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<!DOCTYPE HTML>
<html lang="en">
<head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Boni Hu</title>
<meta name="author" content="Boni Hu">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" type="text/css" href="stylesheet.css">
<link rel="icon" type="image/jpg" href="images/H_icon.jpg">
<link rel="shortcut icon" type="image/jpg" href="/images/favicon.ico">
<link rel="apple-touch-icon" type="image/jpg" href="/images/favicon.ico">
</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>Boni Hu</name>
</p>
<p>I am now a 4th-year PhD (Sep. 2021 - ) student at <a href="https://en.nwpu.edu.cn/">Northwestern Ploytechnical
University</a>, affiliated with the <a href="https://gitee.com/pi-lab/pilab_research_fields"> Pilot Intelligent
Laboratory (PI-LAB)</a> and advised by Prof. <a href="http://www.adv-ci.com/blog/about-me/">Shuhui Bu</a>. Previously,
I obtained my M.Eng (Sep. 2018 - Mar. 2021) in Vehicle Operation Engineering from
<a href="https://en.nwpu.edu.cn/">Northwestern Ploytechnical University</a> and B.Eng (Sep. 2014 - Jun. 2018) in
Electronic and Information Engineering from <a href="https://en.nwsuaf.edu.cn/">Northwestern A&F University</a>.
</p>
<p>My current research mainly focuses on vision representation for remote sensing in place recognition and
geolocalization, as well as its applications in UAV platforms. I am deeply interested in exploring elegant vision
representations of the world, particularly in applications related to unmanned and medical devices. <b><font color="red">I am currently seeking relevant postdoctoral positions </font></b>.
</p>
<p style="text-align:center">
<a href="mailto:[email protected]">Email</a>  / 
<a href="data/resume.pdf">CV</a>  / 
<a href="https://scholar.google.com/citations?user=23gBwAkAAAAJ&hl=en&oi=ao">Google Scholar</a>  / 
<a href="https://github.com/boni-hu">Github</a>  / 
<a href="https://x.com/boni_huuu">Twitter</a>
</p>
</td>
<td style="padding:2.5%;width:40%;max-width:40%">
<a href="images/boni.png"><img style="width:100%;max-width:100%" alt="profile photo" src="images/boni.png" class="hoverZoomLink"></a>
</td>
</tr>
</tbody></table>
<hr>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:10px;width:100%;vertical-align:middle">
<heading>Recent News</heading>
</td>
</tr>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<ul>
<li>[03/2024] One paper accepted to <b>TGRS</b> (IF=8.2) and the code is <a href="https://github.com/boni-hu/CurriculumLoc">released</a>.</li>
</ul>
</td>
</tr>
<tr>
<ul>
<li>[01/2024] One paper accepted to <b>TGRS</b> (IF=8.2).</li>
</ul>
</td>
</tr>
<tr>
<ul>
<li>[07/2023] One paper accepted to <b>National Remote Sensing Bulletin</b>.</li>
</ul>
</td>
</tr>
<tr>
<ul>
<li>[07/2023] One paper accepted to <b>TGRS</b> (IF=8.2).</li>
</ul>
</td>
</tr>
<tr>
<ul>
<li>[01/2021] One paper accepted to <b>ICRA 2021</b>.</li>
</ul>
</td>
</tr>
<tr>
<ul>
<li>[07/2020] One paper accepted to <b>MICCAI 2020</b>.</li>
</ul>
</td>
</tr>
</tbody></table>
<hr>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:10px;width:100%;vertical-align:middle">
<heading>Seleted Publications</heading>
</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:10px;width:100%;vertical-align:middle">
<subheading>Place Recognition/Geolocalization for UAV Platforms</subheading>
</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:35%;vertical-align:middle">
<img src='images/curriculum2024.png' width="250"></div>
</td>
<td width="75%" valign="middle">
<p>
<a href="https://ieeexplore.ieee.org/abstract/document/10477445">
<papertitle>CurriculumLoc: Enhancing Cross-Domain Geolocalization Through Multistage Refinement</papertitle>
</a>
<br>
<strong>Boni Hu</strong>,
<a>Lin Chen</a>,
<a href="https://www.rjchen.site/">Runjian Chen</a>,
<a href="http://www.adv-ci.com/blog/about-me/">Shuhui Bu</a>,
<a>Pengcheng Han</a>,
<a>Haowei Li</a>
<br>
<em>IEEE Transactions on Geoscience and Remote Sensing, 2024</em>
<br>
<a href="https://ieeexplore.ieee.org/abstract/document/10477445">IEEE paper</a>
/
<a href="https://github.com/boni-hu/CurriculumLoc">code</a>
<p>
Inspired by curriculum design, human learn general knowledge first and then delve into professional expertise. We
first recognized semantic scene and then measured geometric structure, involving a delicate design of multistage
refinement pipeline and a novel keypoint detection and description with global semantic awareness and local
geometric verification, resulting in a practical visual geolocalization solution.
