trainings MondayMay 20

summit TuesdayMay 21

summit WednesdayMay 22

The Future of Computer Vision and Machine Learning is Tiny

Pete Warden Staff Research Engineer, Google

9:00 – 10:30 am

Making the Invisible Visible: Within Our Bodies, the World Around Us and Beyond

Ramesh Raskar Associate Professor, MIT Media Lab

9:00 – 10:30 amWelcome and Keynote

Mission City Ballroom B1–5 Welcome and Keynote

Mission City Ballroom B1–5

7:30 – 9:00 amCoffee and PastriesMission City Lobby

7:30 – 9:00 amCoffee and PastriesMission City Lobby

7:30 am – 7:00 pm 7:30 am – 6:00 pm7:30 – 9:00 am

7:30 am – 5:00 pm

RegistrationMain Lobby

RegistrationMain Lobby

Training RegistrationMain Lobby

Summit RegistrationMain Lobby

12:00 – 1:00 pm Lunch In the Vision Technology Showcase

12:00 – 1:00 pm Lunch In the Vision Technology Showcase

3:15 – 4:15 pm Afternoon BreakBe sure to visit the Vision Technology Showcase!

3:15 – 4:15 pm Afternoon BreakBe sure to visit the Vision Technology Showcase!

Vision TechnologyShowcaseExhibit Hall A

Vision TechnologyShowcaseExhibit Hall A

12:00 – 8:00 pm

10:30 am – 6:00 pm

Coffee and Pastries Upstairs Lobby

7:30 – 9:00 am

5:00 - 6:00 pmVision Tank Start-up Competition Theater (Upstairs)

Business Insights

10:45 – 11:50 am Morning Sessions

Technical Insights I Technical Insights II

Fundamentals Business Insights

10:45 – 11:50 am Morning Sessions

Technical Insights I Technical Insights II

Fundamentals

Business Insights

Enabling Technologies I

Enabling Technologies I

Enabling Technologies II

Enabling Technologies II

1:00 – 3:15 pm

Technical Insights I Technical Insights II

Afternoon Sessions

FundamentalsBusiness Insights

Enabling Technologies I

Enabling Technologies II

1:00 – 3:15 pm

Technical Insights I Technical Insights II

Afternoon Sessions

Fundamentals

Business Insights

Enabling Technologies I

Enabling Technologies II

4:20 – 6:00 pm

Technical Insights I Technical Insights II

Afternoon Sessions

Evening Events

FundamentalsBusiness Insights

Enabling Technologies I

Enabling Technologies II

4:20 – 6:00 pm

Technical Insights I Technical Insights II

Afternoon Sessions

Fundamentals

Trainings require separate registration

Deep Learning for Computer Vision with TensorFlow 2.0Room 203/204 (Upstairs)

Computer Vision Applications in OpenCVRoom 209 (Upstairs)

9:00 am – 5:00 pm 9:00 am – 5:00 pm

Are you an engineer who wants to design intelligent computer vision systems that learn from complex or large-scale datasets? Would you like to build your visual AI development skills?

Get the hands-on knowledge you need to develop deep learning computer vision applications—both on embedded systems and in the cloud—with TensorFlow, today’s most popular framework for deep learning. This class will cover the latest developments in TensorFlow 2.0, including eager execution, and emphasizes the use of Keras for model creation.

Cost: $895

In this course, we will start with the basics of OpenCV, the world’s most popular open source computer vision library. We will learn many algorithms implemented in OpenCV and how they are used to build real world applications like image classification, object detection, face recognition and many more.

This is a workshop for engineers and programmers. We will learn enough theory to understand the ideas behind the algorithms without drowning ourselves in complex mathematical equations. The workshop is designed for beginners in mind. The only pre-requisite is an intermediate level of knowledge in Python3.

Cost: $895

Organized by

Workshops require separate registration.

