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<div style="text-align: center; "> MOI2QDN Workshop at ICPR2020</div>
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Workshop on Metrification and Optimization of Input Image Quality in Deep Networks (MOI2QDN)</b></span></b><br>
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in conjunction with the</span></b></span></b></div>
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<div style="text-align: center;"><b style="color: inherit; font-family: inherit; font-size: inherit; font-style: inherit; font-variant-ligatures: inherit; font-variant-caps: inherit; background-color: ; text-align: center;"><span style="border-width:1pt; border-style:none; border-color:windowtext; padding:0cm; font-family:Arial,Helvetica,sans-serif; font-size:11pt; line-height:normal"><b style="text-align:start; line-height:normal"><span style="font-weight: 400; color: rgb(32, 31, 30);"> 25th
International Conference on Pattern Recognition (ICPR2020)</span></b></span></b></div>
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Milan, Italy, January 11, 2021</span></b></span></b></div>
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<span style="margin:0px; font-size:11pt; font-family:Arial"><font color="#000000" style=""><span style="font-family:Calibri,sans-serif; text-align:center"><span style="margin:0px; padding:0cm; border:1pt none windowtext; font-size:12pt; line-height:normal; color:rgb(51,51,51)"><a href="https://sites.google.com/my.westminster.ac.uk/moi2qdn/home" style="margin:0px; font-size:14.6667px; background-color:rgb(255,255,255)"><span style="margin:0px; font-size:11pt; font-family:Arial,Helvetica,sans-serif">https://sites.google.com/my.westminster.ac.uk/moi2qdn/home</span></a></span></span></font></span></div>
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<span style="margin:0px; font-size:14.6667px; background-color:rgb(255,255,255); display:inline!important"><span> </span>P A P E R S U B M I S S I O N I S N O W O P E N !</span><br style="background-color:rgb(255,255,255); font-size:14.6667px">
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<span style="margin:0px; font-size:14.6667px; background-color:rgb(255,255,255); display:inline!important"> * PLEASE NOTE THAT PAPERS NOT ACCEPTED IN THE ICPR2020 GENERAL *</span><br style="background-color:rgb(255,255,255); font-size:14.6667px">
<span style="margin:0px; font-size:14.6667px; background-color:rgb(255,255,255); display:inline!important"> SESSION AND FITTING MOI2QDN2020 TOPICS COULD BE SUBMITTED HERE</span><br>
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<span style="margin:0px; font-weight:400; color:rgb(32,31,30); background-color:rgb(255,255,255); display:inline!important"> *** Submission deadline: October 10, 2020 ***</span><br>
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<span style="margin:0px; font-size:11pt; font-family:Arial; color:rgb(0,0,0)"><b>CALL FOR PAPERS:</b></span></p>
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<span style="margin:0px; font-size:11pt; font-family:Arial; color:rgb(0,0,0)"></span></p>
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<span style="margin:0px; font-size:11pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Recent years have seen significant advances in image processing and computer vision applications based on Deep Neural Networks (DNNs). Often deep neural networks
for such applications are trained and validated based on the assumption that the images are artefact-free. However, in most real-time embedded system applications the images input to the networks, in addition to any variations of external conditions, have
artefacts introduced by the Image Signal Processing (ISP) pipelines.</span></p>
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<span style="margin:0px; font-size:11pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Despite recent advances in interpretability and explainability of deep neural models, DNNs remain widely systems whose operational boundaries cannot be explained
or otherwise quantified. It is therefore not clear the level of ISP distortions critical networks can tolerate, or the exact reasons for any performance degradation.</span></p>
<p style="margin-top: 0px; margin-bottom: 0px;margin-top:0px; margin-bottom:0px; margin-top:0px; margin-bottom:0px; margin-top:0px; margin-bottom:0px; margin:9pt 0cm 0.0001pt; font-size:12pt; background-color:rgb(255,255,255); font-family:"Times New Roman",serif; text-align:justify">
<span style="margin:0px; font-size:11pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">This workshop addresses the issues of performance quantification in DNNs and explore recent advances in the systematic analysis of the performance of deep
neural networks with respect to degradations in the input image quality due to the ISP pipeline and their proposed solutions.</span></p>
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<span style="margin:0px; font-size:11pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)"></span></p>
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<span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Topics of interest include (but are not limited) to:</span></p>
<ul style="font-size:12pt; text-align:start; background-color:rgb(255,255,255); color:rgb(0,0,0); font-family:Calibri,Arial,Helvetica,sans-serif; margin-bottom:0cm">
<li><span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Case studies investigating the performance of deep neural networks with respect to change in input image quality</span></li><li><span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Operational boundaries of DNNs with respect to input image quality</span></li><li><span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Input image quality metrics for deep neural networks</span></li><li><span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Optimisation of physical camera parameters and ISP pipelines for integrated DNNs embedded systems</span></li><li><span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Architectural structures of DNNs for optimising integrated ISP embedded systems</span></li></ul>