</p>
</td>
</tr> <!--boni2024tgrs-->
<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:35%;vertical-align:middle">
<img src='images/yu2023.gif' width="250"></div>
</td>
<td width="75%" valign="middle">
<p>
<a href="https://ieeexplore.ieee.org/document/10177735">
<papertitle>Gcg-net: Graph classification geolocation network</papertitle>
</a>
<br>
<a>Yu Zhang<a>,
<a href="http://www.adv-ci.com/blog/about-me/">Shuhui Bu</a>,
<strong>Boni Hu</strong>,
<a>Pengcheng Han</a>,
<a>Lean Weng</a>,
<a>Shaocheng Xue</a>
<br>
<em>IEEE Transactions on Geoscience and Remote Sensing, 2023</em>
<br>
<a href="https://ieeexplore.ieee.org/document/10177735">IEEE paper</a>
<p>
We designed a graph neural network (GNN) as the feature extraction network, and constructed a training framework
based on image classification with a special data grouping strategy. Results demonstrate the
effectiveness of our approach for UAV visual geolocation, especially for large scale applications.
</p>
</td>
</tr> <!--yu2024tgrs-->
<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:35%;vertical-align:middle">
<img src='images/nrsb2023.png' width="250"></div>
</td>
<td width="75%" valign="middle">
<p>
<a href="https://www.ygxb.ac.cn/zh/article/doi/10.11834/jrs.20232597/">
<papertitle>Real-time dense point cloud generation and digital model construction of surface environment based on UAV platform</papertitle>
</a>
<br>
<strong>Boni Hu</strong>,
<a>Lin Chen</a>,
<a>Bingli Xu</a>,
<a href="http://www.adv-ci.com/blog/about-me/">Shuhui Bu</a>,
<a>Pengcheng Han</a>,
<a>Kun Li</a>,
<a>Zhenyu Xia</a>,
<a>Ni Li</a>,
<a>Ke Li</a>,
<a>Xuefeng Cao</a>,
<a>Gang Wan</a>
<br>
<em>National Remote Sensing Bulletin, 2023</em>
<br>
<a href="https://www.ygxb.ac.cn/zh/article/doi/10.11834/jrs.20232597/">paper</a>
<p>
Our proposed geolocalization method is utilized for dense point cloud generation and digital model construction
to survey washed-out and sediment areas, determining their location and extent accurately.
</p>
</td>
</tr> <!--boni2024nrsb-->
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:10px;width:100%;vertical-align:middle">
<subheading>Change Detection for UAV Platforms</subheading>
</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:35%;vertical-align:middle">
<img src='images/lean2024.gif' width="250"></div>
</td>
<td width="75%" valign="middle">
<p>
<a href="https://ieeexplore.ieee.org/abstract/document/10379022">
<papertitle>MDINet: Multi-Domain Incremental Network for Change Detection</papertitle>
</a>
<br>
<a>Lean Weng<a>,
<a>Wengqing Wang<a>,
<strong>Boni Hu</strong>,
<a>Pengcheng Han</a>,
<a>Shaocheng Xue</a>,
<a>Yu Zhang</a>,
<a>Haowei Li</a>,
<a>Jie Jin</a>
<a href="http://www.adv-ci.com/blog/about-me/">Shuhui Bu</a>
<br>
<em>IEEE Transactions on Geoscience and Remote Sensing, 2024</em>
<br>
<a href="https://ieeexplore.ieee.org/abstract/document/10379022">IEEE paper</a>
<p>
We proposed a domain residual module, CD-DRU, decomposes the feature space into domain-specific and domain-shared
parameters. This effectively mitigates catastrophic forgetting and outperforming existing Incremental Learning
methods and state-of-the-art Change Detection techniques in remote sensing.
