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<p class="MsoNormal"><span style="color:black">Workshop:<span class="apple-converted-space"> </span><a href="https://openeyes-workshop.github.io/">https://openeyes-workshop.github.io/</a><br>
OpenEDS-Challenge:<span class="apple-converted-space"> </span><a href="http://research.fb.com/programs/openeds-2020-challenge/">https://research.fb.com/programs/openeds-2020-challenge/</a><br>
Workshop paper submission site:<a href="https://openreview.net/group?id=thecvf.com/ECCV/2020/Workshop/OpenEyes">https://openreview.net/group?id=thecvf.com/ECCV/2020/Workshop/OpenEyes</a><br>
Challenge-submission site:<span class="apple-converted-space"> </span><a href="https://urldefense.proofpoint.com/v2/url?u=https-3A__evalai.cloudcv.org_&d=DwMGaQ&c=5VD0RTtNlTh3ycd41b3MUw&r=A65ucQGShTXVBwNZJgiCh-YMeGrcHCNav2OEgSJUfd4&m=jEtvyFy1LPoGe0Z-Z9WKnp68znE2BA5BEgG3QWWm4Go&s=j-RHZoCkZOlSFdFsh_TwTzr_i8HK6NZOPrzFxbCxIPI&e="><span style="color:#954F72">https://evalai.cloudcv.org/</span></a><br>
Track 1:<span class="apple-converted-space"> </span><b><a href="https://evalai.cloudcv.org/web/challenges/challenge-page/605/overview" title="https://evalai.cloudcv.org/web/challenges/challenge-page/605/overview">Gaze Prediction Challenge</a></b><br>
Track 2:<span class="apple-converted-space"> </span><b><a href="https://evalai.cloudcv.org/web/challenges/challenge-page/603/overview" title="https://evalai.cloudcv.org/web/challenges/challenge-page/603/overview">Sparse Temporal Semantic Segmentation Challenge</a></b><br>
<br>
NO PURCHASE NECESSARY. Void where prohibited. Subject to full<span class="apple-converted-space"> </span><b>Official Rules</b><span class="apple-converted-space"> </span>[<a href="https://research.fb.com/wp-content/uploads/2020/04/Final_Rules_Gaze_Prediction.pdf">Gaze
Prediction</a>,<span class="apple-converted-space"> </span><a href="https://research.fb.com/wp-content/uploads/2020/04/Final_Sparse_Semantic_Segmentation.pdf">Sparse Temporal Semantic Segmentation</a>]<br>
<br>
It is our pleasure to announce that Facebook Reality Labs (FRL) in collaboration with our academic partners from team-GAZE will organize a joint full-day workshop at ECCV 2020 in Glasgow, UK. Specifically, this event is a combination of the<span class="apple-converted-space"> </span><a href="https://research.fb.com/programs/the-2019-openeds-workshop-eye-tracking-for-vr-and-ar/">OpenEDS
workshop</a><span class="apple-converted-space"> </span>(organized by FRL at ICCV 2019) and the<span class="apple-converted-space"> </span><a href="https://gazeworkshop.github.io/">Gaze Estimation and Prediction workshop</a><span class="apple-converted-space"> </span>(organized
by team-GAZE at ICCV 2019).<span class="apple-converted-space"> </span><br>
<br>
Track-2 of this workshop will host two challenges that are structured around 2D eye-image datasets that we have collected using a prototype VR head mounted device. More information about these challenges is available at:<a href="http://research.fb.com/programs/openeds-2020-challenge/">https://research.fb.com/programs/openeds-2020-challenge/</a></span><o:p></o:p></p>
<h3 style="caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="color:black">Call for Papers</span><o:p></o:p></h3>
<p class="MsoNormal" style="caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="color:black">In addition to soliciting participation in workshop challenge, the workshop is also soliciting papers covering a list of topics that are of particular interest to the organizing committee.</span><o:p></o:p></p>
<ul style="margin-top:0in;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" type="disc">
<li class="MsoNormal" style="color:black;mso-list:l3 level1 lfo3">Proposal of novel eye detection, gaze estimation pipelines using deep neural networks that incorporate one or all of the following:<o:p></o:p></li><ul style="margin-top:0in" type="circle">
<li class="MsoNormal" style="color:black;mso-list:l3 level2 lfo3">Geometric/anatomical constraints into the network in a differentiable manner.<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l3 level2 lfo3">Demonstration of robustness to conditions where current methods fail (illumination, appearance, low-resolution etc.).<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l3 level2 lfo3">Robust estimation from different data modalities such as RGB, depth, and near IR.<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l3 level2 lfo3">Use of additional cues, such as task context, temporal data, eye movement classification.<o:p></o:p></li></ul>
