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---
layout: home
profile_picture:
src: /assets/img/yuqiyang.png
alt: website picture
items:
- title: Multi-Task Dense Prediction via Mixture of Low-Rank Experts
image:
src: /assets/img/work/mlore_pipeline.png
alt: arxiv
author: <b>Yuqi Yang*</b>, Peng-Tao Jiang*, Qibin Hou, Hao Zhang, Jinwei Chen, Bo Li
pubname: IEEE Computer Vision and Pattern Recognition (CVPR)
code: https://github.com/YuqiYang213/MLoRE
paper: https://arxiv.org/abs/2403.17749
bibtex:
- title: Traffic Scene Parsing through the TSP6K Dataset
image:
src: /assets/img/work/tsp_pipeline.png
alt: arxiv
author: Peng-Tao Jiang*, <b>Yuqi Yang*</b>, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen
pubname: IEEE Computer Vision and Pattern Recognition (CVPR)
code: https://github.com/PengtaoJiang/TSP6K
paper: https://arxiv.org/abs/2303.02835
bibtex:
- title: L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation
image:
src: /assets/img/work/l2g_pipeline.png
alt: arxiv
author: Peng-Tao Jiang, <b>Yuqi Yang</b>, Qibin Hou, Yunchao Wei
pubname: IEEE Computer Vision and Pattern Recognition (CVPR)
code: https://github.com/PengtaoJiang/L2G
paper: https://arxiv.org/abs/2204.03206
bibtex:
- title: CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
image:
src: /assets/img/work/corrmatch_pipeline.png
alt: arxiv
author: Boyuan Sun, <b>Yuqi Yang</b>, Weifeng Yuan, Le Zhang, Ming-Ming Cheng, Qibin Hou
pubname: IEEE Computer Vision and Pattern Recognition (CVPR)
code: https://github.com/BBBBchan/CorrMatch
paper: https://arxiv.org/abs/2306.04300
bibtex:
---
<p>
Yuqi Yang (杨雨奇) is currently pursuing a master degree at Nankai University,
supervised by Prof. <a href="https://houqb.github.io/">Qibin Hou</a> and Prof. <a href="https://mmcheng.net/cmm">Ming-Ming Cheng</a>.
He received his bachelor's degree from the School of Computer Science and Technology at Nankai University in 2022.
His research interests include computer vision and deep learning, particularly focusing on semantic segmentation and multi-task learning, <i>etc</i>.
</p>
<p>
<i class="fa-solid fa-location-dot"></i> Tianjin, China
<br/>
<i class="fa-solid fa-envelope"></i> yangyq2000<i class="fa-solid fa-at"></i>mail.nankai.edu.cn
<br/>
<a href="https://github.com/YuqiYang213"> <i class="fa-brands fa-github"></i> Github</a>
</p>
<div id="publication">
<h1 class="page-heading">Selected Publications</h1>
( * equal contribution)
<br/>
<table>
{% for item in page.items %}
<tr>
<td width="35%">
<img
style="width: 200px"
src="{{ item.image.src | absolute_url }}"
alt="{{ item.image.alt }}"
/>
</td>
<td width="65%">
<paper-title> {{ item.title }} </paper-title>
<br/>
<paper-info>
{{ item.author }}
<br/>
<em>{{ item.pubname }}</em>
<br/>
{% if item.paper and item.paper != "" and item.paper != nil %}
[<a href="{{ item.paper }}">Paper</a>]
{% else %}
[Paper (Coming soon)]
{% endif %}
{% if item.code and item.code != "" and item.code != nil %}
[<a href="{{ item.code }}">Code</a>]
{% else %}
[Code]
{% endif %}
</paper-info>
</td>
</tr>
{% endfor %}
</table>
</div>