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<!DOCTYPE HTML>
<html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<!-- Hi, Jon Here. Please DELETE the two <script> tags below if you use this HTML, otherwise my analytics will track your page -->
<!-- Global site tag (gtag.js) - Google Analytics -->
<!-- <script async src="https://www.googletagmanager.com/gtag/js?id=UA-7580334-2"></script> -->
<!-- <script type="text/javascript" src="js/hidebib.js"></script> -->
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'UA-7580334-2');
</script>
<title>Qihang Yu</title>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css">
<meta name="author" content="Qihang Yu">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" type="text/css" href="stylesheet.css">
<link rel="stylesheet" type="text/css" href="css/style.css">
<link rel="icon" type="image/png" href="images/JHU_icon.jpg">
</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>Qihang Yu</name>
</p>
<p>I am a Research Scientist at ByteDance / TikTok. Previously, I received my Ph.D. degree from <a href="https://www.cs.jhu.edu/">Computer Science</a> department at <a href="https://www.jhu.edu/">Johns Hopkins University</a>, advised by <a href="https://en.wikipedia.org/wiki/Bloomberg_Distinguished_Professorships">Bloomberg Distinguished Professor</a> <a href="http://www.cs.jhu.edu/~ayuille/"><b>Dr. Alan Yuille</b></a>. I am a member of <a href="http://ccvl.jhu.edu/">Computational Cognition, Vision, and Learning</a>.
</p>
<p>Before that, I obtained B.S. in Computer Science at <a href="https://www.pku.edu.cn">Peking University</a> in 2018.
</p>
<p style="text-align:center">
<a href="mailto:[email protected]">Email</a>  / 
<a href="https://scholar.google.com/citations?user=7zZdZxsAAAAJ&hl=en">Google Scholar</a>
</p>
</td>
<td style="padding:2.5%;width:40%;max-width:40%">
<a href="images/QihangYu.jpg"><img style="width:100%;max-width:100%;border-radius:50%" alt="profile photo" src="images/QihangYu.jpg" class="hoverZoomLink"></a>
</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>News</heading>
<ul>
<li>1 paper accepted to <b>ECCV 2024</b></li>
<li>2 paper accepted to <b>CVPR 2024</b></li>
<li>2 paper accepted to <b>NeurIPS 2023</b></li>
<li>1 paper accepted to <b>WACV 2024</b> as <b>Oral</b></li>
<li>1 paper accepted to <b>ICCV 2023</b></li>
<li>1 paper accepted to <b>CVPR 2023</b></li>
<li>1 paper accepted to <b>ICLR 2023</b></li>
<li>2 paper accepted to <b>ECCV 2022</b></li>
<li>2 paper accepted to <b>CVPR 2022</b>, with one as <b>Oral</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:20px;width:100%;vertical-align:middle">
<heading>Research</heading>
<p>
My research lies in generative modeling, multi-modality, and machine perception. For full list of my publications, please refer to my <a href="https://scholar.google.com/citations?user=7zZdZxsAAAAJ&hl=en">Google Scholar</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 class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/yu2024an.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2406.07550">
<papertitle>An Image is Worth 32 Tokens for Reconstruction and Generation</papertitle>
</a>
<br>
<strong>Qihang Yu*</strong>,
Mark Weber*,
Xueqing Deng,
Xiaohui Shen,
Daniel Cremers,
Liang-Chieh Chen
<br>
<em>Tech report</em>, arXiv
<br>
</p>
<div class="paper" id="yu2024an">
<a href="https://arxiv.org/pdf/2406.07550">paper</a>  / 
<a href="https://yucornetto.github.io/projects/titok.html">project page</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/yu2023fcclip.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://browse.arxiv.org/pdf/2308.02487.pdf">