<li class="MsoNormal" style="color:black;mso-list:l3 level1 lfo3">Designing new, accurate metrics to account for rapid eye movements in the real world.<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l3 level1 lfo3">Semi-/un-/self-supervised learning, meta-learning, domain adaptation, attention mechanisms and other related machine learning methods for gaze estimation.<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l3 level1 lfo3">Methods for temporal gaze estimation and prediction including Bayesian methods.<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l3 level1 lfo3">Unsupervised semantic segmentation of eye regions.<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l3 level1 lfo3">Active learning frameworks for semantic segmentation of eye images.<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l3 level1 lfo3">Generative models for eye image synthesis and gaze estimation.<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l3 level1 lfo3">Transfer learning for eye tracking from simulation data to real data.<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l3 level1 lfo3">Domain transfer applications for eye tracking.<o:p></o:p></li></ul>
<p class="MsoNormal" style="caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="color:black">The tentative schedule for paper submissions is as follows:</span><o:p></o:p></p>
<ul style="margin-top:0in;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" type="disc">
<li class="MsoNormal" style="color:black;mso-list:l1 level1 lfo6">Workshop paper submission due: 5th of June<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l1 level1 lfo6">Paper review due: 29th of June<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l1 level1 lfo6">Decision notification: 3rd of July (same as the main ECCV conference)<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l1 level1 lfo6">Camera-ready submission: 17th of July (same as the main ECCV conference)<o:p></o:p></li></ul>
<p class="MsoNormal" style="caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<b><span style="color:black">**Submission Guidelines</span></b><span style="color:black">**<br>
We invite authors to submit unpublished papers (14-page<span class="apple-converted-space"> </span><a href="https://eccv2020.eu/author-instructions/">ECCV format</a>) to our workshop, to be presented at a poster session upon acceptance. All submissions will
go through a double-blind review process. All contributions must be submitted (along with supplementary materials, if any) at<span class="apple-converted-space"> </span><a href="https://openreview.net/group?id=thecvf.com/ECCV/2020/Workshop/OpenEyes">this OpenReview
link</a>.<br>
<br>
<b>Important dates for Workshop paper submission</b>:<br>
June 5th, 2020 Paper submission deadline<br>
July 3rd, 2020 Notification to authors<br>
July 17th, 2020 Camera-ready deadline<br>
Aug 23rd, 2020 Workshop date<br>
<br>
<b>Important dates for Workshop Challenge participation:</b><br>
April 10th 2020 through July 31st 2020, Challenge Active<br>
Aug 10th 2020, Notification to Winners<br>
Aug 23rd, 2020, Winner Announcement and Prize Distribution<br>
<br>
<b>Organizing Committee</b><br>
<b><i>Workshop Track -1 :</i></b><br>
Hyung Jin Chang, Univ. of Birmingham<br>
Seonwook Park, ETH Zurich<br>
Xucong Zhang, ETH Zurich<br>
Otmar Hilliges, ETH Zurich<br>
Ales Leonardis, Univ. of Birminghan<br>
<br>
<b><i>Workshop Track -2 and OpenEDS 2020 Challenge:</i></b><br>
</span><span style="color:#333333">Robert Cavin, Facebook Reality Labs</span><span style="color:black"><br>
</span><span style="color:#333333">Jixu Chen, Facebook</span><span style="color:black"><br>
</span><span style="color:#333333">Alexander Fix, Facebook Reality Labs</span><span style="color:black"><br>
</span><span style="color:#333333">Elias Guestrin, Facebook Reality Labs</span><span style="color:black"><br>
</span><span style="color:#333333">Oleg Komogortsev, Visiting Professor Facebook Reality Labs</span><span style="color:black"><br>
</span><span style="color:#333333">Kapil Krishnakumar, Facebook</span><span style="color:black"><br>
</span><span style="color:#333333">Tarek Hefny, Facebook Reality Labs</span><span style="color:black"><br>
</span><span style="color:#333333">Karsten Behrendt, Facebook</span><span style="color:black"><br>
</span><span style="color:#333333">Cristina Palmero, Intern, Facebook Reality Labs</span><span style="color:black"><br>
</span><span style="color:#333333">Abhishek Sharma, Facebook Reality Labs</span><span style="color:black"><br>
</span><span style="color:#333333">Yiru Shen, Facebook Reality Labs</span><span style="color:black"><br>
</span><span style="color:#333333">Sachin S. Talathi, Facebook Reality Labs</span><span style="color:black"><br>
<br>
<b>** Contact</b><span class="apple-converted-space"> </span>**<br>
Workshop Track-1: Hyung Jin Chang<span class="apple-converted-space"> </span><a href="mailto:h.j.chang@bham.ac.uk">h.j.chang@bham.ac.uk</a><br>
Workshop Track-2 and OpenEDS 2020 Challenge:<span class="apple-converted-space"> </span><a href="mailto:openeds2020@fb.com">openeds2020@fb.com</a></span><o:p></o:p></p>
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