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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<title>Object Detection Under X-ray Security Inspection Scenario</title>
<!--<link rel="stylesheet" type="text/css" href="/imgs/css" >-->
<link rel="icon" type="image/jpg" href="https://rstao95.github.io/Imgs/buaa_icon.jpg">
</head>
<body>
<table width="800" border="0" align="center" cellspacing="0" cellpadding="0">
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<!--SECTION 1 -->
<!-- <table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
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<td width="68%" valign="middle">
<p align="center"><name>Renshuai Tao (陶仁帅)</name></p>
<p align="justify">I am a PhD student (2019.09-) in the State Key Laboratory of Software Development Environment (SKLSDE)
at <a href="https://www.buaa.edu.cn/">Beihang University</a>,
supervised by Prof. <a href="http://sites.nlsde.buaa.edu.cn/~liwei/">Wei Li</a>
and Prof. <a href="https://xlliu-beihang.github.io/">Xianglong Liu</a>.
I obtained my BSc degree in Computer Science and Engineering from <a href="https://www.buaa.edu.cn/">Beihang University</a> in 2017.
<br><br>
<strong>Email:</strong> rstao [AT] buaa.edu.cn
<br>
</p><p align="center">
<a href="https://github.com/rstao95"> Github </a> /
<a href="https://scholar.google.com/citations?user=IGDmVHsAAAAJ&hl=zh-CN">Google Scholar</a>
</p>
</td>
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<td>
<heading>Object Detection Under X-ray Security Inspection Scenario</heading>
<p align="center">
This is the introduction web of the work for Object Detection under X-ray security inspection scenario done by the research group in the State Key Laboratory of Software Development Environment (SKLSDE)
at <a href="https://www.buaa.edu.cn/">Beihang University</a>. We hope our work can contribute to the community and encourage more researchers to continue to work in this field.
</p>
Our research mainly focuses on:
<ul>
<li>
De-occlusion detection
</li>
<li>
Small object detection
</li>
<li>
Domain adaptation
</li>
<li>
Few-shot detection
</li>
</ul>
<!--</br></br>-->
<!--<span class="highlight"><strong>Internship Position: </strong> If you're interested in ...</span> -->
</td></tr>
</tbody>
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<!--SECTION 3 -->
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tbody><tr>
<td><heading>News</heading>
<p> <strong>[2022.03.02]</strong> One <a herf="https://arxiv.org/abs/2108.09917">paper</a> for cross-domain object detection is accepted by <a href="https://cvpr2022.thecvf.com/">CVPR 2022</a>.
<p> <strong>[2021.12.19]</strong> We hold the "Prohibited Items Detection Under X-ray Security Inspection Scenario" Forum on the <a href="http://2021.prcv.cn/topicforum.html#forum1">4th Chinese Conference on Pattern Recognition and Computer Vision</a>
<p> <strong>[2021.07.23]</strong> One <a href="https://rstao95.github.io/Slides/ICCV_2021.pdf ">paper</a> for object detection is accepted by <a href="http://iccv2021.thecvf.com/">ICCV 2021</a>.
<p> <strong>[2020.07.26]</strong> One <font color="red"><strong>oral</strong></font> <a href="https://dl.acm.org/doi/10.1145/3394171.3413828">paper</a> for De-occlusion X-ray Detection is accepted by <a href="https://2020.acmmm.org/">ACM MM 2020</a>.</p>
</td>
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<!--SECTION 4 -->
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
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<td>
<heading>Selected Papers<a name="publications"></a> |
<a href="https://dig-beihang.github.io.github.io/XrayDetection/publications.html"><font color="grey"><heading>All Publications</heading></font></a>
</heading>
</td>
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<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
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<tr><td width="20%"><img src="./Imgs/CVPR_2022_1.jpg" alt="PontTuset" width="180" style="border-style: none"></td>
<td width="80%" valign="top">
<p><a href="https://arxiv.org/abs/2108.09917">
<papertitle>Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network.</papertitle></a>
[<a href="https://openaccess.thecvf.com/content/CVPR2022/papers/Tao_Exploring_Endogenous_Shift_for_Cross-Domain_Detection_A_Large-Scale_Benchmark_and_CVPR_2022_paper.pdf">PDF</a>]
<br>Renshuai Tao, Hainan Li, Tianbo Wang, Yanlu Wei, Yifu Ding, Bowei Jin, Hongping Zhi, Xianglong Liu, Aishan Liu.
<br>
<em>IEEE/CVF International Conference on Computer Vision and Pattern Recognition(CVPR), CCF-A</em>, 2022
<br>
<a href="https://arxiv.org/abs/2108.09917">arXiv</a> /
<a href="https://github.com/HiXray-author/HiXray"><font color="red">Code</font></a>
<iframe src="https://ghbtns.com/github-btn.html?user=rstao95&repo=BiPointNet&type=star&count=true&size=small"
frameborder="0" scrolling="0" width="100px" height="20px"></iframe>
</p><p></p>
<p align="justify" style="font-size:13px">We first put forward a novel and important type of domain shift in cross-domain detection, the endogenous shift, which may cause severe performance drop but has been rarely studied.</p>
</td>
</tr>
<tr><td width="20%"><img src="./Imgs/ICCV_2021.jpg" alt="PontTuset" width="180" style="border-style: none"></td>
<td width="80%" valign="top">
<p><a href="https://arxiv.org/abs/2108.09917">
<papertitle>Towards Real-world X-ray Security Inspection: A High-Quality Benchmark And Lateral Inhibition Module For Prohibited Items Detection.</papertitle></a>
[<a href="https://arxiv.org/abs/2108.09917">PDF</a>]
<br>Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu.