Registration, coffee and pastries available outside workshop rooms (see locations below).

workshops ThursdayMay 23

Coffee and Pastries8:00 – 9:00 am8:00 – 10:00 am

Registration

6:00 – 8:00 pmVision Technology Showcase Reception Exhibit Hall A

Join us for food, drink and demos

9:00 am – 5:30 pm Hardware Acceleration for Machine Learning and Computer Vision Through Khronos Open Standard APIsRoom 203/204 (Upstairs)This workshop introduces attendees to key Khronos open standards, including OpenVX, NNEF, OpenCL and SYCL, and shows how they can be applied to their projects and products.

Cost: $25 Organized by

9:00 am – 5:30 pm Embedded Vision Seminar: Navigating Intelligent Vision at the Edge Room 209/210 (Upstairs)Join us to learn about the latest trends in artificial intelligence and computer vision, and how to use the latest embedded vision technologies to navigate your way from concept to successful silicon. This seminar provides a deep dive into deep learning, embedded vision and standards-based programming for automotive, mobile, surveillance and consumer applications.

Cost: $25 Organized by

9:00 am – 5:30 pm Intel Vision Technology and OpenVINO Toolkit Great America Meeting Room 1This one-day, hands-on workshop will take you through a computer vision workflow using the latest Intel technologies and the OpenVINO toolkit, including support for deep learning algorithms that help accelerate smart video applications.

Cost: $25

Organized by

9:00 am – 5:30 pm Advanced Workshop on Intel Vision Technology and OpenVINOGreat America Meeting Room 3 Designed for computer vision developers with an advanced understanding of machine learning and deep learning techniques, this day-long hands-on workshop will take you through deploying your application on different hardware accelerators, as well as inferring deep learning models from various frameworks using the OpenVINO toolkit and how to add custom layers for your model to infer it using the OpenVINO toolkit.

Cost: $25

Organized by

6:15 – 6:45 pmVision Product of the Year Awards Theater (Upstairs)

6:00 – 6:30 pmWomen in Vision Reception Exhibit Hall A – ET1

6:00 – 6:30 pmEdge AI CollaborativeExhibit Hall A – ET2

Sponsored by

agenda overviewPreliminary ScheduleSee embedded-vision.com/summit for updates

Preliminary ScheduleSee embedded-vision.com/summit for updates

R17 5/15/19

Enabling Technologies I Exhibit Hall A – ET1

Enabling Technologies II Exhibit Hall A – ET2

Technical Insights II Mission City Ballroom M1 – M3

Technical Insights IMission City Ballroom B1 – B5

Business InsightsTheater (Upstairs)

Fundamentals Room 203/204 (Upstairs)

12:00 – 1:00 pm Lunch in the Vision Technology Showcase 12:00 – 1:00 pm Lunch in the Vision Technology Showcase

3:15 – 4:15 pm Break Be sure to visit the Vision Technology Showcase!3:15 – 4:15 pm Break Be sure to visit the Vision Technology Showcase!

10:45 - 11:15 am T1T1Performance Analysis for Optimizing Embedded Deep Learning Inference SoftwareGian Marco Iodice, Staff Compute Performance Software Engineer, Arm

11:20 - 11:50 am T1T2Fast and Accurate RMNet: A New Neural Network for Embedded VisionIlya Krylov, Software Engineering Manager, Intel

1:00 - 1:30 pm T1T3Methods for Creating Efficient Convolutional Neural NetworksMohammad Rastegari, CTO, Xnor.ai

1:35 - 2:05 pm T1T4Optimizing SSD Object Detection for Low-power DevicesMoses Guttmann, CTO and Founder, allegro.ai

2:10 - 2:40 pm T1T5Hardware-aware Deep Neural Network Design

Peter Vajda, Research Manager, Facebook

2:45 - 3:15 pm T1T6Object Trackers: Approaches and ApplicationsMinje Park, Deep Learning R&D Engineer, Intel

4:20 - 4:50 pm T1T7Enabling Automated Design of Computationally Efficient Deep Neural Networks

Bichen Wu, Graduate Student Researcher, EECS, University of California, Berkeley

4:55 - 5:25 pm T1T8Low-power Computer Vision: Status, Challenges and OpportunitiesYung-Hsiang Lu, Professor, Purdue University

