[Colloquium] 10/11 Distinguished Lecture Series: Jitendra Malik, University of California, Berkeley

[Latrice Richards via Colloquium]

*Distinguished Lecture Series:  Jitendra Malik, University of California,
Berkeley*

*Wednesday, October 11, 2017 at 11:00 am*

*TTIC*

*6045 S. Kenwood Avenue*

*Room #526​*

For more details please visit our website at www.ttic.edu/dls



*Jitendra Malik*

Arthur J. Chick Professor of Electrical Engineering and Computer Sciences

University of California, Berkeley

https://people.eecs.berkeley.edu/~malik/



*Title*: Deep Visual Understanding from Deep Learning



*Abstract*: 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.



*Bio**: *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.
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