<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GUAN CONG</title><link>https://teiboku.github.io/en/</link><description>Recent content on GUAN CONG</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Sat, 18 Oct 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://teiboku.github.io/en/index.xml" rel="self" type="application/rss+xml"/><item><title>Pattern Recognition: CLIP-driven rain perception: Adaptive deraining with pattern-aware network routing and mask-guided cross-attention</title><link>https://teiboku.github.io/en/projects/1760784774221-clip%E3%81%AB%E5%9F%BA%E3%81%A5%E3%81%8F%E9%9B%A8%E6%B0%B4%E3%83%91%E3%82%BF%E3%83%BC%E3%83%B3%E8%AA%8D%E8%AD%98%E3%81%AB%E3%82%88%E3%82%8B%E7%94%BB%E5%83%8F%E9%99%A4%E9%9B%A8%E3%83%A2%E3%83%87%E3%83%AB/</link><pubDate>Sat, 18 Oct 2025 00:00:00 +0000</pubDate><guid>https://teiboku.github.io/en/projects/1760784774221-clip%E3%81%AB%E5%9F%BA%E3%81%A5%E3%81%8F%E9%9B%A8%E6%B0%B4%E3%83%91%E3%82%BF%E3%83%BC%E3%83%B3%E8%AA%8D%E8%AD%98%E3%81%AB%E3%82%88%E3%82%8B%E7%94%BB%E5%83%8F%E9%99%A4%E9%9B%A8%E3%83%A2%E3%83%87%E3%83%AB/</guid><description>A deraining model using CLIP for automatic routing.</description></item><item><title>WACV 2026: DM3Net: Dual-Camera Super-Resolution via Domain Modulation and Multi-scale Matching</title><link>https://teiboku.github.io/en/projects/1760786004876-%E3%83%87%E3%83%A5%E3%82%A2%E3%83%AB%E3%82%AB%E3%83%A1%E3%83%A9%E7%94%BB%E5%83%8F%E3%81%AB%E5%AF%BE%E3%81%99%E3%82%8B%E8%B6%85%E8%A7%A3%E5%83%8F%E6%89%8B%E6%B3%95/</link><pubDate>Sat, 18 Oct 2025 00:00:00 +0000</pubDate><guid>https://teiboku.github.io/en/projects/1760786004876-%E3%83%87%E3%83%A5%E3%82%A2%E3%83%AB%E3%82%AB%E3%83%A1%E3%83%A9%E7%94%BB%E5%83%8F%E3%81%AB%E5%AF%BE%E3%81%99%E3%82%8B%E8%B6%85%E8%A7%A3%E5%83%8F%E6%89%8B%E6%B3%95/</guid><description>Introduction to DM³Net, a high-definition image generation technology utilizing smartphone dual cameras</description></item><item><title>Resume</title><link>https://teiboku.github.io/en/resume/</link><pubDate>Mon, 15 Sep 2025 00:00:00 +0000</pubDate><guid>https://teiboku.github.io/en/resume/</guid><description>&lt;iframe
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&lt;p>DSLR cameras can achieve various zoom levels by changing the lens distance or swapping lens types. However, due to space constraints, these techniques are not feasible on mobile devices. Most smartphones adopt a &lt;strong>hybrid zoom system&lt;/strong>: typically using a wide-angle (W) camera for low zoom levels and a telephoto (T) camera for high zoom levels. To simulate zoom levels between W and T, these systems crop and digitally enlarge images from W, resulting in significant detail loss. In this paper, we propose an efficient hybrid zoom super-resolution system for mobile devices. This system captures &lt;strong>synchronized W and T image pairs&lt;/strong> and &lt;strong>utilizes a machine learning model to align and transfer details from T to W&lt;/strong>. We further develop an &lt;strong>adaptive blending method&lt;/strong> that can handle &lt;strong>depth of field mismatches, scene occlusions, motion uncertainties, and alignment errors&lt;/strong>. To minimize domain differences, we design a dual smartphone camera setup to capture real scene inputs and real label data for supervised training. In extensive evaluations on real scenes, our method can generate 12-megapixel images on mobile platforms in 500 milliseconds, achieving TA.&lt;/p></description></item><item><title>Two Phase Neural Sparse Search On AWS OpenSearch</title><link>https://teiboku.github.io/en/projects/1736922318122-neural-sparse-search-on-aws-opensearch/</link><pubDate>Wed, 15 Jan 2025 00:00:00 +0000</pubDate><guid>https://teiboku.github.io/en/projects/1736922318122-neural-sparse-search-on-aws-opensearch/</guid><description>A speed up algorithm for AWS OpenSearch Neural Sparse Search</description></item><item><title>D5 Render-Rhino Sync Plugin</title><link>https://teiboku.github.io/en/projects/1735963425218-d5-render-rhino-sync-plugin/</link><pubDate>Sat, 04 Jan 2025 00:00:00 +0000</pubDate><guid>https://teiboku.github.io/en/projects/1735963425218-d5-render-rhino-sync-plugin/</guid><description>A rapid plugin for D5 Render-Rhino.</description></item></channel></rss>