<papertitle>Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP</papertitle>
</a>
<br>
<strong>Qihang Yu</strong>,
Ju He,
Xueqing Deng,
Xiaohui Shen,
Liang-Chieh Chen
<br>
<em>NeurIPS</em>, 2023
<br>
</p>
<div class="paper" id="yu2023fcclip">
<a href="https://browse.arxiv.org/pdf/2308.02487.pdf">paper</a>  / 
<a href="https://github.com/bytedance/fc-clip">project page</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/sun2023remax.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://browse.arxiv.org/pdf/2306.17319.pdf">
<papertitle>ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation</papertitle>
</a>
<br>
Shuyang Sun,
Weijun Wang,
<strong>Qihang Yu</strong>,
Andrew Howard,
Philip Torr,
Liang-Chieh Chen
<br>
<em>NeurIPS</em>, 2023
<br>
</p>
<div class="paper" id="sun2023remax">
<a href="https://browse.arxiv.org/pdf/2306.17319.pdf">paper</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/chen2023towards.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://browse.arxiv.org/pdf/2301.12291.pdf">
<papertitle>Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans</papertitle>
</a>
<br>
Jieneng Chen,
Yingda Xia,
Jiawen Yao,
Ke Yan,
Jianpeng Zhang,
Le Lu,
Fakai Wang,
Bo Zhou,
Mingyan Qiu,
<strong>Qihang Yu</strong>,
Mingze Yuan,
Wei Fang,
Yuxing Tang,
Minfeng Xu,
Jian Zhou,
Yuqian Zhao,
Qifeng Wang,
Xianghua Ye,
Xiaoli Yin,
Yu Shi,
Xin Chen,
Jingren Zhou,
Alan Yuille,
Zaiyi Liu,
Ling Zhang
<br>
<em>ICCV</em>, 2023
<br>
</p>
<div class="paper" id="chen2023towards">
<a href="https://browse.arxiv.org/pdf/2301.12291.pdf">paper</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/shin2023videokmax.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://browse.arxiv.org/pdf/2304.04694.pdf">
<papertitle>Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation</papertitle>
</a>
<br>
Inkyu Shin,
Dahun Kim,
<strong>Qihang Yu</strong>,
Jun Xie,
Hong-Seok Kim,
Bradley Green,
In So Kweon,
Kuk-Jin Yoon,
Liang-Chieh Chen
<br>
<em>WACV</em>, 2024 <strong>Oral</strong>
<br>
</p>
<div class="paper" id="shin2023videokmax">
<a href="https://browse.arxiv.org/pdf/2304.04694.pdf">paper</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/beyer2023study.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://browse.arxiv.org/pdf/2303.17376.pdf">
<papertitle>A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision</papertitle>
</a>
<br>
Lucas Beyer,
Bo Wan,
Gagan Madan,
Filip Pavetic,
Andreas Steiner,
Alexander Kolesnikov,
Andre Susano Pinto,
Emanuele Bugliarello,
Xiao Wang,
<strong>Qihang Yu</strong>,
Liang-Chieh Chen,
Xiaohua Zhai
<br>
<em>Tech report</em>, arXiv
<br>
</p>
<div class="paper" id="beyer2023study">
<a href="https://browse.arxiv.org/pdf/2303.17376.pdf">paper</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/ju2023compositor.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://browse.arxiv.org/pdf/2306.07404.pdf">
<papertitle>Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation</papertitle>
</a>
<br>
Ju He,
Jieneng Chen,
Ming-Xian Lin,
<strong>Qihang Yu</strong>,
Alan Yuille
<br>
<em>CVPR</em>, 2023
<br>
</p>
<div class="paper" id="ju2023compositor">
<a href="https://browse.arxiv.org/pdf/2306.07404.pdf">paper</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/yang2023moat.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://browse.arxiv.org/pdf/2210.01820.pdf">
<papertitle>MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models</papertitle>
</a>
<br>
Chenglin Yang,
Siyuan Qiao,
