final update for now

CVLAB-Unibo · Mar 12, 2024 · d9b197f · d9b197f
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diff --git a/_includes/paper.html b/_includes/paper.html
@@ -3,20 +3,29 @@
         <div class="container">
           <h2 align="centered" class="title">Paper CFM4IAD</h2>
             <br>
-              <div style="display: flex; gap: 10px; justify-content: center; align-items: center;">
+              <div style="display: flex; gap: 2px; justify-content: center; align-items: center;">
                 <h2>[Paper]</h2>
                 <h2>[Supplementary]</h2>
                 <h2>[Code]</h2>
-                <h2>[Poster]</h2>
-                <h2>[Video]</h2>
                 <!-- <a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Costanzino_Learning_Depth_Estimation_for_Transparent_and_Mirror_Surfaces_ICCV_2023_paper.pdf"><h2>[Paper]</h2>
                 <a href="https://openaccess.thecvf.com/content/ICCV2023/supplemental/Costanzino_Learning_Depth_Estimation_ICCV_2023_supplemental.pdf"><h2>[Supplementary]</h2>
                 <a href="https://github.com/CVLAB-Unibo/Depth4ToM-code#-learning-depth-estimation-for-transparent-and-mirror-surfaces-iccv-2023-"><h2>[Code]</h2></a>
                 <a href="https://github.com/CVLAB-Unibo/Depth4ToM-code#file_cabinet-dataset"><h2>[Dataset]</h2></a>
                 <a href="https://github.com/CVLAB-Unibo/Depth4ToM/blob/4e6cc00409a0ce4674156f6f4844f077ebd7a5fb/assets/ICCV_2023_poster.pdf"><h2>[Poster]</h2></a>
                 <a href="https://www.youtube.com/watch?v=qxJxcsmC0pc"><h2>[Video]</h2></a> -->
-              </div>              
-            <br>
+              </div>
+
+            <div style="display: flex; gap: 10px; justify-content: center; align-items: center;">
+              <h2>[Poster]</h2>
+              <h2>[Video]</h2>
+              <!-- <a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Costanzino_Learning_Depth_Estimation_for_Transparent_and_Mirror_Surfaces_ICCV_2023_paper.pdf"><h2>[Paper]</h2>
+              <a href="https://openaccess.thecvf.com/content/ICCV2023/supplemental/Costanzino_Learning_Depth_Estimation_ICCV_2023_supplemental.pdf"><h2>[Supplementary]</h2>
+              <a href="https://github.com/CVLAB-Unibo/Depth4ToM-code#-learning-depth-estimation-for-transparent-and-mirror-surfaces-iccv-2023-"><h2>[Code]</h2></a>
+              <a href="https://github.com/CVLAB-Unibo/Depth4ToM-code#file_cabinet-dataset"><h2>[Dataset]</h2></a>
+              <a href="https://github.com/CVLAB-Unibo/Depth4ToM/blob/4e6cc00409a0ce4674156f6f4844f077ebd7a5fb/assets/ICCV_2023_poster.pdf"><h2>[Poster]</h2></a>
+              <a href="https://www.youtube.com/watch?v=qxJxcsmC0pc"><h2>[Video]</h2></a> -->
+            </div>              
+          <br>
                 <div class="columns">
                 <div class="column is-one-fifth-desktop is-one-fifth-tablet is-one-fifth-fullhd">
                   <br>
@@ -32,7 +41,7 @@ <h2>[Video]</h2>
                     <div class="container columns is-centered">
                         <div>
                           <B><a href="https://arxiv.org/abs/2312.04521"><font size = "+2">Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping</font></a><br></B>
-                          <B><i> Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano</B></i>
+                          <B><i> Alex Costanzino*, Pierluigi Zama Ramirez*, Giuseppe Lisanti, Luigi Di Stefano</B></i>
                           <br>
                           <i><font size = "-1">*Equal Contribution</font></i>
                           <br>
@@ -65,4 +74,11 @@ <h3>
     year = {2024},
 }
 </pre>
+
+<br>
+
+<center>
+  We gratefully acknowledge the support of SACMI Imola.
+</center>
+
 </section>
diff --git a/_includes/us.html b/_includes/us.html
@@ -85,7 +85,7 @@ <h1>US</h1>
       <div class="pe">
         <img src="assets/images/pier.jfif" alt="">
         <div class="p-name">Pierluigi Zama Ramirez</div>
-        <div class="p-des">Post Doc</div>
+        <div class="p-des">Assistant Professor</div>
         <div class="p-des">University of Bologna</div>
         <div class="p-des">[email protected]</div>
       </div>