<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>https://ecency.com</link><image><url>https://ecency.com/logo512.png</url><title>RSS Feed</title><link>https://ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Sat, 04 Jul 2026 16:38:13 GMT</lastBuildDate><atom:link href="https://ecency.com/created/haze-removal/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Deep joint rain and haze removal from single images]]></title><description><![CDATA[Liang Shen, Zihan Yue, Quan Chen, Fan Feng, Jie Ma (Submitted on 21 Jan 2018) Rain removal from a single image is a challenge which has been studied for a long time. In this paper, a novel convolutional]]></description><link>https://ecency.com/@jungjunghoon/deep-joint-rain-and-haze-removal-from-single-images</link><guid isPermaLink="true">https://ecency.com/@jungjunghoon/deep-joint-rain-and-haze-removal-from-single-images</guid><category><![CDATA[haze-removal]]></category><dc:creator><![CDATA[jungjunghoon]]></dc:creator><pubDate>Sat, 27 Jan 2018 12:06:15 GMT</pubDate><enclosure url="https://i.ecency.com/p/W5LtFUPm6g774G2LPx8CTVHrbGQ778Sw45DBMcdDC1duYjyRppr4vyGnqgxF8WqSXXkE8pydg9mBxGmuDy48v7W3v5K7tkKPTZzbGRGcEYBr62HMWBa36cKHFUkTHoRfDg1JAMgsTnLze4RcgJCBHtAAKWnmL?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>