>A lightweight and adaptive reference-point-based fusion approach for cooperative autonomous driving.</description><pubDate>Sat, 01 Nov 2025 00:00:00 GMT</pubDate></item><item><title>VGGT: Visual Geometry Grounded Transformer (CVPR 2025 Best Paper Award)</title><link>https://zhumorui.github.io/posts/vggt-visual-geometry-grounded-transformer/</link><guid isPermaLink="true">https://zhumorui.github.io/posts/vggt-visual-geometry-grounded-transformer/</guid><description>In the past, 3D reconstruction mostly relied on Structure-from-Motion (SfM) and other mathematical methods. VGGT changes that.</description><pubDate>Sun, 21 Sep 2025 00:00:00 GMT</pubDate></item><item><title>[Publication] Investigating Crowdsourced Neural Radiance Maps for Autonomous Vehicles</title><link>https://zhumorui.github.io/publications/2023-crowdsourced-nerf/</link><guid isPermaLink="true">https://zhumorui.github.io/publications/2023-crowdsourced-nerf/</guid><description>Investigating the use of crowdsourced neural radiance fields (NeRF) as maps for autonomous vehicles.</description><pubDate>Sun, 01 Oct 2023 00:00:00 GMT</pubDate></item><item><title>[Publication] A Global Multi-Temporal Dataset with STGAN Baseline for Cloud and Cloud Shadow Removal</title><link>https://zhumorui.github.io/publications/2023-stgan-cloud-removal/</link><guid isPermaLink="true">https://zhumorui.github.io/publications/2023-stgan-cloud-removal/</guid><description>A global multi-temporal satellite dataset with an STGAN baseline for cloud and cloud shadow removal.</description><pubDate>Thu, 01 Jun 2023 00:00:00 GMT</pubDate></item><item><title>[Publication] Process Monitoring and End-Point Identification of Unattended Liquid Phase Separation Based on Edge Detection</title><link>https://zhumorui.github.io/publications/2023-liquid-phase-separation/</link><guid isPermaLink="true">https://zhumorui.github.io/publications/2023-liquid-phase-separation/</guid><description>Edge-detection-based process monitoring and end-point identification for unattended liquid phase separation.</description><pubDate>Sat, 01 Apr 2023 00:00:00 GMT</pubDate></item></channel></rss>