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index.html
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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
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<meta name="description" content="">
<meta name="author" content="">
<title>Adam Goodge </title>
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<div id="navbar" class="collapse navbar-collapse">
<ul class="nav navbar-nav">
<li><a href="https://scholar.google.com/citations?user=XKupj84AAAAJ&hl=en">Google Scholar</a></li>
<li><a href="https://www.linkedin.com/in/adam-goodge001/">LinkedIn</a></li>
<li><a href="https://github.com/agoodge">GitHub</a></li>
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<br>
<div id="home">
<div id="content">
<p><img src="img.jpeg" width="300" height="400" align="left" style="margin: 0px 20px 20px 0px" border="1"></p>
<div class="name">Dr Adam Goodge</div>
<p class="details">
Scientist<br>
I2R, A*STAR
</p>
<p class="contact">
<b>E-mail:</b> adamgoodge@hotmail.com<br><br>
</p>
<p class="bio">
I'm a scientist at the Institute for Infocomm Research (I2R), Agency of Science of Technology and Research of Singapore (A*STAR). I was a PhD student in the School of Computing at the National University of Singapore and recipient
of the Singapore International Graduate Award (SINGA) scholarship from 2018-2022.
My expertise is in state-of-the-art deep-learning techniques for the challenging task of anomaly detection in various applications. I am also interested in developments in foundation models, generative AI and multi-modality such as vision-language modelling.
</p>
</div>
</div>
<!-- PUBLICATIONS -->
<hr>
<div id="publications">
<div id="content">
<div id="header">Publications</div>
<ul>
<li> Yushu Li, Yongyi Su, Adam Goodge, Kui Jia, Xun Xu. <a href = 'https://arxiv.org/pdf/2412.18303'> Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model </a>, <i>The Thirteenth International Conference on Learning Representations (ICLR)</i> 2025.
<li> Adam Goodge, Bryan Hooi, Wee Siong Ng. <a href = 'https://arxiv.org/pdf/2407.17083'> When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection</a>, <i>The British Machine Vision Conference (BMVC)</i> 2024.
<li> Jingyi Liao, Xun Xu, Manh Cuong Nguyen, Adam Goodge, Chuan Sheng Foo. <a href = 'https://arxiv.org/pdf/2402.18998'> COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection </a>, <i>IEEE Transactions on Image Processing (TIP) </i> 2024
<li> Yiting Li, Adam Goodge, Fayao Liu, Chuan-Sheng Foo. <a href = 'https://openaccess.thecvf.com/content/WACV2024/papers/Li_PromptAD_Zero-Shot_Anomaly_Detection_Using_Text_Prompts_WACV_2024_paper.pdf'> PromptAD: Zero-Shot Anomaly Detection Using Text Prompts</a>, <i>Winter Conference on Applications of Computer Vision (WACV)</i> 2024.
<li> Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng. <a href = 'https://arxiv.org/pdf/2206.07604.pdf'> ARES: Locally Adaptive Reconstruction-based Anomaly Scoring </a>, <i>European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) </i> 2022
<li> Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi. <a href = 'https://bhooi.github.io/papers/cadet_ijcai22.pdf'> CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias</a>, <i> International Joint Conference on Artificial Intelligence (IJCAI) </i> 2022.
<li> Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng. <a href = 'https://www.aaai.org/AAAI22Papers/AAAI-51.GoodgeA.pdf'>LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks</a>, <i>AAAI Conference on Artificial Intelligence (AAAI)</i> 2022.
<li> Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng. <a href = 'https://www.ijcai.org/Proceedings/2020/0173.pdf'>Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact</a>, <i>International Joint Conference on Artificial Intelligence (IJCAI) </i> 2020.
</ul>
</ul>
</div>
</div>
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