<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
	<channel>
		<title>Romain Guesdon on Imagine Team</title>
		<link>https://projet.liris.cnrs.fr/imagine/authors/romain-guesdon/</link>
		<description>Recent content in Romain Guesdon on Imagine Team</description>
		<generator>Hugo</generator>
		<language>en-US</language>
		
		
		
			<copyright>&amp;copy; 2026 IMAGINE team - LIRIS</copyright>
		
		
			<lastBuildDate>Mon, 01 Jan 2024 00:00:00 +0000</lastBuildDate>
		
			<atom:link href="https://projet.liris.cnrs.fr/imagine/authors/romain-guesdon/index.xml" rel="self" type="application/rss+xml" />
			<item>
				<title>Estimation de poses humaines par apprentissage profond : application aux passagers des véhicules autonomes</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/tel-04496865/</link>
				<pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/tel-04496865/</guid>
				<description></description>
			</item>
			<item>
				<title>Estimation de poses humaines par apprentissage profond : application aux passagers des véhicules autonomes</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/tel-04620015/</link>
				<pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/tel-04620015/</guid>
				<description></description>
			</item>
			<item>
				<title>HopInAndAction: a benchmark for action recognition in the cockpit of a self-driving car driving outdoors</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-04844333/</link>
				<pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-04844333/</guid>
				<description></description>
			</item>
			<item>
				<title>A glimpse at the first results of the AutoBehave project: a multidisciplinary approach to evaluate the usage of our travel time in self-driving cars</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-04331707/</link>
				<pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-04331707/</guid>
				<description></description>
			</item>
			<item>
				<title>AutoExp: A multidisciplinary, multi-sensor framework to evaluate human activities in self-driving cars</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-04331629/</link>
				<pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-04331629/</guid>
				<description></description>
			</item>
			<item>
				<title>Synthetic Driver Image Generation for Human Pose-Related Tasks</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-03936401/</link>
				<pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-03936401/</guid>
				<description></description>
			</item>
			<item>
				<title>AutoExp: A multidisciplinary, multi-sensor framework to evaluate the acceptability of self-driving cars</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-03825090/</link>
				<pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-03825090/</guid>
				<description></description>
			</item>
			<item>
				<title>Multitask Metamodel for Keypoint Visibility Prediction in Human Pose Estimation</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-03471147/</link>
				<pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-03471147/</guid>
				<description></description>
			</item>
			<item>
				<title>DriPE: A Dataset for Human Pose Estimation in Real-World Driving Settings</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-03380579/</link>
				<pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-03380579/</guid>
				<description></description>
			</item>
	</channel>
</rss>
