<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Paper-Notes on Jiaqi Liu</title><link>https://jiaqiliu.blog/tags/paper-notes/</link><description>Recent content in Paper-Notes on Jiaqi Liu</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Fri, 13 Sep 2019 20:48:09 -0700</lastBuildDate><atom:link href="https://jiaqiliu.blog/tags/paper-notes/index.xml" rel="self" type="application/rss+xml"/><item><title>Cross-season Correspondence Dataset Notes</title><link>https://jiaqiliu.blog/posts/cross-season-correspondence-note/</link><pubDate>Fri, 13 Sep 2019 20:48:09 -0700</pubDate><guid>https://jiaqiliu.blog/posts/cross-season-correspondence-note/</guid><description>Notes on a CVPR 2019 paper that uses cross-season correspondences to train robust semantic segmentation (in Chinese).</description></item><item><title>SPADEnote: Notes on Semantic Image Synthesis</title><link>https://jiaqiliu.blog/posts/spade-note/</link><pubDate>Thu, 12 Sep 2019 12:55:02 -0700</pubDate><guid>https://jiaqiliu.blog/posts/spade-note/</guid><description>Reading notes on NVIDIA&amp;rsquo;s SPADE (GauGAN): semantic image synthesis with spatially-adaptive normalization.</description></item></channel></rss>