<html><head><meta http-equiv="Content-Type" content="text/html; charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div dir="auto" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div dir="auto" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div class=""><span class="" style="font-size: 14px; orphans: 2; widows: 2;">UNIVERSITY OF CHICAGO</span><br class="" style="font-size: 14px; orphans: 2; widows: 2;"><span class="" style="font-size: 14px; orphans: 2; widows: 2;">DEPARTMENT OF COMPUTER SCIENCE</span></div><div class="" style="orphans: 2; widows: 2;"><span class="" style="font-size: 14px;">PRESENTS</span></div><div class="" style="orphans: 2; widows: 2;"><span class="" style="font-size: 14px;"><br class=""></span></div><div class="" style="orphans: 2; widows: 2;"><img apple-inline="yes" id="30C849C4-1750-4663-B4E6-054CC690E252" src="cid:3A63E2AD-4DE6-4F30-A659-B56C4BEE8840@cs.uchicago.edu" class=""></div><div class="" style="orphans: 2; widows: 2;"><br class=""></div><div class="" style="orphans: 2; widows: 2;"><div class="" style="margin: 0in 0in 0.0001pt;"><span style="font-size: 14px;" class=""><b class="">Michael Maire</b></span></div><div class="" style="margin: 0in 0in 0.0001pt;"><span class="" style="font-size: 14px;"><span class=""><i class="">Toyota Technological Institute at Chicago (TTIC)</i></span></span></div><div class="" style="margin: 0in 0in 0.0001pt;"><br class=""></div><div class="" style="margin: 0in 0in 0.0001pt;"><b class=""><font class="" style="font-size: 14px;"><br class=""></font></b></div><div class="" style="margin: 0in 0in 0.0001pt;"><span class="" style="font-size: 14px;"><b class=""><font class="">Monday, April 9, 2018 at 2:30 pm <br class="">Ryerson 251</font></b><br class=""></span></div></div><div class="" style="orphans: 2; widows: 2;"><span class="" style="font-size: 14px;"><br class=""></span></div><div class=""><br class=""></div><div class=""><div class=""><b class="" style="color: rgb(33, 33, 33); font-family: Roboto, Helvetica, Arial, sans-serif; font-size: 14px;">Title: </b><span class="" style="color: rgb(33, 33, 33); font-family: Roboto, Helvetica, Arial, sans-serif; font-size: 14px;">Architecting Deep Convolutional Neural Networks for Computer Vision</span></div><div class="" style="color: rgb(33, 33, 33); font-family: Roboto, Helvetica, Arial, sans-serif; font-size: 14px;"><b class=""><br class=""></b></div><div class="" style="color: rgb(33, 33, 33); font-family: Roboto, Helvetica, Arial, sans-serif; font-size: 14px;"><b class="">Abstract:</b></div><div class=""><font color="#212121" face="Roboto, Helvetica, Arial, sans-serif" class=""><span class=""><span style="font-size: 14px;" class="">Deep convolutional neural networks (CNNs) are central to modern computer vision systems. In this talk, I will present recent work exploring ideas about both CNN architectures and training procedures. I will connect novel architectural design principles with specific capabilities exhibited by networks implementing them. Of particular importance is a multigrid extension of CNNs, in which network layers operate across scale space. Multigrid structure enables networks to learn internal attention and dynamic routing mechanisms, and use them to accomplish visual tasks which standard CNNs fail. On the training side, I will discuss pathways for scaling visual learning beyond current supervised approaches. Self-supervision, by deriving informative tasks from unlabeled data, provides one such route. In addition to our work in this area, I will also discuss a new regularization technique that squeezes more information from detailed and structured labels when training CNNs in a supervised fashion.<br class=""><br class=""></span></span></font><b class="" style="color: rgb(33, 33, 33); font-family: Roboto, Helvetica, Arial, sans-serif; font-size: 14px;">Bio:</b></div><div class=""><font color="#212121" face="Roboto, Helvetica, Arial, sans-serif" class=""><span style="font-size: 14px;" class="">Michael Maire is a Research Assistant Professor at the Toyota Technological Institute at Chicago (TTIC). He received a B.S. with honors from the California Institute of Technology (Caltech) in 2003, and a Ph.D. in computer science from the University of California, Berkeley, in 2009. Prior to joining TTIC, he was a postdoctoral scholar in the Department of Electrical Engineering at Caltech.</span></font></div><div class=""><span class="" style="color: rgb(33, 33, 33); font-family: Roboto, Helvetica, Arial, sans-serif; font-size: 14px;"><br class=""></span></div><div class=""><div class="" style="color: rgb(33, 33, 33); font-family: Roboto, Helvetica, Arial, sans-serif; font-size: 14px;"><b class="">Host: Fred Chong</b></div><div class="" style="color: rgb(33, 33, 33); font-family: Roboto, Helvetica, Arial, sans-serif; font-size: 14px;"><br class=""></div><div class="" style="color: rgb(33, 33, 33); font-family: Roboto, Helvetica, Arial, sans-serif;"><i class=""><font size="2" class="">Refreshments served after the talk in Ry. 255</font></i></div><div class="" style="color: rgb(33, 33, 33); font-family: Roboto, Helvetica, Arial, sans-serif;"><i class=""><font size="2" class=""><br class=""></font></i></div><div class="" style="color: rgb(33, 33, 33); font-family: Roboto, Helvetica, Arial, sans-serif;"><i class=""><font size="2" class=""><b class="" style="font-size: 12px; font-style: normal;"><i class="">Link to PDF: </i></b></font></i><a href="https://www.cs.uchicago.edu/sites/cs/files/uploads/seminar_announcements/Maire%20poster.pdf" class="">https://www.cs.uchicago.edu/sites/cs/files/uploads/seminar_announcements/Maire%20poster.pdf</a></div></div></div></div></div></body></html>