Presenter Details



Oliver Knieps
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Oliver Knieps
Institution
NVIDIA
Position
Deep Learning Software Engineer
Bio

Oliver Knieps is a Deep Learning Software Engineer at NVIDIA, where he bridges the gap between research and industry as a member of the TSE Automotive Machine Learning team. The topics he works on include theoretical performance projection of perception algorithms to embedded platforms and practical optimization of resource usage during DNN inference. Oliver joined NVIDIA in 2016 after graduating with a dual master’s degree in Embedded Systems from Eindhoven University of Technology (TU/e), The Netherlands and KTH Royal Institute of Technology, Sweden. With his graduate thesis on terrain classification in unstructured environments at Scania, he set the foundations of applied machine learning using raw data from remote sensors at the Swedish bus and truck manufacturer. Oliver also holds a bachelor’s degree from Karlsruhe Institute of Technology (KIT), Germany and has studied abroad in Mexico, Belgium and South Korea.

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topic-arrow Presenter for:
Hall C2
Thursday - October 18, 2018
01:00 PM
03:00 PM

Introduction to Object Detection with TensorFlow

This workshop is a lightning introduction to object detection and image segmentation for data scientists, engineers, and technical professionals. This task of computer-based image understanding permeates many major fields such as advertising, smart cities, healthcare, national defense, robotics, and autonomous driving. .....


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DLI Instructor-Led Training

Halls C4&C5
Thursday - October 18, 2018
03:30 PM
05:30 PM

Training Semantic Segmentation for DRIVE PX

The level of accuracy needed for urban driving is different than highway driving due to the density of different objects in a given scene. Using CamVid dataset, this mini course will go through all the steps required to do semantic segmentation given the computation capabilities of DRIVE PX. You’ll learn how to:....


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DLI Instructor-Led Training