<strong>Qihang Yu</strong>,
Xiaoding Yuan,
Yukun Zhu,
Alan Yuille,
Hartwig Adam,
Liang-Chieh Chen
<br>
<em>ICLR</em>, 2023
<br>
</p>
<div class="paper" id="yang2023moat">
<a href="https://arxiv.org/pdf/2210.01820.pdf">paper</a>  / 
<a href="https://github.com/google-research/deeplab2/blob/main/g3doc/projects/moat_imagenet_pretrained_checkpoints.md">project page</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/yu2022kmaxdeeplab.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2207.04044.pdf">
<papertitle>k-means Mask Transformer</papertitle>
</a>
<br>
<strong>Qihang Yu</strong>,
Huiyu Wang,
Siyuan Qiao,
Maxwell Collins,
Yukun Zhu,
Hartwig Adam,
Alan Yuille,
Liang-Chieh Chen
<br>
<em>ECCV</em>, 2022
<br>
</p>
<div class="paper" id="yu2022kmaxdeeplab">
<a href="https://arxiv.org/pdf/2207.04044.pdf">paper</a>  / 
<a href="https://github.com/google-research/deeplab2/blob/main/g3doc/projects/kmax_deeplab.md">project page</a>  / 
<a href="https://github.com/bytedance/kmax-deeplab">pytorch reproduction</a>  / 
<a href="https://ai.googleblog.com/2022/07/revisiting-mask-transformer-from.html">Google AI Blog</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/he2022partimagenet.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2112.00933.pdf">
<papertitle>PartImageNet: A Large, High-Quality Dataset of Parts</papertitle>
</a>
<br>
Ju He,
Shuo Yang,
Shaokang Yang,
Adam Kortylewski,
Xiaoding Yuan,
Jie-Neng Chen,
Shuai Liu,
Cheng Yang,
<strong>Qihang Yu</strong>,
Alan Yuille
<br>
<em>ECCV</em>, 2022
<br>
</p>
<div class="paper" id="he2022partimagenet">
<a href="https://arxiv.org/pdf/2112.00933.pdf">paper</a>  / 
<a href="https://github.com/TACJu/PartImageNet">project page</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/yu2022cmtdeeplab.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2206.08948.pdf">
<papertitle>CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation</papertitle>
</a>
<br>
<strong>Qihang Yu</strong>,
Huiyu Wang,
Dahun Kim,
Siyuan Qiao,
Maxwell Collins,
Yukun Zhu,
Hartwig Adam,
Alan Yuille,
Liang-Chieh Chen
<br>
<em>CVPR</em>, 2022 <strong>Oral</strong>
<br>
</p>
<div class="paper" id="yu2022cmtdeeplab">
<a href="https://arxiv.org/pdf/2206.08948.pdf">paper</a>  / 
<a href="https://ai.googleblog.com/2022/07/revisiting-mask-transformer-from.html">Google AI Blog</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/kim2022tubeformer.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2205.15361.pdf">
<papertitle>TubeFormer-DeepLab: Video Mask Transformer</papertitle>
</a>
<br>
Dahun Kim,
Jun Xie,
Huiyu Wang,
Siyuan Qiao,
<strong>Qihang Yu</strong>,
Hong-Seok Kim,
Hartwig Adam,
In So Kweon,
Liang-Chieh Chen
<br>
<em>CVPR</em>, 2022
<br>
</p>
<div class="paper" id="kim2022tubeformer">
<a href="https://arxiv.org/pdf/2205.15361.pdf">paper</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/yu2021glance.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2106.02277.pdf">
<papertitle>Glance-and-Gaze Vision Transformer</papertitle>
</a>
<br>
<strong>Qihang Yu</strong>,
Yingda Xia,
Yutong Bai,
Yongyi Lu,
Alan Yuille,
Wei Shen
<br>
<em>NeurIPS</em>, 2021
<br>
</p>
<div class="paper" id="yu2021glance">
<a href="https://arxiv.org/pdf/2106.02277.pdf">paper</a>  / 
<a href="https://github.com/yucornetto/GG-Transformer">project page</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/deeplab2_2021.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2106.09748.pdf">
<papertitle>DeepLab2: A TensorFlow Library for Deep Labeling</papertitle>
</a>
<br>
Mark Weber*,
Huiyu Wang*,
