<div dir="ltr"><div dir="ltr"><div class="gmail_default" style="font-size:small"><div><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>When:</b>    </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit">  Monday, November 18th at 11:00 am</font></font><br></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"> </font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>Where:</b>     </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit">TTIC, 6045 S. Kenwood Avenue, 5th Floor, Room 526</font></font></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"> </font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>Who: </b>       </font></font></font>David Forsyth, University of Illinois at Urbana-Champaign</p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit">    </font></font></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit">  </font></font></font></p></div><div><div><font face="arial, sans-serif"><b>Title:        </b></font>Extending Intrinsic Images with Authorable Image Decompositions</div><div><br></div><div><font face="arial, sans-serif"><b>Abstract: </b></font>An intrinsic image decomposition breaks images into components that explain the image.  Intrinsic components are object properties like albedo; extrinsic components</div>are properties of viewing conditions, like shading.  The original intrinsic image decomposition algorithm, Retinex, decomposes an image into albedo and shading.  However, there </div><div>are many other intrinsic and extrinsic effects one could investigate.  For example, surface relief produces complex shading effects that are essentially intrinsic.  As another example,<br>gloss effects are extrinsic, but very different from shading effects.  Retinex is “learned” but uses essentially no training data; instead, it uses a model of the spatial structure of<br>intrinsic image maps.  Modern practice has been to learn albedo-shading decompositions from rendered data using a regression strategy.  It is very difficult to extend this approach<br>to handle a wider range of intrinsic and extrinsic effects.  I will show that decompositions into two intrinsic and two extrinsic layers are easily learned using paradigms — fake<br>data items that capture important spatial statistics.  I will demonstrate these decompositions on a wide range of applications and datasets.  Why this approach works remains somewhat<br>mysterious, but suggests interesting lines of thought about what neural networks do.<div><font face="arial, sans-serif"><br></font></div><div><b style="font-family:arial,sans-serif">Host:</b><span style="font-family:arial,sans-serif"> </span><a href="mailto:avrim@ttic.edu" target="_blank"><font face="arial, sans-serif">A</font>vrim Blum</a><br></div><div><br></div><div><br></div><div><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">For more information on the </span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">colloquium</span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif"> series or to subscribe to the mailing list, please see </span><a href="http://www.ttic.edu/colloquium.php" target="_blank" style="font-size:12.8px;font-family:arial,helvetica,sans-serif">http://www.ttic.edu/colloquium.php</a>  <br></div><div><br></div></div><div><br></div></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><font face="arial, helvetica, sans-serif">Mary C. Marre</font><div><font face="arial, helvetica, sans-serif">Administrative Assistant</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">6045 S. Kenwood Avenue</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Room 517</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL  60637</font></i></div><div><i><font face="arial, helvetica, sans-serif">p:(773) 834-1757</font></i></div><div><i><font face="arial, helvetica, sans-serif">f: (773) 357-6970</font></i></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div></div></div></div></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Sun, Nov 17, 2019 at 6:35 PM Mary Marre <<a href="mailto:mmarre@ttic.edu">mmarre@ttic.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div dir="ltr"><div style="font-size:small"><div><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>When:</b>    </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit">  Monday, November 18th at 11:00 am</font></font><br></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"> </font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>Where:</b>     </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit">TTIC, 6045 S. Kenwood Avenue, 5th Floor, Room 526</font></font></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"> </font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>Who: </b>       </font></font></font>David Forsyth, University of Illinois at Urbana-Champaign</p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit">    </font></font></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit">  </font></font></font></p></div><div><div><font face="arial, sans-serif"><b>Title:        </b></font>Extending Intrinsic Images with Authorable Image Decompositions</div><div><br></div><div><font face="arial, sans-serif"><b>Abstract: </b></font>An intrinsic image decomposition breaks images into components that explain the image.  Intrinsic components are object properties like albedo; extrinsic components</div>are properties of viewing conditions, like shading.  The original intrinsic image decomposition algorithm, Retinex, decomposes an image into albedo and shading.  However, there </div><div>are many other intrinsic and extrinsic effects one could investigate.  For example, surface relief produces complex shading effects that are essentially intrinsic.  As another example,<br>gloss effects are extrinsic, but very different from shading effects.  Retinex is “learned” but uses essentially no training data; instead, it uses a model of the spatial structure of<br>intrinsic image maps.  Modern practice has been to learn albedo-shading decompositions from rendered data using a regression strategy.  