add challenge

Author: assembly-101

docs/index.html

@@ -262,6 +262,10 @@ <h1>Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Proced
 					<span class="material-icons"> videocam </span>
 					Sample
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+				<a class="paper-btn" href="https://codalab.lisn.upsaclay.fr/competitions/5256" style="width: 20%; background-color: #c9270e;">
+					<span class="material-icons"> leaderboard </span>
+					ECCV 22 Challenge
+				</a>
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@@ -287,11 +291,12 @@ <h1>Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Proced
 		<h2>News</h2>
 		<hr>
 		<div class="row">
-			<div><span class="material-icons"> integration_instructions </span> [May 20th 2022] Code and models for the Action Recognition benchmark is now available on <a href="https://github.com/assembly-101/assembly101-action-recognition">github</a>. <strong style="color: red">[New]</strong></div>
-			<div><span class="material-icons"> integration_instructions </span> [May 17th 2022] Annotations for both fine-grained and coarse actions are now available on <a href="https://github.com/assembly-101/assembly101-annotations">github</a>. <strong style="color: red">[New]</strong></div>
-			<div><span class="material-icons"> integration_instructions </span> [May 2nd 2022] Scripts to download the videos are now available on <a href="https://github.com/assembly-101/assembly101-download-scripts">github</a>. <strong style="color: red">[New]</strong></div>
+			<div><span class="material-icons"> leaderboard </span> [August 8th 2022] <a href="https://codalab.lisn.upsaclay.fr/competitions/5256"> 3D Action Recognition Challenge </a> for Assembly101 is online. Results will be presented at the "<a href="https://sites.google.com/view/egocentric-hand-body-activity">Human Body, Hands, and Activities from Egocentric and Multi-view Cameras</a>" workshop at ECCV 22. <strong style="color: red">[New]</strong></div>
+			<div><span class="material-icons"> integration_instructions </span> [May 20th 2022] Code and models for the Action Recognition benchmark is now available on <a href="https://github.com/assembly-101/assembly101-action-recognition">github</a>. 
+			<div><span class="material-icons"> integration_instructions </span> [May 17th 2022] Annotations for both fine-grained and coarse actions are now available on <a href="https://github.com/assembly-101/assembly101-annotations">github</a>. 
+			<div><span class="material-icons"> integration_instructions </span> [May 2nd 2022] Scripts to download the videos are now available on <a href="https://github.com/assembly-101/assembly101-download-scripts">github</a>.
 			<div><span class="material-icons"> integration_instructions </span> [March 28th 2022] Dataset released on <a href="https://drive.google.com/drive/folders/1nh8PHwEw04zxkkkKlfm4fsR3IPEDvLKj?usp=sharing">Google Drive</a>.</div>
-			<div><span class="material-icons"> description </span> [March 28th 2022] Paper released on <a href="https://arxiv.org/pdf/2203.14712.pdf">arXiv</a>.</div>		
+			<div><span class="material-icons"> description </span> [March 28th 2022] Paper released on <a href="https://arxiv.org/pdf/2203.14712.pdf">arXiv</a>.</div>
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