Beyond CNNs for Video: the Chicken vs. the Datacenter

Tuesday, May 21, 10:45 AM - 11:50 AM
Summit Track: 
Technical Insights II
Mission City M1-M3

The recent revolution in computer vision derives much of its success from neural networks for image processing. These networks run predominantly in datacenters, where the training data consists mostly of photographs. Because of this history, the networks used for image processing fail to exploit temporal information. In fact, convolutional neural networks are unaware that time exists, leading to overly complex networks with strange artifacts. Remarkably, even the lowly chicken knows better, bobbing its head while walking to integrate information over time in modeling the world. Isn’t it time we learned from the chicken? We explore how.


Steve Teig

Chief Technology Officer, Xperi

Steve Teig is an award-winning technologist, inventor on 314 US patents and entrepreneur who has been CTO of three EDA software companies, two biotech companies and a semiconductor company. Of these, two went public during his tenure, two were acquired and one is a Fortune 500 company. Currently, Steve is the CTO of Xperi Corporation; previously, he was CTO at Tabula, Inc., Cadence Design Systems, Inc., Simplex Solutions, Inc., CombiChem and BioCAD Corp. In 2011, Steve received a World Technology Award and an Edison Award. He holds a BSE in EECS from Princeton University.

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