<div dir="ltr"><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><b><span style="font-size:13pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Distinguished Lecture Series:  Jitendra Malik, University of California, Berkeley</span></b></p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><b><span style="font-size:9.5pt;color:rgb(48,48,48)"><img style="margin-right: 0px;"></span></b></p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="color:rgb(48,48,48)">Wednesday, October 11, 2017 at 11:00 am</span></b></p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="color:rgb(48,48,48)">TTIC</span></b></p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="color:rgb(48,48,48)">6045 S. Kenwood Avenue</span></b></p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="color:rgb(48,48,48)">Room #526​</span></b></p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:11pt;line-height:15.6933px;font-family:Calibri,sans-serif">For more details please visit our website at </span><span style="font-size:11pt;line-height:15.6933px;font-family:Calibri,sans-serif"><a href="http://www.ttic.edu/dls" target="_blank">www.ttic.edu/dls</a></span></p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="color:rgb(48,48,48)"> </span></b></p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:14.6pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="color:rgb(48,48,48)">Jitendra Malik</span></b></p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:14.6pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="color:black">Arthur J. Chick Professor of Electrical Engineering and Computer Sciences</span></p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:14.6pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="color:black">University of California, Berkeley</span></p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:14.6pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><a href="https://people.eecs.berkeley.edu/~malik/">https://people.eecs.berkeley.edu/~malik/</a></p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:14.6pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"> </p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:14.6pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><u>Title</u></b>: Deep Visual Understanding from Deep Learning</p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"> </p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><u>Abstract</u></b>: Deep learning and neural networks coupled with high-performance computing and big data have led to remarkable advances in computer vision. For example, we now have a good capability to detect and localize people or objects. But we are still quite short of “visual understanding”. I’ll sketch some of our recent progress towards this grand goal. One is to explore the role of feedback or recurrence in visual processing. Another is to unify geometric and semantic reasoning for understanding the 3D structure of a scene. Most importantly, vision in a biological setting, and for many robotics applications, is not an end in itself but to guide manipulation and locomotion. I will show results on learning to perform manipulation tasks by experimentation, as well as on a cognitive mapping and planning architecture for mobile robotics.</p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"> </p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"></p><p class="MsoNormal"><b><u>Bio</u></b><b>: </b>Jitendra Malik is Arthur J. Chick Professor and Department Chair of Electrical Engineering and Computer Science at UC Berkeley. Over the past 30 years, Prof. Malik’s research group has worked on many different topics in computer vision. Several well-known concepts and algorithms arose in this research, such as anisotropic diffusion, normalized cuts, high dynamic range imaging, shape contexts and R-CNN. Prof. Malik received the Distinguished Researcher in Computer Vision Award from IEEE PAMI-TC, the K.S. Fu Prize from the International Association of Pattern Recognition, and the Allen Newell award from ACM and AAAI. He has been elected to the National Academy of Sciences, the National Academy of Engineering and the American Academy of Arts and Sciences. He earned a B.Tech in Electrical Engineering from Indian Institute of Technology, Kanpur in 1980 and a PhD in Computer Science from Stanford University in 1985.</p>
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