<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Kijung Lee | 안성현</title><link>https://skiddieahn.github.io/ko/authors/kijung-lee/</link><atom:link href="https://skiddieahn.github.io/ko/authors/kijung-lee/index.xml" rel="self" type="application/rss+xml"/><description>Kijung Lee</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>ko-kr</language><lastBuildDate>Sun, 01 Feb 2026 00:00:00 +0000</lastBuildDate><image><url>https://skiddieahn.github.io/images/icon_huf1b7dbdf264b64ccae67ec7e89477a75_22677_512x512_fill_lanczos_center_3.png</url><title>Kijung Lee</title><link>https://skiddieahn.github.io/ko/authors/kijung-lee/</link></image><item><title>GranQ: Efficient Channel-wise Quantization via Vectorized Pre-Scaling for Zero-Shot QAT</title><link>https://skiddieahn.github.io/ko/publication/sac2026-granq/</link><pubDate>Sun, 01 Feb 2026 00:00:00 +0000</pubDate><guid>https://skiddieahn.github.io/ko/publication/sac2026-granq/</guid><description/></item><item><title>AnyAnomaly: Zero-shot Customizable Video Anomaly Detection with LVLM</title><link>https://skiddieahn.github.io/ko/publication/wacv2026-anyanomaly/</link><pubDate>Thu, 15 Jan 2026 00:00:00 +0000</pubDate><guid>https://skiddieahn.github.io/ko/publication/wacv2026-anyanomaly/</guid><description/></item><item><title>Unified Video Anomaly Detection Model for Detecting Different Anomaly Types</title><link>https://skiddieahn.github.io/ko/publication/wacv2026-unified/</link><pubDate>Thu, 15 Jan 2026 00:00:00 +0000</pubDate><guid>https://skiddieahn.github.io/ko/publication/wacv2026-unified/</guid><description/></item><item><title>MDVAD: Multimodal Diffusion for Video Anomaly Detection</title><link>https://skiddieahn.github.io/ko/publication/pakdd-2025-mdvad/</link><pubDate>Thu, 01 May 2025 00:00:00 +0000</pubDate><guid>https://skiddieahn.github.io/ko/publication/pakdd-2025-mdvad/</guid><description/></item><item><title>VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection</title><link>https://skiddieahn.github.io/ko/publication/accv2024-videopatchcore/</link><pubDate>Fri, 01 Nov 2024 00:00:00 +0000</pubDate><guid>https://skiddieahn.github.io/ko/publication/accv2024-videopatchcore/</guid><description/></item></channel></rss>