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<b style="font-size: 12pt; font-style: inherit; font-variant-ligatures: inherit; font-variant-caps: inherit; color: rgb(51, 51, 51); font-family: Calibri, Helvetica, sans-serif;">Call for Participation: Workshop on Fine Grained Activity Detection and OpenFAD22
Evaluation (Jan 2023)</b><br>
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<span style="color:rgb(51,51,51); font-family:Lato,"Helvetica Neue",Helvetica,Arial,sans-serif; text-align:left; background-color:rgb(255,255,255); display:inline!important"><span style="color:rgba(0,0,0,0.9); font-family:Calibri,Helvetica,sans-serif; font-size:12pt; text-align:start; background-color:rgb(255,255,255); display:inline!important">The
First </span><span style="color:rgba(0,0,0,0.9); font-size:14px; text-align:start; background-color:rgb(255,255,255); display:inline!important"><a href="https://openfad.nist.gov/workshop/fgad23" data-auth="NotApplicable" title="https://openfad.nist.gov/workshop/fgad23"><span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif">Workshop
on Fine-grained Activity Detection </span></a></span><span style="color:rgba(0,0,0,0.9); font-family:Calibri,Helvetica,sans-serif; font-size:12pt; text-align:start; background-color:rgb(255,255,255); display:inline!important">will be held at
</span><span style="color:rgba(0,0,0,0.9); font-size:14px; text-align:start; background-color:rgb(255,255,255); display:inline!important"><a href="https://wacv2023.thecvf.com/home" data-auth="NotApplicable" title="https://wacv2023.thecvf.com/home"><span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif">WACV'23</span></a></span><span style="color:rgba(0,0,0,0.9); font-family:Calibri,Helvetica,sans-serif; font-size:12pt; text-align:start; background-color:rgb(255,255,255); display:inline!important">,
January 3 or 7, 2023. The workshop will focus on fine grained activity detection in hand-held video. OpenFAD22 evaluation tasks in these
<a href="https://visym.github.io/cap/" title="https://visym.github.io/cap/">dataset</a> include activity classification, activity and object detection and localization, action prediction, episodic memory for object instance retrieval, object interactions with
hands/tools/people, speaker prediction and scene diarization in long duration videos.</span><br>
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<span style="color:rgb(51,51,51); font-family:Calibri,Helvetica,sans-serif; text-align:left; background-color:rgb(255,255,255); display:inline!important; font-size:12pt">We will have three invited keynote talks from experts in the field. We will also have two
talks from the top performers on the</span><span style="color:rgb(51,51,51); font-family:Lato,"Helvetica Neue",Helvetica,Arial,sans-serif; text-align:left; background-color:rgb(255,255,255); display:inline!important"><span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif"> </span></span><a href="https://openfad.nist.gov/#pills-overview" data-auth="NotApplicable" style="box-sizing:border-box; color:rgb(51,122,183); background:none rgb(255,255,255); border:none; font-family:Lato,"Helvetica Neue",Helvetica,Arial,sans-serif; text-align:left"><span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif">Open
Fine-grained Activity Detection (OpenFAD)</span></a><span style="color:rgb(51,51,51); font-family:Lato,"Helvetica Neue",Helvetica,Arial,sans-serif; text-align:left; background-color:rgb(255,255,255); display:inline!important"><span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif"> </span></span><span style="color:rgb(51,51,51); font-family:Calibri,Helvetica,sans-serif; text-align:left; background-color:rgb(255,255,255); display:inline!important; font-size:12pt">Activity
Classification challenge that uses the</span><span style="color:rgb(51,51,51); font-family:Lato,"Helvetica Neue",Helvetica,Arial,sans-serif; text-align:left; background-color:rgb(255,255,255); display:inline!important"><span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif"> </span></span><a href="https://visym.github.io/cap" data-auth="NotApplicable" style="box-sizing:border-box; color:rgb(51,122,183); background:none rgb(255,255,255); border:none; font-family:Lato,"Helvetica Neue",Helvetica,Arial,sans-serif; text-align:left"><span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif">Consented
Activities of People (CAP)</span></a><span style="color:rgb(51,51,51); font-family:Lato,"Helvetica Neue",Helvetica,Arial,sans-serif; text-align:left; background-color:rgb(255,255,255); display:inline!important"><span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif"> </span></span><span style="color:rgb(51,51,51); font-family:Calibri,Helvetica,sans-serif; text-align:left; background-color:rgb(255,255,255); display:inline!important; font-size:12pt">dataset.
We will select paper submissions to be published in the WACV’23 proceedings after a double-blind review on topics related to activity classification and detection. The workshop will provide a platform for researchers to share research experiences and foster
collaboration.</span><br>
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<span style="color:rgb(51,51,51); font-family:Calibri,Helvetica,sans-serif; text-align:left; background-color:rgb(255,255,255); display:inline!important; font-size:12pt"><b>Organizers: </b> Jeffrey Byrne, Jonathan Fiscus, Yooyoung Lee, Yogesh Rawat, Hilde Kuehne,
Mubarak Shah, Alex Hauptmann, Rama Chellappa</span><span style="color:rgb(51,51,51); font-family:Lato,"Helvetica Neue",Helvetica,Arial,sans-serif; text-align:left; background-color:rgb(255,255,255); display:inline!important"><br>
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<span style="color:rgb(51,51,51); font-family:Calibri,Helvetica,sans-serif; text-align:left; background-color:rgb(255,255,255); display:inline!important; font-size:12pt"><b>Workshop on Fine Grained Activity Detection Website:</b> </span><span style="color:rgb(51,51,51); font-family:Lato,"Helvetica Neue",Helvetica,Arial,sans-serif; text-align:left; background-color:rgb(255,255,255); display:inline!important"><a href="https://openfad.nist.gov/workshop/fgad23" data-auth="NotApplicable" id="LPlnk277899"><span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif">https://openfad.nist.gov/workshop/fgad23</span></a></span></div>
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<span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif"><b>OpenFAD22 Evaluation Website:</b> </span><a href="https://openfad.nist.gov/" data-auth="NotApplicable" id="LPlnk851766"><span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif">https://openfad.nist.gov/</span></a><br>
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<div class="x_PlainText"><span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif"><b>Contact</b></span><br>
<span style="font-size:12pt; font-family:Calibri,Helvetica,sans-serif">If you have any question, please email to the OpenFAD team: fad-te@list.nist.gov</span><br>
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