1:00 - 1:30 pm E1T3Building AI Cameras with Intel Movidius VPUsGary Brown, Director of AI Marketing, Intel

1:35 - 2:05 pm E1T4Introducing Hailo-8: The Most Efficient Deep Learning Processor for Edge DevicesLearning: Options and Trade-offs Orr Danon, CEO, Hailo

2:10 - 2:40 pm E1T5A Self-service Platform to Deploy State-of-the-art Deep Learning Models in Under 30 MinutesPeter Zatloukal, Vice President of Engineering, Xnor.ai

2:45 - 3:15 pm E1T6Highly Efficient, Scalable Vision and AI Processors IP for the EdgePulin Desai, Vision Product Marketing, Cadence

4:20 - 4:50 pm E1T7An Ultra-low-power Multi-core Engine for Inference on Encrypted DNNsPetronel Bigioi, CTO, Imaging, Xperi

4:55 - 5:25 pm E1T8The Xilinx AI Engine: High Performance with Future-proof Architecture Adaptability Vinod Kathail, Xilinx Fellow and Chief Architect, Xilinx

1:00 - 1:30 pm E2T3Commercial Grade SLAM Frameworks for Indoor and Outdoor Applications John Williams, CTO and Co-founder, Kudan

1:35 - 2:05 pm E2T4Accelerating Smart Camera Time to Market Using a System-on-module ApproachIan Billing, Quality Assurance Manager, Teknique

2:10 - 2:40 pm E2T5AI+: Combining AI and Other Critical Functions Using Intel FPGAsRonak Shah, Director, AI Marketing Strategy, Intel PSG, Intel

2:45 - 3:15 pm E2T6Neuromorphic Event-based Vision: From Disruption to Adoption at Scale Luca Verre, Co-founder and CEO, Prophesee

4:20 - 4:50 pm E2T7Accessing Advanced Image Processing Feature Sets with Alvium Cameras Using a V4L2/GenICam Hybrid Driver Sebastian Günther, Host Systems Competence Center Lead, Allied Vision Technologies

4:55 - 5:25 pm E2T8Pioneering Analog Compute for Edge AI to Overcome the End of Digital Scaling Mike Henry, CEO/Founder, Mythic

10:45 - 11:50 am T2T1Beyond CNNs for Video: The Chicken vs. the DatacenterSteve Teig, CTO, Xperi

1:00 - 1:30 pm T2T3Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time

Mehrsan Javan, Chief Technology Officer, Sportlogiq

1:35 - 2:05 pm T2T4Using Deep Learning for Video Event Detection on a Compute BudgetPraveen Nayak, Tech Lead, PathPartner Technology

2:10 - 2:40 pm T2T5AI-powered Identity: Evaluating Face Recognition Capabilities

Ioannis Kakadiaris, Distinguished University Professor of Computer Science, University of Houston

2:45 - 3:15 pm T2T6Designing Home Monitoring Cameras for ScaleIlya Brailovskiy, Principal Engineer and Changsoo Jeong, Head of Algorithm, Ring

4:20 - 4:50 pm T2T7Selecting and Exploiting Sensors for Sensor Fusion in Consumer Robots

Daniel Casner, Systems Engineer, Anki (Former)

4:55 - 5:25 pm T2T8Sensory Fusion for Scalable Indoor NavigationOleg Sinyavskiy, Director of Research and Development, Brain Corp

10:45 - 11:50 am FT1An Introduction to Machine Learning and How to Teach Machines to See

Facundo Parodi, Research and Machine Learning Engineer, Tryolabs

1:00 - 1:30 pm FT3Training Data for Your CNN: What You Need and How to Get It

Carlo Dal Mutto, CTO, Aquifi

1:35 - 2:05 pm FT4Object Detection for Embedded MarketsPaul Brasnett, Business Development Director Vision & AI, PowerVR, Imagination

2:10 - 3:15 pm FT5How to Choose a 3D Vision Sensor

Chris Osterwood, Founder and CEO, Capable Robot Components

4:20 - 5:25 pm FT7Fundamentals of Monocular SLAMShrinivas Gadkari, Design Engineering Director, Cadence

5:30 - 6:00 pm FT9Eye Tracking for the Future: The Eyes Have ItPeter Milford, President, Parallel Rules

10:45 - 11:15 am BT1What’s Changing in Autonomous Vehicle Investments Worldwide—and Why?