It is very difficult to extend this approach<br>to handle a wider range of intrinsic and extrinsic effects.  I will show that decompositions into two intrinsic and two extrinsic layers are easily learned using paradigms — fake<br>data items that capture important spatial statistics.  I will demonstrate these decompositions on a wide range of applications and datasets.  Why this approach works remains somewhat<br>mysterious, but suggests interesting lines of thought about what neural networks do.<div><font face="arial, sans-serif"><br></font></div><div><b style="font-family:arial,sans-serif">Host:</b><span style="font-family:arial,sans-serif"> </span><a href="mailto:avrim@ttic.edu" target="_blank"><font face="arial, sans-serif">A</font>vrim Blum</a><br></div><div><br></div><div><br></div><div><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">For more information on the </span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">colloquium</span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif"> series or to subscribe to the mailing list, please see </span><a href="http://www.ttic.edu/colloquium.php" style="font-size:12.8px;font-family:arial,helvetica,sans-serif" target="_blank">http://www.ttic.edu/colloquium.php</a>  <br></div><div><br></div></div><div><br></div></div><div><div dir="ltr"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><font face="arial, helvetica, sans-serif">Mary C. Marre</font><div><font face="arial, helvetica, sans-serif">Administrative Assistant</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">6045 S. Kenwood Avenue</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Room 517</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL  60637</font></i></div><div><i><font face="arial, helvetica, sans-serif">p:(773) 834-1757</font></i></div><div><i><font face="arial, helvetica, sans-serif">f: (773) 357-6970</font></i></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div></div></div></div></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Mon, Nov 11, 2019 at 6:35 PM Mary Marre <<a href="mailto:mmarre@ttic.edu" target="_blank">mmarre@ttic.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div style="font-size:small"><div><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>When:</b>    </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit">  Monday, November 18th at 11:00 am</font></font><br></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"> </font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>Where:</b>     </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit">TTIC, 6045 S. Kenwood Avenue, 5th Floor, Room 526</font></font></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"> </font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>Who: </b>       </font></font></font>David Forsyth, University of Illinois at Urbana-Champaign</p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit">    </font></font></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit">  </font></font></font></p></div><div><div><font face="arial, sans-serif"><b>Title:        </b></font>Extending Intrinsic Images with Authorable Image Decompositions</div><div><br></div><div><font face="arial, sans-serif"><b>Abstract: </b></font>An intrinisc image decomposition breaks images into components that explain the image.  Intrinsic components are object properties like albedo; extrinsic components</div>are properties of viewing conditions, like shading.  The original intrinsic image decomposition algorithm, Retinex, decomposes an image into albedo and shading.  However, there </div><div>are many other intrinsic and extrinsic effects one could investigate.  For example, surface relief produces complex shading effects that are essentially intrinsic.  As another example,<br>gloss effects are extrinsic, but very different from shading effects.  Retinex is “learned” but uses essentially no training data; instead, it uses a model of the spatial structure of<br>intrinsic image maps.  Modern practice has been to learn albedo-shading decompositions from rendered data using a regression strategy.  It is very difficult to extend this approach<br>to handle a wider range of intrinsic and extrinsic effects.  I will show that decompositions into two intrinsic and two extrinsic layers are easily learned using paradigms — fake<br>data items that capture important spatial statistics.  I will demonstrate these decompositions on a wide range of applications and datasets.  Why this approach works remains somewhat<br>mysterious, but suggests interesting lines of thought about what neural networks do.<div><font face="arial, sans-serif"><br></font></div><div><b style="font-family:arial,sans-serif">Host:</b><span style="font-family:arial,sans-serif"> </span><a href="mailto:avrim@ttic.edu" target="_blank"><font face="arial, sans-serif">A</font>vrim Blum</a><br></div><div><br></div><div><br></div><div><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">For more information on the </span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif"><span>colloquium</span></span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif"> series or to subscribe to the mailing list, please see </span><a href="http://www.ttic.edu/colloquium.php" style="font-size:12.8px;font-family:arial,helvetica,sans-serif" target="_blank">http://www.ttic.edu/<span>colloquium</span>.php</a>  <br></div><div><br></div></div><div><br></div></div><div><div dir="ltr"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><font face="arial, helvetica, sans-serif">Mary C. Marre</font><div><font face="arial, helvetica, sans-serif">Administrative Assistant</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">6045 S. Kenwood Avenue</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Room 517</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL  60637</font></i></div><div><i><font face="arial, helvetica, sans-serif">p:(773) 834-1757</font></i></div><div><i><font face="arial, helvetica, sans-serif">f: (773) 357-6970</font></i></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
</blockquote></div></div>
</blockquote></div></div>