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<!DOCTYPE html>
<html lang="en-US">
<head>
<!-- <title>Jiachen Zhong | </title> -->
<title>Jiachen Zhong</title>
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<h1>Jiachen Zhong</h1>
</header>
<section>
<h2 id="about-me">About Me</h2>
<p>I am an Algorithm Engineer at the AI Lab of SAIC Motor. Before moving to industry career, I was a Master student at UCLA Computer Science Department.</p>
<p>I work on the vision perception solutions for production-level autonomous driving. I also do research in ML/CV problems for fun, recently in Multi-views(BEV) 3D vision perception, camera modeling, and self-supervised/representation learning.</p>
<p>[<a href="mailto:[email protected]">E-mail</a>] [<a href="./assets/files/JiachenZhong_CV.pdf">CV</a>] [<a href="https://github.com/julightzhong10">Github</a>] [<a href="http://linkedin.com/in/julightzhong10/">LinkedIn</a>]</p>
<!-- ## Research Interests
- **Computer Vision:** Multi-views(BEV) 3D vision perception, monocular 2/3D vision perception
- **Machine Learning:** self-supervised/representation learning -->
<!-- ## News
- **[May 2023]** 4th place on CVPR 2023 3D Occupancy Prediction Challenge.
- **[Feb. 2023]** One paper is accepted by CVPR2023 and one is accepted by ICRA
-->
<h2 id="paperworks">Paperworks</h2>
<p>* indicates equal contribution</p>
<ul>
<li>
<p><strong>Multi-Scale Occ: 4th Place Solution for CVPR 2023 3D Occupancy Prediction Challenge</strong>
<br />
Yangyang Ding*, Luying Huang*, <strong>Jiachen Zhong</strong>
<br />
Tech report of <strong>CVPR 2023</strong> Autonomous Driving Challenge.
<br />
[<a href="https://arxiv.org/abs/2306.11414">PDF</a>] [<a href="https://opendrivelab.com/AD23Challenge.html#3d_occupancy_prediction">Official leaderboard</a>] [<a href="https://eval.ai/web/challenges/challenge-page/2045/leaderboard/4838">EvalAI</a>]</p>
</li>
<li>
<p><strong>Understanding the Robustness of 3D Object Detection with Bird’s-Eye-View Representations in Autonomous Driving</strong>
<br />
Zijian Zhu*, Yichi Zhang*, Hai Chen, Yinpeng Dong, Shu Zhao, Wenbo Ding, <strong>Jiachen Zhong</strong>, Shibao Zheng
<br />
Computer Vision and Pattern Recognition Conference (<strong>CVPR</strong>), 2023.
<br />
[<a href="https://arxiv.org/abs/2303.17297">PDF</a>][<a href="https://github.com/zzj403/BEV_Robust">Code</a>]</p>
</li>
<li>
<p><strong>WS-3D-Lane: Weakly Supervised 3D Lane Detection With 2D Lane Labels</strong>
<br />
Jianyong Ai, Wenbo Ding, Jiuhua Zhao, <strong>Jiachen Zhong</strong>
<br />
International Conference on Robotics and Automation (<strong>ICRA</strong>), 2023.
<br />
[<a href="https://arxiv.org/abs/2209.11523">PDF</a>] [<a href="https://github.com/SAIC-Vision/WS-3D-Lane">Code</a>]</p>
</li>
<li>
<p><strong>Improving the Speed and Quality of GAN by Adversarial Training</strong>
<br />
<strong>Jiachen Zhong</strong>, Xuanqing Liu, Cho-Jui Hsieh
<br />
ArXiv Preprint, 2020.
<br />
[<a href="https://arxiv.org/abs/2008.03364">PDF</a>] [<a href="https://github.com/julightzhong10/fastgan">Code</a>] [<a href="https://escholarship.org/uc/item/8k57j7z3">MS Thesis Version</a>]</p>
</li>
<li>
<p><strong>Fashion Popularity Analysis based on Online Social Network via Deep Learning</strong>
<br />
<strong>Jiachen Zhong</strong>, Rita Tse, Gustavo Marfia, Giovanni Pau
<br />
International Conference on Digital Image Processing (<strong>ICDIP</strong>), 2019.
<br />
[<a href="./assets/files/icdip2019_zhong2019fashion.pdf">PDF</a>] [<a href="https://doi.org/10.1117/12.2539771">DOI</a>] [<a href="./assets/files/BSThesis_zhong2018.pdf">BS Thesis Version</a>]</p>
</li>
</ul>
<!-- ## Services
- Conference Reviewers: NeurIPS 2020, CVPR 2020.
- Journal Reviewers: T-PAMI, IJCV. -->
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<p><small>© Copyright 2023 Jiachen Zhong. Last updated: May 21, 2023.</small></p>
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