2019 Speakers

The 2019 Embedded Vision Summit is shaping up to be our largest ever, with more than 90 speakers covering a range of topics on computer vision and visual AI, organized as four tracks: Fundamentals, Technical Insights, Business Insights and Enabling Technologies. The program is still in its early days so check back soon as new speakers are being added daily. Here are a few of our initial confirmed speakers and topics:

Speakers:
 

Paul Brasnett

Senior Research Manager, Imagination

Understanding and Optimizing State-of-the-Art DNN-based Object Detectors

Frank Brill

Design Engineering Director, Cadence

Portable Performance via the OpenVX Computer Vision Library: Case Studies

Rudy Burger

Managing Partner, Woodside Capital

What’s Changing in Autonomous Vehicle Investments Worldwide – and Why?

Carlo Dal Mutto

CTO, Aquifi

Training Data for Your CNN: What You Need and How to Get It

Tom Hackenberg

Principal Analyst, IHS Markit

Embedded Vision Processor Evolution

Mehrsan Javan

Chief Technology Officer, SPORTLOGiQ

Computer Vision in Sports: Teaching a Machine to See, Understand, Describe and Predict the Game in Real-time

David Julian

Founder and CTO, NetraDyne

Vision-Based Driver Safety Monitoring at the Edge

Ioannis Kakadiaris

Professor, University of Houston

Invited Presentation: Evaluating and Selecting Face Recognition Modules

Vinod Kulathumani

Lead Computer Vision Scientist, TVision Insights

Measuring Television Viewer Attention Using Computer Vision Techniques

Anton Lokhmotov

Founder, Dividiti

Introducing MLPerf for Community-Driven Benchmarking of Embedded Vision Systems

Yung-Hsiang Lu

Professor, Purdue University

Practical Lessons from the Low-Power Image Recognition Challenge

Phil Magney

Founder, VSI Labs

Localizing Autonomous Vehicles With Precision Maps

Peter Milford

President, Parallel Rules

Eye Tracking for the Future: The Eyes Have It

Chris Osterwood

Chief Executive Officer, Capable Robot

Selecting the Right Imager and Lens for Your Embedded Vision Application

Vijay Janapa Reddi

Professor, Harvard University

Introducing MLPerf for Community-driven Benchmarking of Embedded Vision Systems

Ian Riches

Executive Director - Global Automotive Practice, Strategy Analytics

How ADAS and Autonomy are Transforming the Automotive Supply Chain

Ravi Sahu

Founder & CEO, Strayos

Mining Site Data Extraction Using 3D Machine Learning

Nishita Sant

Manager, Computer Vision, GumGum

Creating Efficient, Flexible and Scalable Cloud Computer Vision Applications: An Introduction

Raj Talluri

Senior Vice President and General Manager, Mobile Business Unit, Micron

Processor Architecture Options for Machine Learning

Steve Teig

Chief Technology Officer, Xperi

Beyond CNN's For Video: The Chicken vs. The Datacenter

Neil Trevett

President, Khronos

APIs for Accelerating Vision and Inferencing: An Industry Overview of Options and Trade-offs

Sugosh Venkataraman

VP, Global Electronics and Electrical Systems, Whirlpool

Using Vision to Enable Next-Generation User Experiences in the Home

Pete Warden

Mobile TensorFlow Tech Lead, Google

Defining the Landscape of Low-Power ML Solutions and Applications
See you at the Summit! May 20-23 in Santa Clara, California!
Register today and reserve your hotel room!