</p>
</td>
</tr> <!--lean2024tgrs-->
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:10px;width:100%;vertical-align:middle">
<subheading>3D Reconstruction for Surgical Environment</subheading>
</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:35%;vertical-align:middle">
<img src='images/shuaicolon2021.gif' width="250"></div>
</td>
<td width="75%" valign="middle">
<p>
<a href="https://ieeexplore.ieee.org/abstract/document/9561772">
<papertitle>3D Reconstruction of Deformable Colon Structures based on Preoperative Model and Deep Neural Network
</papertitle>
</a>
<br>
<a href="https://shuaizhang.netlify.app/">Shuai Zhang</a>,
<a href="https://profiles.uts.edu.au/liang.zhao">Liang Zhao</a>,
<a href="https://profiles.uts.edu.au/shoudong.huang">Shoudong Huang</a>,
<a>Ruibin Ma</a>,
<strong>Boni Hu</strong>,
<a>Qi Hao</a>,
<br>
<em>IEEE International Conference on Robotics and Automation (ICRA 2021)</em>
<br>
<a href="https://ieeexplore.ieee.org/abstract/document/9561772">IEEE Paper</a>
<p>
We utilized a preoperative colon model segmented from CT scans together with the colonoscopic images to achieve
the 3D colon reconstruction, including dense depth estimation from monocular colonoscopic images using a deep
neural network.
</p>
</td>
</tr> <!--shuai2021icra-->
<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:35%;vertical-align:middle">
<img src='images/yanhao2020miccai.webp' width="250"></div>
</td>
<td width="75%" valign="middle">
<p>
<a href="https://link.springer.com/chapter/10.1007/978-3-030-59719-1_64">
<papertitle>Deep learning assisted automatic intra-operative 3d aortic deformation reconstruction</papertitle>
</a>
<br>
<a herf="https://sites.google.com/view/yanhaozhang/home">Yanhao Zhang</a>,
<a>Raphael Falque<a>,
<a href="https://profiles.uts.edu.au/liang.zhao">Liang Zhao</a>,
<a href="https://profiles.uts.edu.au/shoudong.huang">Shoudong Huang</a>,
<strong>Boni Hu</strong>,
<br>
<em>Medical Image Computing and Computer Assisted Intervention–MICCAI 2020</em>
<br>
<a href="https://link.springer.com/chapter/10.1007/978-3-030-59719-1_64">Springer paper</a>
<p>
We provided a framework that reconstructed the live 3D aortic shape by fusing a 3D static pre-operative model and
the 2D intra-operative fluoroscopic images.
</p>
</td>
</tr> <!--yaohao2020miccai-->
</tbody></table>
<hr>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:10px;width:100%;vertical-align:middle">
<heading>Services</heading>
</td>
</tr>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<ul>
<li>Reviewer of <b>IEEE Transactions on Geoscience and Remote Sensing</b>, <b>ICPR</b>, <b>ICRA</b>, <b>ECCV</b>, <b>IROS</b>, <b>IEEE Transactions on Circuits and Systems for Video Technology</b>.</li>
</ul>
</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;">This website is adapted from <a href="https://jonbarron.info/">Jon Barron</a></p>
</td>
</tr>
</tbody></table>
</td>
</tr>
<tr style="padding:400px">
<script type="text/javascript" id="clustrmaps" src="//clustrmaps.com/map_v2.js?d=fe_Fj5prprHUlB-eS2c4ljhQBUm091xDDPTJpOVMwvA&cl=ffffff&w=a"></script>
</tr>
</table>
</body>
</html>