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<!DOCTYPE HTML>
<html lang="en"><head>
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<script>
window.dataLayer = window.dataLayer || [];
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Charig Yang</title>
<meta name="author" content="Charig Yang">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" type="text/css" href="stylesheet.css">
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</head>
<body>
<table style="width:100%;max-width:800px;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr style="padding:0px">
<td style="padding:0px">
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr style="padding:0px">
<td style="padding:2.5%;width:63%;vertical-align:middle">
<p style="text-align:center">
<name>Charig Yang</name>
</p>
<p>I am a fourth (final) year PhD student at the Visual Geometry Group (VGG) at University of Oxford, advised by <a href="https://www.robots.ox.ac.uk/~az/">Andrew Zisserman</a> and <a href="https://weidixie.github.io/">Weidi Xie</a>. I am also interning at <a href="https://about.meta.com/uk/realitylabs/">Meta</a> from June to December 2024, and am expected to graduate by April 2025.
</p>
<p>
I am also part of <a href="https://aims.robots.ox.ac.uk/">Autonomous Intelligent Machines and Systems</a> at University of Oxford, and am generously funded by <a href="https://epsrc.ukri.org/">EPSRC</a> and <a href="https://aims.robots.ox.ac.uk/">AIMS</a>.
</p>
<p>
I did my undergraduate in Engineering Science, also at Oxford. During which, I spent lovely summers at <a href="https://www.jreast.co.jp/e/">Japan Railways</a>, <a href="https://www.metaswitch.com/">Metaswitch</a>, <a href="https://www3.truecorp.co.th/new/">True</a>, <a href="https://www.cpgroupglobal.com/">CP Group</a>, and <a href="https://www.eng.ox.ac.uk/">Oxford’s Engineering Department</a>.
</p>
<p>
Prior to which, I was born and raised in the suburbs of Bangkok, Thailand.
</p>
<p style="text-align:center">
<a href="mailto:[email protected]">Email</a>  / 
<a href="res/cv.pdf">CV</a>  / 
<!--<a href="https://scholar.google.com/citations?hl=en&user=jktWnL8AAAAJ">Google Scholar</a>  / -->
<a href="https://twitter.com/chaaarig">Twitter</a>  / 
<a href="https://github.com/charigyang/">Github</a>  / 
<a href="https://scholar.google.com/citations?user=nsCr3i8AAAAJ&hl=en">Google Scholar</a>
</p>
</td>
<td style="padding:2.5%;width:40%;max-width:40%">
<img style="width:100%;max-width:100%" alt="profile photo" src="res/pp.jpg" class="hoverZoomLink">
</td>
</tr>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:20px;width:100%;vertical-align:middle">
<heading>Research</heading>
<p>
My PhD research explores novel methods in learning and using temporal signals in videos.
I am particularly interested in: video understanding, self-supervised learning, segmentation, and new applications.
</p>
</td>
</tr>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:40px;width:80%;vertical-align:middle">
<a href="https://charigyang.github.io/order/">
<papertitle>Made to Order: Discovering monotonic temporal changes via self-supervised video ordering</papertitle>
</a>
<br>
<strong>Charig Yang</strong>,
<a href="https://weidixie.github.io/">Weidi Xie</a>,
<a href="https://www.robots.ox.ac.uk/~az/">Andrew Zisserman</a>
<br>
<em>ECCV, 2024</em> <font color="red"><strong>(Oral Presentation)</strong></font>
<br>
<a href="https://charigyang.github.io/order/">project page</a> /
<a href="https://arxiv.org/abs/2404.16828">arXiv</a>
<p></p>
<p>Shuffling and ordering sequences reveals changes that are monotonic over time</p>
</td>
</tr>
<tr>
<td style="padding:40px;width:80%;vertical-align:middle">
<a href="https://www.robots.ox.ac.uk/~vgg/research/flowsam/">