Rudy Burger, Managing Partner, Woodside Capital

11:20 - 11:50 am BT2EXECUTIVE PERSPECTIVE

Making Cars That See: Failure is Not an OptionBurkhard Huhnke, Vice President of Automotive Strategy, Synopsys

1:00 - 1:30 pm BT3EXECUTIVE PERSPECTIVE

Shifts in the Automated Driving IndustryLászló Kishonti, CEO, AImotive

1:35 - 2:05 pm BT4Automotive Vision Systems—Seeing the Way Forward

Ian Riches, Executive Director, Global Automotive Practice, Strategy Analytics

2:10 - 2:40 pm BT5Addressing Corner Cases in Embedded Computer Vision ApplicationsDavid Julian, CTO and Founder, Netradyne

2:45 - 3:15 pm BT6EXECUTIVE PERSPECTIVE

Enabling the Next Kitchen Experience Through Embedded VisionSugosh Venkataraman, VP Technology, Whirlpool

4:20 - 4:50 pm BT7Accurately Measuring Viewer Attention for Maximum Marketing Impact Using Computer VisionVinod Kulathumani, Lead Computer Vision Scientist, TVision Insights

4:55 - 5:25 pm BT8Three Key Factors for Successful AI ProjectsBruce Tannenbaum, Manager, Technical Marketing, AI Applications, MathWorks

sessions overview Tuesday= Invited presentation Session codes (e.g., T2W3) allow for quick searching in our event app!

Preliminary ScheduleSee embedded-vision.com/summit for updates

Don’t miss the Vision Technology Showcase Reception 6:00 pm – 8:00 pm for food, drink and demos!Don’t miss the Vision Technology Showcase Reception 6:00 pm – 8:00 pm for food, drink and demos!

R17 5/15/19

Enabling Technologies I Exhibit Hall A – ET1

Enabling Technologies II Exhibit Hall A – ET2

Technical Insights II Mission City Ballroom M1 – M3

Technical Insights IMission City Ballroom B1 – B5

Business InsightsTheater (Upstairs)

Fundamentals Room 203/204 (Upstairs)

10:45 - 11:15 am E1W1MediaTek’s Approach for Edge IntelligenceBing Yu, Senior Technical Manager/Architect, MediaTek

11:20 - 11:50 am E1W2Deploying Visual SLAM in Low-power Devices Ben Weiss, Customer Solutions Engineer, CSG Group, CEVA

1:00 - 1:30 pm E1W3Memory-centric Hardware Acceleration for Machine IntelligenceSylvain Dubois, Vice President Business Development and Marketing, Crossbar

1:35 - 2:05 pm E1W4Dynamically Reconfigurable Processor Technology for Vision ProcessingYoshio Sato, Sr. Product Marketing Manager, Industrial Business Unit, Renesas

2:10 - 2:40 pm E1W5High-performance DNNs at the Edge: Co-optimization of Model Architectures, Compiler and AcceleratorYuan Li, Director, Applied AI Lab, Horizon Robotics

2:45 - 3:15 pm E1W6Using TensorFlow Lite to Deploy Deep Learning on Cortex-M MicrocontrollersPete Warden, Staff Research Engineer, Google

4:20 - 4:50 pm E1W7Applied Depth Sensing with Intel RealSenseSergey Dorodnicov, Software Architect, Intel

4:55 - 5:25 pm E1W8Game Changing Depth Sensing Technique Enables Simpler, More Flexible 3D SolutionsTakeo Miyazawa, Founder and CEO, Magik Eye

