<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multimodal AI | Haozhe Lei</title><link>https://panshark.github.io/tags/multimodal-ai/</link><atom:link href="https://panshark.github.io/tags/multimodal-ai/index.xml" rel="self" type="application/rss+xml"/><description>Multimodal AI</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://panshark.github.io/media/icon_hu_702a800cd775dbac.png</url><title>Multimodal AI</title><link>https://panshark.github.io/tags/multimodal-ai/</link></image><item><title>Multimodal Spatial Reasoning &amp; Object Memory</title><link>https://panshark.github.io/projects/multimodal-spatial-reasoning/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://panshark.github.io/projects/multimodal-spatial-reasoning/</guid><description>&lt;p&gt;I am developing lightweight object-centric semantic 3D memory for wearable and embodied spatial intelligence. The system converts sparse egocentric RGB/depth/pose observations into localized object records, so an agent can answer spatial queries without storing or processing every frame as a dense map.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Current pipeline&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Sparse Habitat/HM3D or egocentric exploration with VLM-guided object-category selection.&lt;/li&gt;
&lt;li&gt;YOLO-World detection, NanoSAM masks, DepthPro depth, field-of-view geometry, and visibility-aware object scoring.&lt;/li&gt;
&lt;li&gt;Batched or crop-level object VLM descriptions, CLIP/DINOv3 embeddings, and cross-view association.&lt;/li&gt;
&lt;li&gt;Queryable object records with labels, masks, depth, global coordinates, object-view links, and object-object spatial relations.&lt;/li&gt;
&lt;li&gt;Wearable/robot-side object memory with edge/cloud support for heavier perception, identity consolidation, and prioritized map updates.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Supported tasks&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;View retrieval, object localization, instance clustering, and spatial search.&lt;/li&gt;
&lt;li&gt;Agentic grounding for robots or wearable assistants operating under sensing, power, bandwidth, and compute constraints.&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>