publications - update missing

_publications/2021_surf_param.md

@@ -0,0 +1,74 @@
+---
+layout: publication
+title: "3D Reconstruction by Parameterized Surface Mapping"
+image: assets/img/publications/2021_surf_param/2021_surf_param_teaser.png
+hide: false
+category: [3d-reconstruction, 3d-perception]
+authors: Pierre-Alain Langlois, Matthew Fisher, Oliver Wang, Vladimir Kim, Alexandre Boulch, Renaud Marlet, Bryan Russell
+venue: ICIP
+venue_long: International Conference on Image Processing
+year: 2021
+month: 8
+code_url: 
+paper_url: https://imagine.enpc.fr/~marletr/publi/ICIP-2021-Langlois-et-al.pdf
+blog_url:
+slides_url:
+bib_url:
+permalink: /publications/vasad/
+---
+
+<h1 align="center"> {{page.title}} </h1>
+<h3 align="center">  <a href="https://palanglois.github.io/">Pierre-Alain Langlois</a>&nbsp;&nbsp;<a href="https://techmatt.github.io/">Matthew Fisher</a>&nbsp;&nbsp;<a href="https://www.oliverwang.info/">Oliver Wang</a>&nbsp;&nbsp;<a href="http://www.vovakim.com/">Vladimir Kim</a>&nbsp;&nbsp;<a href="https://boulch.eu/">Alexandre Boulch</a>&nbsp;&nbsp;<a href="http://imagine.enpc.fr/~marletr/">Renaud Marlet</a>&nbsp;&nbsp;<a href="https://bryanrussell.org/">Bryan Russell</a></h3>
+
+
+<h3 align="center"> {{page.venue}} {{page.year}} </h3>
+
+<div align="center">
+  <p>
+    {% if page.paper_url %}
+    <a href="{{ page.paper_url }}"><i class="far fa-file-pdf"></i> Paper</a>&nbsp;&nbsp;
+    {% endif %}
+    {% if page.code_url %}
+    <a href="{{ page.code_url }}"><i class="fab fa-github"></i> Code</a> &nbsp;&nbsp;
+    {% endif %}
+    {% if page.blog_url %}
+    <a href="{{ page.blog_url }}"><i class="fab fa-blogger"></i> Blog</a> &nbsp;&nbsp;
+    {% endif %}
+    {% if page.slides_url %}
+    <a href="{{ page.slides_url }}"><i class="far fa-file-pdf"></i> Slides</a>&nbsp;&nbsp;
+    {% endif %}
+    {% if page.bib_url %}
+    <a href="{{ page.bib_url}}"><i class="far fa-file-alt"></i> BibTeX</a>&nbsp;&nbsp;
+    {% endif %}
+  </p>
+</div>
+
+
+![](../../assets/img/publications/2021_surf_param/2021_surf_param_teaser.png){:width="100%"}
+
+<hr>
+
+<h2  align="center"> Abstract</h2>
+
+<p align="justify">We introduce an approach for computing a 3D mesh from one or more views of an object by establishing dense correspondences between pixels in the views and 3D locations on a learnable parameterized surface. We propose a multi-view shape encoder that can be jointly trained with the AtlasNet surface parameterization. The shape is further refined using a novel geometric cycle-consistency loss between the learnable parameterized surface and input views. We demonstrate the efficacy of our approach on the ShapeNet-COCO dataset.
+</a></p>
+
+<br>
+
+<hr>
+
+<h2  align="center">BibTeX</h2>
+<left>
+  <pre class="bibtex-box">
+@inproceedings{langlois20213d,
+  title={3D Reconstruction By Parameterized Surface Mapping},
+  author={Langlois, Pierre-Alain and Fisher, Matthew and Wang, Oliver and Kim, Vladimir and Boulch, Alexandre and Marlet, Renaud and Russell, Bryan},
+  booktitle={2021 IEEE International Conference on Image Processing (ICIP)},
+  pages={3273--3277},
+  year={2021},
+  organization={IEEE}
+}
+</pre>
+</left>
+
+<br>

_publications/2022_vasad.md

@@ -1,7 +1,7 @@
 ---
 layout: publication
 title: "VASAD: a Volume and Semantic dataset for Building Reconstruction from Point Clouds"
-image: assets/img/publications/2022_dsrv/2022_vasad_teaser.png
+image: assets/img/publications/2022_vasad/2022_vasad_teaser.png
 hide: false
 category: [3d-reconstruction, 3d-perception]
 authors: Pierre-Alain Langlois, Yang Xiao, Alexandre Boulch, Renaud Marlet