5:30 - 6:00 pm E1W9REAL3 Time of Flight: A New Differentiator for Mobile Phones Walter Bell, 3D Imaging Application Engineer, Infineon

10:45 - 11:15 am E2W1How to Get the Best Deep Learning Performance with the OpenVINO ToolkitYury Gorbachev, Principal Engineer, Intel

11:20 - 11:50 am E2W2Machine Learning at the Edge in Smart Factories Using TI Sitara ProcessorsManisha Agrawal, Software Applications Engineer, Texas Instruments

1:00 - 1:30 pm E2W3Accelerate Adoption of AI at the Edge with Easy to Use, Low-power Programmable SolutionsHussein Osman, Consumer Segment Manager, Lattice Semiconductor

1:35 - 2:05 pm E2W4Deploying Deep Learning Models on Embedded Processors for Autonomous Systems with MATLABSandeep Hiremath, Product Manager and Bill Chou, Sr. Computer Vision Scientist, MathWorks

2:10 - 2:40 pm E2W5Tools and Techniques for Optimizing DNNs on Arm-based Processors with Au-Zone’s DeepView ML ToolkitSébastien Taylor, Vision Technology Architect, Au-Zone

2:45 - 3:15 pm E2W6Using High-level Synthesis to Bridge the Gap Between Deep Learning Frameworks and Custom Hardware Accelerators Michael Fingeroff, HLS Technologist, Mentor

4:20 - 4:50 pm E2W7Using Blockchain to Create Trusted Embedded Vision SystemsThies Möller, Technical Architect, Basler

4:55 - 5:25 pm E2W8Snapdragon Hybrid Computer Vision/Deep Learning Architecture for Imaging ApplicationsRobert Lay, Product Management, Computer Vision and Camera, Qualcomm

5:30 - 6:00 pm E2W9Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoCsFelix Baum, Director of Product Management, AI Software, Qualcomm

10:45 - 11:15 am T2W1APIs for Accelerating Vision and Inferencing: An Industry Overview of Options and Trade-offsNeil Trevett, President, Khronos Group

11:20 - 11:50 am T2W2Introducing MLPerf for Community-driven Benchmarking of Embedded Vision SystemsAnton Lokhmotov, CEO, dividiti and Vijay Janapa Reddi, Associate Professor, Harvard University

1:00 - 1:30 pm T2W3OpenCV: Current Status and Future Plans

Satya Mallick, Interim CEO, OpenCV.org

1:35 - 2:05 pm T2W4Portable Performance via the OpenVX Computer Vision Library: Case StudiesFrank Brill, Design Engineering Director, Cadence

2:10 - 2:40 pm T2W5Data Annotation at Scale: Pitfalls and SolutionsNikita Manovich, Senior Software Engineer, Intel

2:45 - 3:15 pm T2W6Can Simulation Solve the Training Data Problem?Peter McGuinness, VP AI and Services, Mindtech Global

4:20 - 4:50 pm T2W7Practical Approaches to Training Data Strategy: Bias, Legal and Ethical ConsiderationsAudrey Jill Boguchwal, Senior Product Manager, Samasource

4:55 - 5:25 pm T2W8Machine Learning-based Image Compression: Ready for Prime Time?Michael Gormish, Research Manager, Clarifai

10:45 - 11:15 am T1W1DNN Challenges and Approaches for L4/L5 Autonomous VehiclesTom Wilson, VP Automotive, Graphcore

11:20 - 11:50 am T1W2Can We Have Both Safety and Performance in AI for Autonomous Vehicles?Andrew Richards, CEO and Co-founder, Codeplay

1:00 - 1:30 pm T1W3Challenges and Approaches for Extracting Meaning from Satellite Imagery

Adam Kraft, Deep Learning Engineer, Orbital Insight

1:35 - 2:05 pm T1W4Mining Site Data Extraction Using 3D Machine Learning

Ravi Sahu, Founder and CEO, Strayos

2:10 - 2:40 pm T1W5Improving the Safety and Performance of Automated Vehicles Through Precision Localization

