[an error occurred while processing this directive]<meta name="keywords" content="Department of Computer Science, publications, by date, Deep Learning Based Inertial Tracking"></meta><meta name="description" content="Publications, by date,Deep Learning Based Inertial Tracking, Department of Computer Science, Oxford"></meta><title>Department of Computer Science: Deep Learning Based Inertial Tracking: Publications
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			</style>[an error occurred while processing this directive]<div class="content-width"><ol class="breadcrumb text-uppercase"><li><a href="/">Home</a></li><li><a href="/research/">Research</a></li><li><a href="/research/cyberphysical/">Systems</a></li><li><a href="/research/cyberphysical/activities.html">activities</a></li><li><a href="/activities/deepio/">Deep Learning Based Inertial Tracking</a></li><li class="active">Publications</li></ol></div><!-- MOBILE NAVIGATION --><div class="content-width space-below mobile-menu-placeholder visible-xs visible-sm"></div><!-- COLUMNS --><div class="container-fluid content-width"><div class="row"><div class="col-xs-12 col-md-9 col-md-push-3" id="maincontent"><!-- CONTENT (Column 2) --><div class="page-title"><h1>Deep Learning Based Inertial Tracking: Publications
</h1></div><div role="toolbar" class="btn-toolbar"><div class="btn-group"><a href="/activities/publications/date/deepio.html" aria-hidden="true" type="button" class="btn btn-oxford-blue"><span class="glyphicon glyphicon-sort-by-attributes"></span> By date</a><a href="/activities/publications/title/deepio.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-sort-by-attributes"></span> By title</a><a href="/activities/publications/type/deepio.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-sort-by-attributes"></span> By type</a><a href="/activities/publications/bibtex/deepio.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-file"></span> BibTex</a></div></div><ul class="list-unbulleted list-unbulleted-spaced"><li>
	
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	<p class="publicationTitle"> <strong>
            GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks </strong> </p>
	    <p class="publicationAuthors"> <em> Y. Almalioglu M. R. U. Saputra P. P. de Gusmao A. Markham and N. Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE International Conference on Robotics and Automation (ICRA)</em>.
        2019.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12491-abstract.html">
			Details <span class="sr-only" > about <em> GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks  </em></span> </a> |
			<a href="/publications/publication12491.bib">
			BibTeX  <span class="sr-only" > data for <em> GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks  </em></span>   </a>
			
			

				     |
                			<a 
                			    href="http://www.cs.ox.ac.uk/files/10834/GANVO.pdf">Download
					     (pdf)

					    <span class="sr-only" > of <em> GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks  </em></span>

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	<p class="publicationTitle"> <strong>
            MotionTransformer: Transferring Neural Inertial Tracking Between Domains </strong> </p>
	    <p class="publicationAuthors"> <em> Changhao Chen&#x201a; Yishu Miao&#x201a; Chris Xiaoxuan Lu&#x201a; Linhai Xie&#x201a; Phil Blunsom&#x201a; Andrew Markham and Niki Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            The Thirty&#x2212;Third AAAI Conference on Artificial Intelligence (AAAI&#x2212;19)</em>.
        2019.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12244-abstract.html">
			Details <span class="sr-only" > about <em> MotionTransformer: Transferring Neural Inertial Tracking Between Domains  </em></span> </a> |
			<a href="/publications/publication12244.bib">
			BibTeX  <span class="sr-only" > data for <em> MotionTransformer: Transferring Neural Inertial Tracking Between Domains  </em></span>   </a>
			
			

				     |
                			<a 
                			    href="http://www.cs.ox.ac.uk/files/10408/motiontransformer-transferring-neural%20%283%29.pdf">Download
					     (pdf)

					    <span class="sr-only" > of <em> MotionTransformer: Transferring Neural Inertial Tracking Between Domains  </em></span>

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	<p class="publicationTitle"> <strong>
            Transferring Physical Motion Between Domains for Neural Inertial Tracking </strong> </p>
	    <p class="publicationAuthors"> <em> Changhao Chen&#x201a; Yishu Miao&#x201a; Chris Xiaoxuan Lu&#x201a; Phil Blunsom&#x201a; Andrew Markham and Niki Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            NIPS 2018 workshop on Modelling the Physical world: Perception&#x201a; Learning and Control</em>.
        2018.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12188-abstract.html">
			Details <span class="sr-only" > about <em> Transferring Physical Motion Between Domains for Neural Inertial Tracking  </em></span> </a> |
			<a href="/publications/publication12188.bib">
			BibTeX  <span class="sr-only" > data for <em> Transferring Physical Motion Between Domains for Neural Inertial Tracking  </em></span>   </a>
			
			

				     |
                			<a 
                			    href="http://www.cs.ox.ac.uk/files/10167/motiontransformer-learning-inertial%20%284%29.pdf">Download
					     (pdf)

					    <span class="sr-only" > of <em> Transferring Physical Motion Between Domains for Neural Inertial Tracking  </em></span>

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