<papertitle>Moving Object Segmentation: All You Need Is SAM (and Flow)</papertitle>
</a>
<br>
<a href="https://github.com/Jyxarthur">Junyu Xie</a>,
<strong>Charig Yang</strong>,
<a href="https://weidixie.github.io/">Weidi Xie</a>,
<a href="https://www.robots.ox.ac.uk/~az/">Andrew Zisserman</a>
<br>
<em>ACCV, 2024</em> <font color="red"><strong>(Oral Presentation)</strong></font>
<br>
<a href="https://www.robots.ox.ac.uk/~vgg/research/flowsam/">project page</a> /
<a href="https://arxiv.org/abs/2404.12389">arXiv</a>
<p></p>
<p>SAM + Optical Flow = FlowSAM</p>
</td>
</tr>
<tr>
<td style="padding:40px;width:80%;vertical-align:middle">
<a href="https://charigyang.github.io/abouttime/">
<papertitle>It's About Time: Analog Clock Reading in the Wild</papertitle>
</a>
<br>
<strong>Charig Yang</strong>,
<a href="https://weidixie.github.io/">Weidi Xie</a>,
<a href="https://www.robots.ox.ac.uk/~az/">Andrew Zisserman</a>
<br>
<em>CVPR</em>, 2022
<br>
<a href="https://charigyang.github.io/abouttime/">project page</a> /
<a href="https://arxiv.org/abs/2111.09162">arXiv</a>
<p></p>
<p>We show that neural networks can read analog clocks without manual supervision.</p>
</td>
</tr>
<tr>
<td style="padding:40px;width:80%;vertical-align:middle">
<a href="https://charigyang.github.io/motiongroup/">
<papertitle>Self-supervised Video Object Segmentation by Motion Grouping</papertitle>
</a>
<br>
<strong>Charig Yang</strong>,
<a href="https://twitter.com/hala_lamdouar/">Hala Lamdouar</a>,
<a href="https://erikalu.com/">Erika Lu</a>,
<a href="https://www.robots.ox.ac.uk/~az/">Andrew Zisserman</a>,
<a href="https://weidixie.github.io/">Weidi Xie</a>
<br>
Short: CVPR Workshop on Robust Video Scene Understanding, 2021
<font color="red"><strong>(Best Paper Award)</strong></font> <br>
Full: <em>ICCV</em>, 2021
<br>
<a href="https://charigyang.github.io/motiongroup/">project page</a> /
<a href="https://arxiv.org/abs/2104.07658">arXiv</a>
<p></p>
<p>We use transformers to group independently moving parts into layers, resulting in self-supervised segmentation.</p>
</td>
</tr>
<tr>
<td style="padding:40px;width:80%;vertical-align:middle">
<a href="https://www.robots.ox.ac.uk/~vgg/data/MoCA/">
<papertitle>Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation</papertitle>
</a>
<br>
<a href="https://twitter.com/hala_lamdouar/">Hala Lamdouar</a>,
<strong>Charig Yang</strong>,
<a href="https://weidixie.github.io/">Weidi Xie</a>,
<a href="https://www.robots.ox.ac.uk/~az/">Andrew Zisserman</a>
<br>
<em>ACCV</em>, 2020
<br>
<a href="https://www.robots.ox.ac.uk/~vgg/data/MoCA/">project page</a> /
<a href="https://arxiv.org/abs/2011.11630">arXiv</a>
<p></p>
<p>We consider the task of camouflaged animal discovery and present a large-scale video camouflage dataset.</p>
</td></tr>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:20px;width:100%;vertical-align:middle">
<heading>Teaching</heading>
<p>
2022-23: A2 (second-year) Electronic and Information Engineering, B14 (third-year) Information Engineering Systems, C18 (fourth-year) Computer Vision and Robotics
<br>
2021-22: B14 (third-year) Information Engineering Systems
<br>
2020-21: P2 (first-year) Electronic and Information Engineering, A1 (second-year) Mathematics, C19 (fourth-year) Machine Learning
</p>
<p>
You can find my summary notes for all P and A modules, and some B modules <a href="res/notes.zip">here</a>.
</p>
</td>
</tr>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:0px">
<br>
<p style="text-align:right;font-size:small;">
Template gratefully stolen from <a href="https://jonbarron.info/">here</a>.
</p>
</td>
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</tbody></table>
</td>
</tr>
</table>
</body>
</html>