Phil Magney, Founder, VSI Labs

2:45 - 3:15 pm T1W6Distance Estimation Solutions for ADAS and Automated DrivingGergely Debreczeni, Chief Scientist, AImotive

4:20 - 4:50 pm T1W7AI Reliability Against Adversarial InputsGokcen Cilingir, AI Software Architect and Li Chen, Data Scientist and Research Scientist, Intel

10:45 - 11:15 am BW1EXECUTIVE PERSPECTIVE

Designing Your Next Vision Product Using a Systems ApproachBen Bodley, CEO, Teknique

11:20 - 11:50 am BW2The Reality of Spatial Computing: What’s Working in 2019 (And Where It Goes From Here)

Tim Merel, Managing Director, Digi-Capital

1:00 - 1:30 pm BW3EXECUTIVE PERSPECTIVE

Visual AI Enables Autonomous Security: An Interview with William Santana LiWilliam Santana Li, Co-founder, Chairman and CEO, Knightscope

1:35 - 2:05 pm BW4Visual AI Applications and Technologies: Trends and OpportunitiesJeff Bier, Founder, Embedded Vision Alliance and President, BDTI

2:10 - 2:40 pm BW5AI Is Moving to the Edge—What’s the Impact on the Semiconductor Industry?Yohann Tschudi, Technology and Market Analyst, Yole Développement

2:45 - 3:15 pm BW6Embedded Vision Applications Lead Way for Processors in AI: A Market Analysis of Vision Processors Tom Hackenberg, Principal Analyst, IHS Markit

4:20 - 4:50 pm BW7EXECUTIVE PERSPECTIVE

Processor Options for Edge Inference: Options and Trade-offsRaj Talluri, Senior VP and General Manager, Mobile Business Unit, Micron

5:00 - 6:00 pm BW8Vision Tank Start-up CompetitionBlinkAI Presented by Bo ZhuEntropix Presented by Dwight LindenRobotic Materials Presented by Austin MillerStrayos Presented by Ravi SahuVyrill Presented by Barbara Rosario

Vision Tank Judges:John Feland, Lina Karam, Simon Morris, Vin Ratford

12:00 – 1:00 pm Lunch in the Vision Technology Showcase12:00 – 1:00 pm Lunch in the Vision Technology Showcase

3:15 – 4:15 pm Break Be sure to visit the Vision Technology Showcase!3:15 – 4:15 pm Break Be sure to visit the Vision Technology Showcase!

10:45 - 11:15 am FW1Separable Convolutions for Efficient Implementation of CNNs and Other Vision AlgorithmsChen-Ping Yu, Co-founder, CEO, Phiar

11:20 - 11:50 am FW2Five+ Techniques for Efficient Implementation of Neural NetworksBert Moons, Hardware Design Architect, Synopsys

1:00 - 2:05 pm FW3Introduction to Optics for Embedded Vision

Jessica Gehlhar, Imaging Engineer

2:10 - 2:40 pm FW5Selecting the Right Imager for Your Embedded Vision ApplicationChris Osterwood, Founder and CEO, Capable Robot Components

2:45 - 3:15 pm FW6Deep Learning for Manufacturing Inspection ApplicationsStephen Se, Research Manager, FLIR Systems, Inc.

4:20 - 4:50 pm FW7Building Complete Embedded Vision Systems on Linux—From Camera to DisplayClay D. Montgomery, Freelance Embedded Multimedia Developer, Montgomery One

4:55 - 5:25 pm FW8Creating Efficient, Flexible and Scalable Cloud Computer Vision Applications: An Introduction

Nishita Sant, Manager, Computer Vision and Greg Chu, Sr. Computer Vision Scientist, GumGum

5:30 - 6:00 pm FW9Fundamental Security Challenges of Embedded VisionMike Borza, Principal Security Technologist, Synopsys

sessions overview WednesdaySession codes (e.g., T2W3) allow for quick searching in our event app!

= Invited presentation Preliminary ScheduleSee embedded-vision.com/summit for updates

R17 5/15/19