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<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-size:11.0pt;font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB">Call for paper<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-size:11.0pt;font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB">CVPR 2017 workshop on<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-size:11.0pt;font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB">DeepVision: Temporal Deep Learning (TDL)
<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB"><a href="http://deep-vision.net/">http://deep-vision.net/</a><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB">26 July 2017, Honolulu, Hawaii, USA<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-size:11.0pt;font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB">The computer vision community over the past few years has been dominated by deep learning
based techniques. These techniques have, however, been mostly focused on still images, although many new publicly available data and high impact applications benefit from video recordings. Videos contain valuable temporal information that can be exploited
to achieve better performance. Exploiting temporal information is of great importance in computer vision applications, like object tracking and recognition, scene analysis and understanding, etc. Deep learning based techniques are challenged to employ temporal
information in such applications. Although some advances have been performed in this direction, mainly involving 3D convolutions, motion-based input features, or deep temporal- based models such as RNN-LSTM, significant advances are expected to be performed
in this field. </span><span lang="EN-GB" style="font-size:11.0pt;font-family:"MS Gothic";color:black;mso-fareast-language:EN-GB">
</span><span lang="EN-GB" style="font-size:11.0pt;font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB">Papers
on <b>deep learning </b>techniques utilizing <b>temporal </b>information on any of the following topics can be covered by the workshop:</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-size:11.0pt;font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB">TDL object recognition </span><span lang="EN-GB" style="font-size:11.0pt;font-family:"MS Gothic";color:black;mso-fareast-language:EN-GB">
</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-size:11.0pt;font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB">TDL object tracking </span><span lang="EN-GB" style="font-size:11.0pt;font-family:"MS Gothic";color:black;mso-fareast-language:EN-GB">
</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-size:11.0pt;font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB">TDL scene analysis </span><span lang="EN-GB" style="font-size:11.0pt;font-family:"MS Gothic";color:black;mso-fareast-language:EN-GB">
</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-size:11.0pt;font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB">TDL shape analysis </span><span lang="EN-GB" style="font-size:11.0pt;font-family:"MS Gothic";color:black;mso-fareast-language:EN-GB">
</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-size:11.0pt;font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB">TDL crowd analysis </span><span lang="EN-GB" style="font-size:11.0pt;font-family:"MS Gothic";color:black;mso-fareast-language:EN-GB">
</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-size:11.0pt;font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB">TDL human body motion analysis </span><span lang="EN-GB" style="font-size:11.0pt;font-family:"MS Gothic";color:black;mso-fareast-language:EN-GB">
</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-size:11.0pt;font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB">TDL facial analysis systems </span><span lang="EN-GB" style="font-size:11.0pt;font-family:"MS Gothic";color:black;mso-fareast-language:EN-GB">
</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-size:11.0pt;font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB">New TDL models </span><span lang="EN-GB" style="font-size:11.0pt;font-family:"MS Gothic";color:black;mso-fareast-language:EN-GB">
</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB" style="font-size:11.0pt;font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB">New applications of TDL </span><span lang="EN-GB" style="font-size:11.0pt;font-family:"MS Gothic";color:black;mso-fareast-language:EN-GB">
</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;color:black;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">The submitted papers are limited to eight pages, including figures and tables, in the CVPR style. Additional pages containing only cited references are allowed. CVPR guidelines and templates
given in the following page should be used:<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB"><a href="http://cvpr2017.thecvf.com/submission/main_conference/author_guidelines">http://cvpr2017.thecvf.com/submission/main_conference/author_guidelines</a><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">The accepted papers will be presented as posters at deep vision workshop and will be published in CVPR proceedings.
<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Important dates:<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Submission deadline: March 10<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Decision to authors: April 5<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Camera ready: April 8<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Submission through CMT at:<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB"><a href="https://cmt3.research.microsoft.com/DV2017/">https://cmt3.research.microsoft.com/DV2017/</a><o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Organizing committee:<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Kamal Nasrollahi (primary contact regarding paper submission: kn@create.aau.dk), Jose Alvarez Lopez, Sergio Escalera, Nathan Silberman, Ajmal Mian, Dhruv Batra, Gholamreza Anbarjafari, Yann
LeCun , and Thomas B. Moeslund<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><b><span lang="EN-GB">Invited Speakers:<o:p></o:p></span></b></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">DeepVision:<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Gabriel Kreiman<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Sanja Fidler<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Raia Hadsell<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Hugo Larochelle<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Lior Wolf<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Temporal Deep Learning:<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Maja Pantic<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Trevor Darrell<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB">Xiaogang Wang<o:p></o:p></span></p>
<p class="MsoNormal" style="text-align:justify"><span lang="EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
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