Siyuan Qiao*,
Jun Xie,
Maxwell D. Collins,
Yukun Zhu,
Liangzhe Yuan,
Dahun Kim,
<strong>Qihang Yu</strong>,
Daniel Cremers,
Laura Leal-Taixe,
Alan L. Yuille,
Florian Schroff,
Hartwig Adam,
Liang-Chieh Chen
<br>
<em>Tech report</em>, arXiv
<br>
</p>
<div class="paper" id="deeplab2_2021">
<a href="https://arxiv.org/pdf/2106.09748.pdf">paper</a>  / 
<a href="https://github.com/google-research/deeplab2">project page</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/yu2020mask.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2012.06722.pdf">
<papertitle>Mask Guided Matting via Progressive Refinement Network</papertitle>
</a>
<br>
<strong>Qihang Yu</strong>,
Jianming Zhang,
He Zhang,
Yilin Wang,
Zhe Lin,
Ning Xu,
Yutong Bai,
Alan Yuille
<br>
<em>CVPR</em>, 2021
<br>
</p>
<div class="paper" id="yu2020mask">
<a href="https://arxiv.org/pdf/2012.06722.pdf">paper</a>  / 
<a href="https://github.com/yucornetto/MGMatting">project page</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/chen2021transunet.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2102.04306.pdf">
<papertitle>TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation</papertitle>
</a>
<br>
Jieneng Chen,
Yongyi Lu,
<strong>Qihang Yu</strong>,
Xiangde Luo,
Ehsan Adeli,
Yan Wang,
Le Lu,
Alan Yuille,
Yuyin Zhou
<br>
<em>Tech report</em>, arXiv
<br>
</p>
<div class="paper" id="chen2021transunet">
<a href="https://arxiv.org/pdf/2102.04306.pdf">paper</a>  / 
<a href="https://github.com/Beckschen/TransUNet">project page</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/li2020shapetexture.jpg'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2010.05981.pdf">
<papertitle>Shape-Texture Debiased Neural Network Training</papertitle>
</a>
<br>
Yingwei Li,
<strong>Qihang Yu</strong>,
Mingxing Tan,
Jieru Mei,
Peng Tang,
Wei Shen,
Alan Yuille,
Cihang Xie
<br>
<em>ICLR</em>, 2021
<br>
</p>
<div class="paper" id="li2020shapetexture">
<a href="https://arxiv.org/pdf/2010.05981.pdf">paper</a>  / 
<a href="https://github.com/LiYingwei/ShapeTextureDebiasedTraining">project page</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/yu2020cakes.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2003.12798.pdf">
<papertitle>CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network</papertitle>
</a>
<br>
<strong>Qihang Yu</strong>,
Yingwei Li,
Jieru Mei,
Yuyin Zhou,
Alan Yuille
<br>
<em>AAAI</em>, 2021
<br>
</p>
<div class="paper" id="yu2020cakes">
<a href="https://arxiv.org/pdf/2003.12798.pdf">paper</a>  / 
<a href="https://github.com/yucornetto/CAKES">project page</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/bai2020can.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2011.13046.pdf">
<papertitle>Can Temporal Information Help with Contrastive Self-Supervised Learning?</papertitle>
</a>
<br>
Yutong Bai,
Haoqi Fan,
Ishan Misra,
Ganesh Venkatesh,
Yongyi Lu,
Yuyin Zhou,
<strong>Qihang Yu</strong>,
Vikas Chandra,
Alan Yuille
<br>
<em>Tech report</em>, arXiv
<br>
</p>
<div class="paper" id="bai2020can">
<a href="https://arxiv.org/pdf/2011.13046.pdf">paper</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/xia2020detecting.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2003.08441.pdf">
<papertitle>Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble</papertitle>
</a>
<br>
Yingda Xia,
<strong>Qihang Yu</strong>,
Wei Shen,
Yuyin Zhou,
Elliot K Fishman,
Alan Yuille
<br>
<em>MICCAI</em>, 2020
<br>
</p>
<div class="paper" id="xia2020detecting">
