Update index.html

index.html

@@ -54,20 +54,20 @@
     <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">Adam Goodge</div>
+          <div class="name">Dr Adam Goodge</div>
           <p class="details">
-          PhD Student<br>
-          National University of Singapore
+          Scientist<br>
+          I2R, A*STAR
           </p>
         <p class="contact">
-        <b>E-mail:</b> adam.goodge@u.nus.edu<br><br>
+        <b>E-mail:</b> adamgoodge@hotmail.com<br><br>
         </p>
 
         <p class="bio">
-	  I'm a PhD student in the School of Computing at the National University of Singapore and recipient 
-	  of the SINGA scholarship from the Agency of Science, Technology and Research (A*STAR). In my PhD dissertation,
-          I am focused on the development of robust and adaptive deep-learning techniques for anomaly detection, 
-	  a challenging but important task in many machine learning applications.
+	  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>
@@ -79,6 +79,8 @@
         <div id="content">
           <div id="header">Publications</div>
           <ul>
+	    <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.