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<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">=================================================================<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">CALL FOR PAPERS<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">The 2nd Workshop on Physics Based Vision
Meets Deep Learning (PBDL)<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">In Conjunction with ICCV 2019, November 2, Seoul,
Korea<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US"><a href="https://pbdl2019.github.io/">https://pbdl2019.github.io/</a><span></span></span></p>
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<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">Following the success of 1st ICCV Workshop
on Physics Based Vision Meets Deep Learning (PBDL2017). We propose the 2nd
workshop using the same title and topics with ICCV 2019. The goal is to
encourage the interplay between physics based vision and deep learning. Physics
based vision aims to invert the processes to recover the scene properties, such
as shape, reflectance, light distribution, medium properties, etc., from
images. In recent years, deep learning shows promising improvement for various
vision tasks. When physics based vision meets deep learning, there must be
mutual benefits. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">We welcome submissions of new methods in
the classic physics based vision problems, but preference will be given to
novel insights inspired by utilizing deep learning techniques. Relevant topics
include but are not limited to<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Photometric 3D reconstruction<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Polarimetric 3D reconstruction<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Radiometric modeling/calibration of
cameras<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Illumination analysis and estimation<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Reflectance modeling, fitting, and
analysis<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Inverse graphics<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Material recognition and classification<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Reflection removal<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Intrinsic image decomposition<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Transparency and multi-layer imaging<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Vision in bad weather (dehaze, derain,
etc.)<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Bio-inspired sensors<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Multimodal sensor fusion<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Light field imaging<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Color constancy<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">- Multispectral/hyperspectral capture,
modeling and analysis<span></span></span></p>
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<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">Important Dates:<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">Submission deadline: August 2, 2019 (23:59
Pacific Time)<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">Decisions to authors: August 23, 2019<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">Camera-ready deadline: August 30, 2019<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">Workshop date: November 2, 2019 (AM only)<span></span></span></p>
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<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">Submission: <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN">Paper submission
is through CMT:</span><span lang="EN-US"> <a href="https://cmt3.research.microsoft.com/pbdl2019">https://cmt3.research.microsoft.com/pbdl2019</a><span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">The format for paper submission is the same
as the ICCV 2019 submission format. Papers that violates the anonymity, do not
use the ICCV submission template or have more than 8 pages (excluding
references) will be rejected without review. The accepted papers will appear in
the proceedings of ICCV 2019 workshops. In submitting a manuscript to this
workshop, the authors acknowledge that no paper substantially similar in
content has been submitted to another workshop or conference during the review
period.<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">------------------------------------------------------------<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">Organizers:<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><a name="OLE_LINK18"><span lang="EN-US">Yu Li</span></a><span lang="EN-US">, Tencent, China<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><a name="OLE_LINK14"></a><a name="OLE_LINK13"><span><span lang="EN-US">Ying Fu</span></span></a><span lang="EN-US">, <a name="OLE_LINK17"></a><a name="OLE_LINK16"></a><a name="OLE_LINK15"><span><span>Beijing Institute of Technology</span></span></a>, China<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><a name="OLE_LINK4"></a><a name="OLE_LINK3"><span><span lang="EN-US">Shaodi You</span></span></a><span lang="EN-US">, <a name="OLE_LINK6"></a><a name="OLE_LINK5"><span>Data61-CSIRO</span></a> & <a name="OLE_LINK9"></a><a name="OLE_LINK8"></a><a name="OLE_LINK7"><span><span>Australian National University</span></span></a>,
Australia<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">Yinqiang Zheng, National Institute of
Informatics, Japan<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">Feng Lu, Beihang University, China<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><a name="OLE_LINK11"></a><a name="OLE_LINK10"><span><span lang="EN-US">Boxin Shi</span></span></a><span lang="EN-US">, Peking University, China<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">Robby T. Tan, Yale-NUS College & <a name="OLE_LINK2"></a><a name="OLE_LINK1"><span>National
University of Singapore, Singapore</span></a><span></span></span></p>
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<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">Contact:<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">For any inquiries regarding the workshop,
please contact:</span><span lang="EN-US"> <a href="mailto:pbdl.ws@gmail.com">pbdl.ws@gmail.com</a><span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-US">=================================================================<span></span></span></p>
<br clear="all"><br>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature">YOU, Shaodi<br><a href="mailto:youshaodi@gmail.com" target="_blank">youshaodi@gmail.com</a><br><br></div></div>