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@@ -273,6 +273,27 @@ <h3>Smart Event Detection for Highlight Clips</h3>
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+
+          <article class="project-card">
+            <div class="teaser" role="img" aria-label="Image retrieval with CLIP.">
+              <img src="assets/group_Q.png" alt="Image retrieval preview" style="position:absolute; inset:0; width:100%; height:100%; object-fit:cover; z-index:2;">
+              <span class="teaser-label" style="z-index:3;">Group Q</span>
+            </div>
+            <div class="project-content">
+              <p class="project-meta">CLIP, FAISS, patch-level matching, image retrieval</p>
+              <h3>Image retrieval with ClIP</h3>
+              <p class="project-abstract">
+                Got a clue? ImageDetective can find the picture. Describe what you’re looking for, upload an image, or search by visual details. ImageDetective connects text and images through foundation models, combining global semantic search with patch-level matching for smarter and more explainable retrieval.
+                <br><br>
+                We will propose a vision language retrieval system to implement bidirectional search between images and natural language. With CLIP, we will map both modalities into a share embedding space, a image could be retrieved with FAISS indexing. Perhaps the accurary should be improved, further approach is using a SAM3 for text guided semantic segmentation and enable patch level matching.
+              </p>
+              <label class="project-toggle-label">
+                <input class="project-toggle" type="checkbox" aria-label="Toggle full project pitch">
+                <span class="project-toggle-more">Read more</span>
+                <span class="project-toggle-less">Show less</span>
+              </label>
+            </div>
+          </article>
         
 
           <article class="project-card add-project-card">