<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Action Recognition | Hao Qin</title><link>https://qinbaigao.github.io/tags/action-recognition/</link><atom:link href="https://qinbaigao.github.io/tags/action-recognition/index.xml" rel="self" type="application/rss+xml"/><description>Action Recognition</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 06 Feb 2025 00:00:00 +0000</lastBuildDate><image><url>https://qinbaigao.github.io/media/icon_hu_eee4a95885829ab2.png</url><title>Action Recognition</title><link>https://qinbaigao.github.io/tags/action-recognition/</link></image><item><title>Progressive Semantic Learning for Unsupervised Skeleton-based Action Recognition</title><link>https://qinbaigao.github.io/publications/prosl/</link><pubDate>Thu, 06 Feb 2025 00:00:00 +0000</pubDate><guid>https://qinbaigao.github.io/publications/prosl/</guid><description>&lt;p&gt;ProSL uses cluster-level semantic information to improve self-supervised skeleton representation learning beyond instance-level contrastive objectives.&lt;/p&gt;</description></item><item><title>Self-supervised Representation Learning</title><link>https://qinbaigao.github.io/projects/self-supervised/</link><pubDate>Wed, 01 Mar 2023 00:00:00 +0000</pubDate><guid>https://qinbaigao.github.io/projects/self-supervised/</guid><description>&lt;p&gt;This project studies how semantic structure can improve self-supervised representation learning. Representative works include progressive semantic learning for skeleton-based action recognition and semantic-aware contrastive learning via multi-prompt alignment.&lt;/p&gt;</description></item></channel></rss>