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<!DOCTYPE html>
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<title>Tianshui Chen (陈添水) | 中山大学人机物智能融合实验室</title>
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<div class="container">
<!-- 导航栏 -->
<div class="Bar_Div" style="">
<ul class="nav nav-tabs" >
<li id='nav-bar-1' style="width: 150px;">    </li>
<li id='nav-bar-1' class=""><a href="index.html">Tianshui Chen (陈添水)</a></li>
<li id='nav-bar-2' class="active"><a href="Publication.html">Publications</a></li>
</ul>
</div>
<div class="row clearfix" style=" background-color: white;margin:60px -50px 100px -50px;">
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<div class="col-md-12 column" style="float: left;">
<ul style="float: left;">
<!-- Tournal papers -->
<p class="second-heading" style="margin-left: -15px; margin-top: 20px;">Journal papers</p>
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<span class="span_style_1">
<img src="images/LSOCRNN_Fig1.jpg" width=90% height=90 class="" >
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<span class="span_style_2">
<p class="Text-context">Learning to Segment Object Candidates via Recursive Neural Networks.</p>
<p class="Text-context" ><b style="font-weight:bold;">Tianshui Chen</b>, Liang Lin, Xian Wu, Nong Xiao, and Xiaonan Luo.</p>
<p class="Text-context" >to appear in IEEE Transactions on Image Processing (<b style="font-weight:bold;">T-IP</b>), 2018.</p>
<p class="Text-context" >
[<a href="https://arxiv.org/abs/1612.01057">PDF</a>]
[<a href="http://www.sysu-hcp.net/learning-to-segment-object-proposals-via-recursive-neural-networks/">ProjectPage</a>]
</p>
</span>
</li>
<li class="li_style">
<span class="span_style_1">
<img src="images/CASPGDRL_Fig1.jpg" width=90% height=90 class="" >
</span>
<span class="span_style_2">
<p class="Text-context">Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning.</p>
<p class="Text-context" >Dongyu Zhang, Liang Lin, <b style="font-weight:bold;">Tianshui Chen</b>, Xian Wu, Wenwei Tan, and Ebroul Izquierdo.</p>
<p class="Text-context" >IEEE Transactions on Image Processing (<b style="font-weight:bold;">T-IP</b>), 26(1): 328-339, 2017.</p>
<p class="Text-context" >
[<a href="https://arxiv.org/abs/1710.01453">PDF</a>]
[<a href="http://www.sysu-hcp.net/photo-sketch-generation-and-verification/">ProjectPage</a>]
</p>
</span>
</li>
<li class="li_style">
<span class="span_style_1">
<img src="images/DISC_DISCPRL_Fig2.jpg" width=90% height=90 class="" >
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<span class="span_style_2">
<p class="Text-context">DISC: Deep Image Saliency Computing via Progressive Representation Learning.</p>
<p class="Text-context" ><b style="font-weight:bold;">Tianshui Chen</b>, Liang Lin, Lingbo Liu, Xiaonan Luo, and Xuelong Li.</p>
<p class="Text-context" >IEEE Transactions on Neural Networks and Learning Systems (<b style="font-weight:bold;">T-NNLS</b>), 27(6): 1135-1149, 2016.</p>
<p class="Text-context" >
[<a href="https://arxiv.org/abs/1511.04192">PDF</a>]
[<a href="https://github.com/tianshuichen/DISC">Code</a>]
[<a href="http://www.sysu-hcp.net/disc-deep-image-saliency-computing-via-progressive-representation-learning/">ProjectPage</a>]
</p>
</span>
</li>
</ul>
<ul style="float: left;">
<!-- Conference papers -->
<p class="second-heading" style="margin-left: -15px;">Conference papers</p>
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<p class="Text-context">Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding.</p>
<p class="Text-context" ><b style="font-weight:bold;">Tianshui Chen</b>, Wenxi Wu, Yuefang Gao, Le Dong, Xiaonan Luo, Liang Lin.</p>
<p class="Text-context" >Proc. of ACM International Conference on Multimedia (ACM MM), 2018.</p>
<p class="Text-context" >
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[<a href="">PDF</a>]
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</span>
</li>
<li class="li_style">
<span class="span_style_1">
<img src="images/KERLFGIR_Fig1.jpg" width=90% height=90 class="" >
</span>
<span class="span_style_2">
<p class="Text-context">Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition.</p>
<p class="Text-context" ><b style="font-weight:bold;">Tianshui Chen</b>, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo.</p>
<p class="Text-context" >Proc. of International Joint Conference on Artificial Intelligence (<b style="font-weight:bold;">IJCAI</b>), 2018.</p>