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<b style="color:rgb(0,0,0); font-family:Arial; font-size:11pt; font-style:inherit; font-variant-ligatures:inherit; font-variant-caps:inherit; text-align:start">PAPER SUBMISSON:</b><br>
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<span style="font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Submissions must be formatted in accordance with the</span><span style="font-size:11.5pt; font-family:Arial,sans-serif; color:rgb(33,33,33)"><span style="font-family:Arial,Helvetica,sans-serif"> </span></span><a href="https://www.google.com/url?q=https%3A%2F%2Fwww.springer.com%2Fgp%2Fcomputer-science%2Flncs%2Fconference-proceedings-guidelines&sa=D&sntz=1&usg=AFQjCNEKfHG_OWF-xZf2IZYd9nHgFBcftQ" target="_blank" style="font-family:Calibri,sans-serif; font-size:11pt"><span style="font-size:11.5pt; font-family:Arial,Helvetica,sans-serif">Springer's
Computer Science Proceedings guidelines</span></a><span style="font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">.</span><br>
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<span style="margin:0px; font-size:11pt; font-family:Arial; color:rgb(0,0,0)"></span></p>
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<span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">The following paper categories are welcome:</span></p>
<ul style="font-size:12pt; background-color:rgb(255,255,255); font-family:Calibri,Arial,Helvetica,sans-serif; margin-bottom:0cm">
<li><b><span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Full papers</span></b><span style="margin:0px; font-size:11.5pt; font-family:Arial,sans-serif; color:rgb(33,33,33)"><span style="font-family:Arial,Helvetica,sans-serif"> </span></span><span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">(12-15
pages, including references)</span></li><li><b><span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Short papers</span></b><span style="margin:0px; font-size:11.5pt; font-family:Lato,serif; color:rgb(33,33,33)"><span style="font-family:Arial,Helvetica,sans-serif"> </span></span><span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">(6-8
pages, including references)</span><br>
<br>
<span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Accepted manuscripts will be included in the ICPR 2020 Workshop Proceedings Springer volume.</span><span style="margin:0px; font-size:11.5pt; font-family:Lato,serif; color:rgb(33,33,33)"><span style="font-family:Arial,Helvetica,sans-serif"> </span></span><br>
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<span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Once accepted, at least one author is expected to attend the event and orally present the paper.</span><span style="margin:0px; font-size:11.5pt; font-family:Lato,serif; color:rgb(33,33,33)"><span style="font-family:Arial,Helvetica,sans-serif"> </span></span><br>
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<span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Papers can be submitted using</span><span style="margin:0px; font-size:11.5pt; font-family:Lato,serif; color:rgb(33,33,33)"><span style="font-family:Arial,Helvetica,sans-serif"> </span></span><a href="https://cmt3.research.microsoft.com/MOI2QDN2021" style="margin:0px"><span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif">Microsoft
CMT</span></a></li></ul>
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<span style="margin: 0px; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0)"><b>DATES:<span> </span></b></span></p>
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<span style="margin: 0px; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0)">Paper submission: 10 October 2020</span><br>
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<span style="margin: 0px; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0)">Notification: 10 November 2020</span></p>
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<span style="margin: 0px; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0)">Camera ready: 15 November 2020</span></p>
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<span style="margin: 0px; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0)">Workshop: 11 January 2021</span></p>
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<font color="#000000" face="Arial"><span style="margin:0px; font-size:14.6667px"><b>ORGANIZERS:</b></span></font></p>
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<span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">For any information please sent an email to one of the organisers:</span></p>
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<span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Alexandra Psarrou <</span><a href="mailto:psarroa@westminster.ac.uk" target="_blank" style="margin:0px"><span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif">psarroa@westminster.ac.uk</span></a><span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">></span></p>
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<span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Sophie Triantaphillidou <</span><a href="mailto:triants@westminster.ac.uk" target="_blank" style="margin:0px"><span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif">triants@westminster.ac.uk</span></a><span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">></span></p>
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<span style="margin:0px; font-size:11.5pt; font-family:Arial,Helvetica,sans-serif; color:rgb(33,33,33)">Markos Mentzelopoulos <mentzem@westminster.ac.uk></span></p>
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