<a href="https://arxiv.org/pdf/2003.08441.pdf">paper</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/yu2019c2fnas.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/1912.09628.pdf">
<papertitle>C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation</papertitle>
</a>
<br>
<strong>Qihang Yu</strong>,
Dong Yang,
Holger Roth,
Yutong Bai,
Yixiao Zhang,
Alan Yuille,
Daguang Xu
<br>
<em>CVPR</em>, 2020
<br>
</p>
<div class="paper" id="yu2019c2fnas">
<a href="https://arxiv.org/pdf/1912.09628.pdf">paper</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/li2020neural.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://cs.jhu.edu/~alanlab/Pubs20/li2020neural.pdf">
<papertitle>Neural Architecture Search for Lightweight Non-Local Networks</papertitle>
</a>
<br>
Yingwei Li,
Xiaojie Jin,
Jieru Mei,
Xiaochen Lian,
Linjie Yang,
Cihang Xie,
<strong>Qihang Yu</strong>,
Yuyin Zhou,
Song Bai,
Alan Yuille
<br>
<em>CVPR</em>, 2020
<br>
</p>
<div class="paper" id="li2020neural">
<a href="https://cs.jhu.edu/~alanlab/Pubs20/li2020neural.pdf">paper</a>  / 
<a href="https://github.com/LiYingwei/AutoNL">project page</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/zhang2020radiology.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/2002.08277.pdf">
<papertitle>When Radiology Report Generation Meets Knowledge Graph</papertitle>
</a>
<br>
Yixiao Zhang,
Xiaosong Wang,
Ziyue Xu,
<strong>Qihang Yu</strong>,
Alan Yuille,
Daguang Xu
<br>
<em>AAAI</em>, 2020
<br>
</p>
<div class="paper" id="zhang2020radiology">
<a href="https://arxiv.org/pdf/2002.08277.pdf">paper</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/rstn_tmi.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://ieeexplore.ieee.org/abstract/document/8769868">
<papertitle>Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans</papertitle>
</a>
<br>
Lingxi Xie,
<strong>Qihang Yu</strong>,
Yuyin Zhou,
Yan Wang,
Elliot K Fishman,
Alan Yuille
<br>
<em>IEEE Transactions on Medical Imaging (TMI)</em>, 2019
<br>
</p>
<div class="paper" id="rstn_tmi">
<a href="https://ieeexplore.ieee.org/abstract/document/8769868">paper</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/yu2019thickened.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="https://arxiv.org/pdf/1904.01150.pdf">
<papertitle>Thickened 2D Networks for Efficient 3D Medical Image Segmentation</papertitle>
</a>
<br>
<strong>Qihang Yu</strong>,
Yingda Xia,
Lingxi Xie,
Elliot K Fishman,
Alan Yuille
<br>
<em>Tech report</em>, arxiv
<br>
</p>
<div class="paper" id="yu2019thickened">
<a href="https://arxiv.org/pdf/1904.01150.pdf">paper</a>
</div>
</td>
</tr>
<tr>
<td class="tdimg" style="padding:20px;width:35%;vertical-align:center">
<img src='images/yu2018recurrent.png'>
</td>
<td class="tdcontent" style="padding:20px;width:65%;vertical-align:center">
<p>
<a href="http://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Recurrent_Saliency_Transformation_CVPR_2018_paper.pdf">
<papertitle>Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation</papertitle>
</a>
<br>
<strong>Qihang Yu</strong>,
Lingxi Xie,
Yan Wang,
Yuyin Zhou,
Elliot K Fishman,
Alan Yuille
<br>
<em>CVPR</em>, 2018
<br>
</p>
<div class="paper" id="yu2018recurrent">
<a href="http://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Recurrent_Saliency_Transformation_CVPR_2018_paper.pdf">paper</a>  / 
<a href="https://github.com/198808xc/OrganSegRSTN">project page</a>
</div>
</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;">Stolen from <a href="https://jonbarron.info/">Jon Barron</a></p>
</td>
</tr>
</tbody></table>
</td>
</tr>
</table>
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