<p class="Text-context" >
[<a href="https://arxiv.org/abs/1807.00505">PDF</a>]
</p>
</span>
</li>
<li class="li_style">
<span class="span_style_1">
<img src="images/DRKGSRU_Fig1.jpg" width=90% height=90 class="" >
</span>
<span class="span_style_2">
<p class="Text-context">Deep Reasoning with Knowledge Graph for Social Relationship Understanding.</p>
<p class="Text-context" ><b style="font-weight:bold;">Tianshui Chen†</b>, Zhouxia Wang†, Jimmy Ren, Weihao Yu, Hui Cheng, Liang Lin.</p>
<p class="Text-context" >Proc. of International Joint Conference on Artificial Intelligence (<b style="font-weight:bold;">IJCAI</b>), 2018. (†co-first authors).</p>
<p class="Text-context" >
[<a href="https://arxiv.org/abs/1807.00504">PDF</a>]
[<a href="https://github.com/HCPLab-SYSU/SR">Code</a>]
</p>
</span>
</li>
<li class="li_style">
<span class="span_style_1">
<img src="images/LWAEADNN_Fig1.jpg" width=90% height=90 class="" >
</span>
<span class="span_style_2">
<p class="Text-context">Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks.</p>
<p class="Text-context" ><b style="font-weight:bold;">Tianshui Chen</b>, Liang Lin, Wangmeng Zuo, Xiaonan Luo, and Lei Zhang.</p>
<p class="Text-context" >Proc. of AAAI Conference on Artificial Intelligence (<b style="font-weight:bold;">AAAI</b>), 2018. (Oral Presentation).</p>
<p class="Text-context" >
[<a href="https://arxiv.org/abs/1712.07493">PDF</a>]
[<a href="https://github.com/tianshuichen/Wavelet-like-Auto-Encoder">Code</a>]
[<a href="http://www.sysu-hcp.net/wae/">ProjectPage</a>]
</p>
</span>
</li>
<li class="li_style">
<span class="span_style_1">
<img src="images/RARLMIR_Fig1.jpg" width=90% height=90 class="" >
</span>
<span class="span_style_2">
<p class="Text-context">Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition.</p>
<p class="Text-context" ><b style="font-weight:bold;">Tianshui Chen</b>, Zhouxia Wang, Guanbin Li, and Liang Lin.</p>
<p class="Text-context" >Proc. of AAAI Conference on Artificial Intelligence (<b style="font-weight:bold;">AAAI</b>), 2018.</p>
<p class="Text-context" >
[<a href="https://arxiv.org/abs/1712.07465">PDF</a>]
</p>
</span>
</li>
<li class="li_style">
<span class="span_style_1">
<img src="images/MIRRDAR_Fig1.jpg" width=90% height=90 class="" >
</span>
<span class="span_style_2">
<p class="Text-context">Multi-label Image Recognition by Recurrently Discovering Attentional Regions.</p>
<p class="Text-context" ><b style="font-weight:bold;">Tianshui Chen†</b>, Zhouxia Wang†, Guanbin Li, Ruijia Xu, and Liang Lin.</p>
<p class="Text-context" >Proc. of IEEE International Conference on Computer Vision (<b style="font-weight:bold;">ICCV</b>), 2017. (†co-first authors).</p>
<p class="Text-context" >
[<a href="https://arxiv.org/abs/1711.02816">PDF</a>]
</p>
</span>
</li>
<li class="li_style">
<span class="span_style_1">
<img src="images/KGRNNLTOAP_Fig1.jpg" width=90% height=90 class="" >
</span>
<span class="span_style_2">
<p class="Text-context">Knowledge-Guided Recurrent Neural Network Learning for Task-oriented Action Prediction.</p>
<p class="Text-context" >Liang Lin, <b style="font-weight:bold;">Tianshui Chen†</b>, Lili Huang†, Yukang Gan, and Hui Cheng.</p>
<p class="Text-context" >Proc. of IEEE International Conference on Multimedia and Expo (<b style="font-weight:bold;">ICME</b>), 2017.
(<b style="font-weight:bold;">The world’s first 10K Best Paper Diamond Award</b>,
More info: <a href="http://www.ieee-icme.org/sc/award.php">http://www.ieee-icme.org/sc/award.php</a>, †co-second authors).</p>
<p class="Text-context" >
[<a href="https://arxiv.org/abs/1707.04677">PDF</a>]
</p>
</span>
</li>
<li class="li_style">
<span class="span_style_1">
<img src="images/CPNFRTE_Fig1.jpg" width=90% height=90 class="" >
</span>
<span class="span_style_2">
<p class="Text-context">Character Proposal Network for Robust Text Extraction.</p>
<p class="Text-context" >Shuye Zhang, Mude Lin, <b style="font-weight:bold;">Tianshui Chen</b>, Lianwen Jin, Liang Lin.</p>
<p class="Text-context" >Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (<b style="font-weight:bold;">ICASSP</b>), 2016.</p>
<p class="Text-context" >
[<a href="https://arxiv.org/abs/1602.04348">PDF</a>]
</p>
</span>
</li>
</ul>
</div>
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</body>
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