אירועים והרצאות בפקולטה למדעי המחשב ע"ש הנרי ומרילין טאוב

n the past several years, the field of computer vision has chalked up significant achievements, fueled by new algorithms (such as deep neural networks), new hardware (such as consumer 3D cameras) and new available processing (such as GPU’s). When we consider the problems that tomorrow’s household robots and autonomous vehicles will have to solve, however, there is evidently still a ways to go. In this talk, I will discuss current work within Intel’s Perceptual Computing on a scene understanding pipeline, based on 3D camera data. The aim of this work is to enable a far deeper understanding of an environment than existing techniques currently provide

Short bio:
Dr. Gershom Kutliroff. Over the last 20 years, Gershom has held multiple positions in the computer vision and graphics industries, leading R&D efforts in the areas of human-computer interaction and visual understanding, and is an inventor on over 20 patents and patents pending. He was the CTO and co-founder of Omek Interactive, which developed hand tracking and gesture control technology, and was acquired by Intel in 2013. Dr. Kutliroff continues to pursue his interest in computer vision as a Principal Engineer within Intel’s Perceptual Computing group. He earned his Ph. D. and M. Sc. in Applied Mathematics from Brown University, and his B. Sc. in Applied Mathematics from Columbia University. Dr. Kutliroff is married with five children, but he still holds out hope to one day hike the Appalachian Trail