<br>
<em>IEEE International Conference on Computer Vision (ICCV), CCF-A</em>, 2021
<br>
<a href="https://arxiv.org/abs/2108.09917">arXiv</a> /
<a href="https://github.com/HiXray-author/HiXray"><font color="red">Code</font></a>
<iframe src="https://ghbtns.com/github-btn.html?user=rstao95&repo=BiPointNet&type=star&count=true&size=small"
frameborder="0" scrolling="0" width="100px" height="20px"></iframe>
</p><p></p>
<p align="justify" style="font-size:13px">We present a High-quality X-ray (HiXray) security inspection image dataset and the Lateral Inhibition Module (LIM).</p>
</td>
</tr>
<tr><td width="20%"><img src="./Imgs/CYB.jpg" alt="PontTuset" width="180" style="border-style: none"></td>
<td width="80%" valign="top">
<p><a href="https://arxiv.org/abs/2103.00809">
<papertitle>Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images</papertitle></a>
[<a href="https://arxiv.org/pdf/2103.00809.pdf">PDF</a>]
<br>Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin, Xianglong Liu.
<br>
<em>ArXiv</em>, 2021
<br>
<a href="https://arxiv.org/abs/2103.00809">arXiv</a>/
<a href="https://github.com/OPIXray-author/OPIXray"><font color="red">Code</font></a>
<iframe src="https://ghbtns.com/github-btn.html?user=rstao95&repo=IR-Net&type=star&count=true&size=small"
frameborder="0" scrolling="0" width="100px" height="20px"></iframe>
</p><p></p>
<p align="justify" style="font-size:13px">To better improve occluded X-ray object detection, we further propose an over-sampling de-occlusion attention network (DOAM-O), which consists of a novel de-occlusion attention module and a new over-sampling training strategy.</p>
</td>
</tr>
<tr><td width="20%"><img src="./Imgs/ACMMM2020.jpg" alt="PontTuset" width="180" style="border-style: none"></td>
<td width="80%" valign="top">
<p><a href="https://dl.acm.org/doi/10.1145/3394171.3413828">
<papertitle>Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module.</papertitle></a>
[<a href="https://arxiv.org/pdf/2004.08656.pdf">PDF</a>]
<br>Yanlu Wei, Renshuai Tao, Zhangjie Wu, Yuqing Ma, Libo Zhang, Xianglong Liu.
<br>
<em>ACM Multimedia (ACM MM), CCF-A</em>,<font color="red"><strong style="font-size:13px">Oral</strong></font>, 2020
<br>
<a href="https://arxiv.org/abs/2004.08656">arXiv</a> /
<a href="https://github.com/OPIXray-author/OPIXray"><font color="red">Code</font></a>
<iframe src="https://ghbtns.com/github-btn.html?user=rstao95&repo=BiPointNet&type=star&count=true&size=small"
frameborder="0" scrolling="0" width="100px" height="20px"></iframe>
</p><p></p>
<p align="justify" style="font-size:13px">We contribute the first high-quality object detection dataset for security inspection, named Occluded Prohibited Items X-ray (OPIXray) image benchmark. </p>
</td>
</tr>
</tbody>
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<!--SECTION 6 -->
<!-- <table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
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<td><heading>Honors</heading>
<p> <strong>[2021.09]</strong> National Scholarship (<strong>Top 2%</strong>).</p>
<p> <strong>[2021.01]</strong> Outstanding Postgraduate of Beihang University (<strong>Top 10%</strong>).</p>
<p> <strong>[2020.11]</strong> Merit Student of Beihang University.</p>
<p> <strong>[2020.11]</strong> the First Prize of Excellent Postgraduate Scholarship of Beihang University (<strong>Top 20%</strong>).</p>
<p> <strong>[2019.10]</strong> Beihang Ph.D. Scholarship for Outstanding Freshmen (<strong>Top 10%</strong>).</p>
</td>
</tr></tbody>
</table> -->
<!--SECTION 7 -->
<!-- <table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
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<td><heading>Talks & Academic Services</heading>
<p style="font-size:13px"> <strong>[2021.08]</strong> I am invited to talk about X-ray Object Detection at preparatory meeting of ICCV 2021 in China, hosted by China Society of Image and Graphics. [<a href="https://event.baai.ac.cn/event/162">Video</a>] [<a href="https://rstao95.github.io/Slides/ICCV2021_China.pdf">Slides</a>] </p>
<p style="font-size:13px"> <strong>[2020.10]</strong> I am invited to talk about Object Detection in Complex X-ray Scenario at ACMMM 2021. [<a href="https://dl.acm.org/doi/10.1145/3394171.3413828">Video</a>] </p>
<p style="font-size:13px"> <strong>[2020-]</strong> I regularly review papers for top-tier conferences (ACM MM, AAAI, ...) and journals (Pattern Recognition, Knowledge-based System, ...) in machine learning and computer vision.</p>
</td>
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<!--SECTION 7 -->
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<td><heading>Teaching</heading>
<p> <strong>[Fall 2020]</strong> Teaching Assistant in Machine Learning (Beihang University).</p>
<p> <strong>[Fall 2019]</strong> Teaching Assistant in Machine Learning (Beihang University).</p>
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<!--SECTION 8 -->
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<heading>About Me</heading>
<p align="justify">I am a person who enjoys both academic and life. In my spare time, I like to have dinner with my friends, travel in the suburbs and take photos with my camera. Warmth and purity, love and freedom.
</p>
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