1. preprints and gnc paper

tajanthan · Feb 11, 2025 · 90f1db1 · 90f1db1
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diff --git a/dlt/docs/gnc.pdf b/dlt/docs/gnc.pdf
diff --git a/dlt/index.html b/dlt/index.html
@@ -35,10 +35,9 @@ <h2 id="publications">Publications</h2>
 Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame.<br />
 Evan Markou, <strong>Thalaiyasingam Ajanthan</strong>, and Stephen Gould.<br />
 Neural Information Processing Systems (NeurIPS), December 2024.<br/>
-[to appear]
-<!--[<a href="docs/bsnn.pdf" title="pdf">pdf</a>] 
-[<a href="https://arxiv.org/abs/2006.12169" title="arxiv">arxiv</a>]
-[<a href="docs/bsnn-talk.pdf" title="talk">talk</a>]-->
+[<a href="docs/gnc.pdf" title="pdf">pdf</a>] 
+[<a href="https://arxiv.org/abs/2411.01248" title="arxiv">arxiv</a>]
+<!--[<a href="docs/bsnn-talk.pdf" title="talk">talk</a>]-->
 [<a href="" class="bibLink">bib</a>] 
 <pre class="bibBlock" style="display: none;">
 @article{markou_gnc_neurips24,

diff --git a/publications/index.html b/publications/index.html
@@ -23,6 +23,11 @@ <h2>Preprints</h2>
                             <ul>
 
 
+							<li>Z. Wang, S. Ramasinghe, C. Xu, J. Monteil, L. Bazzani, and <strong>T. Ajanthan</strong>, <strong>Learning Visual Hierarchies with Hyperbolic Embeddings</strong>, 2024.
+</li></br>
+							<li>Y. Cao, C. Xu, V. Shevchenko, S. Ramasinghe, and <strong>T. Ajanthan</strong>, <strong>Detail-Preserving Explicit Warping with Diffusion for Virtual Try-On</strong>, 2024.
+</li></br>
+
 							<li>S. Ramasinghe, V. Shevchenko, G. Avraham, Y. Zuo, M. Abdolshah, H. Husain, and <strong>T. Ajanthan</strong>, <strong>A Visual Codebook for Robust Arbitrary Scale Super-Resolution</strong>, 2024.
 </li></br>
 
@@ -94,7 +99,7 @@ <h2>Conferences</h2>
 							</header>
                             <ul>
 
-							<li><font color="red">[new]</font> E. Markou, <strong>T. Ajanthan</strong>, and S. Gould, <strong>Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame</strong>, NeurIPS, 2024. <!--[<a href="../vl/docs/atmg.pdf" title="pdf">pdf</a>]--> [to appear] [<a href="" class="bibLink">bib</a>]
+							<li><font color="red">[new]</font> E. Markou, <strong>T. Ajanthan</strong>, and S. Gould, <strong>Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame</strong>, NeurIPS, 2024. [<a href="../dlt/docs/gnc.pdf" title="pdf">pdf</a>] [<a href="" class="bibLink">bib</a>]
 <pre class="bibBlock" style="display: none;">
 @article{markou_gnc_neurips24,
   author = {Markou, Evan, and Ajanthan, Thalaiyasingam, and Gould, Stephen},
@@ -116,7 +121,7 @@ <h2>Conferences</h2>
 <a href="../vl/index.html", style="color: olive;">#VL</a>
 </li></br>
 
-							<li><font color="red">[new]</font> P. Li, P. Purkait, <strong>T. Ajanthan</strong>, M. Abdolshah, R. Garg, H. Husain, C. Xu, S. Gould, W. Ouyang, and A. van den Hengel, <strong>Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups</strong>, ICCV, 2023.
+							<li>P. Li, P. Purkait, <strong>T. Ajanthan</strong>, M. Abdolshah, R. Garg, H. Husain, C. Xu, S. Gould, W. Ouyang, and A. van den Hengel, <strong>Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups</strong>, ICCV, 2023.
 							[<a href="../cv/docs/semisup.pdf" title="pdf">pdf</a>] [<a href="../cv/docs/semisup-supp.pdf" title="pdf">supp</a>] <!--[<a href="https://arxiv.org/abs/2202.11233" title="arxiv">arxiv</a>]--> [<a href="" class="bibLink">bib</a>] 
 <pre class="bibBlock" style="display: none;">
 @article{li_dlg_iccv23,
@@ -371,7 +376,7 @@ <h2>Workshops</h2>
 <!--<a href="../cv/index.html", style="color: olive;">#CV</a>-->
 </li></br>
 
-							<li><font color="red">[new]</font> A. Long, <strong>T. Ajanthan</strong>, and A. van den Hengel, <strong>Modality-Aware Adaptation of Contrastive Language-Image Models</strong>, ICLR Workshop: Mathematical and Empirical Understanding of Foundation Models, 2023.
+							<li>A. Long, <strong>T. Ajanthan</strong>, and A. van den Hengel, <strong>Modality-Aware Adaptation of Contrastive Language-Image Models</strong>, ICLR Workshop: Mathematical and Empirical Understanding of Foundation Models, 2023.
                                     [<a href="../vl/docs/mater.pdf" title="pdf">pdf</a>] [<a href="" class="bibLink">bib</a>]
 <pre class="bibBlock" style="display: none;">
 @article{long_mater_iclr23,