From 29e3269fe2d688a9aa6b34e6da8b9c145c40b8db Mon Sep 17 00:00:00 2001
From: Luigi Capogrosso <luigi@capogrosso.eu>
Date: Sat, 7 Sep 2024 17:11:21 +0200
Subject: [PATCH] Add arXiv, BibTeX, and minor changes

---
 index.html | 11 ++++++++---
 1 file changed, 8 insertions(+), 3 deletions(-)

diff --git a/index.html b/index.html
index cb5d9f5..fec5ab4 100644
--- a/index.html
+++ b/index.html
@@ -113,7 +113,7 @@ <h1 class="title is-1 publication-title">SITUATE: Indoor Human Trajectory Predic
                                     </span>
                                     <!-- arXiv link. -->
                                     <span class="link-block">
-                                        <a target="_blank" href="" class="external-link button is-normal is-rounded is-dark">
+                                        <a target="_blank" href="https://arxiv.org/abs/2409.00774" class="external-link button is-normal is-rounded is-dark">
                                             <span class="icon">
                                                 <i class="ai ai-arxiv"></i>
                                             </span>
@@ -151,7 +151,7 @@ <h1 class="title is-1 publication-title">SITUATE: Indoor Human Trajectory Predic
                     <img src="./static/images/teaser.png" alt="MTL-Split teaser" type="image/png" style="width: 85%; height: 85%;">
                     <h6 class="subtitle is-6 has-text-centered">
                         Examples of different trajectories from the Supermarket [10] dataset to show the difficulty of the indoor trajectory prediction task.
-                        In particular, the dataset showcases long trajectories (person 4), self-loops (person 1 and person 3), and confusing movements (person 2) performed in an environment that strongly affects the people's paths.
+                        In particular, the dataset showcases long trajectories (Person 4), self-loops (Person 1 and Person 3), and confusing movements (Person 2) performed in an environment that strongly affects the people's paths.
                         Specifically, the red circle represents the starting point of a trajectory, and the yellow star represents its final point.
                     </h6>
                 </div>
@@ -185,7 +185,12 @@ <h2 class="title is-3">Abstract</h2>
         <section class="section" id="BibTeX">
             <div class="container is-max-desktop content">
                 <h2 class="title">BibTeX</h2>
-<pre><code>TBA.
+<pre><code>@article{capogrosso2024situate,
+    title={SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision Representation},
+    author={Capogrosso, Luigi and Toaiari, Andrea and Avogaro, Andrea and Khan, Uzair and Jivoji, Aditya and Fummi, Franco and Cristani, Marco},
+    journal={arXiv preprint arXiv:2409.00774},
+    year={2024}
+}
 </code></pre>
             </div>
         </section>