2019 Sessions

We’re putting together our 2020 schedule of speakers right now.
In the meantime, here are talks from the 2019 Summit.

(Interested in speaking in 2020? Click here to propose a presentation!)

Day 1: Monday, May 20, 2019

9:00am - 5:00pm
Training: Computer Vision Applications in OpenCV (Separate Registration Required)
By Satya Mallick Interim CEO, OpenCV.org

Where:
Hall A
9:00am - 5:00pm
Training: Deep Learning for Computer Vision with TensorFlow 2.0 (Separate Registration Required)

Where:
Hall B

Day 2: Tuesday, May 21, 2019

9:00am - 10:30am
Making the Invisible Visible: Within Our Bodies, the World Around Us, and Beyond
By Ramesh Raskar Associate Professor, MIT Media Lab

Keynote
Where:
Mission City B1-B5
10:45am - 11:15am
What’s Changing in Autonomous Vehicle Investments Worldwide – and Why?
By Rudy Burger Managing Partner, Woodside Capital

Business Insights
10:45 AM
Where:
Theater
10:45am - 11:15am
An Introduction to Machine Learning and How to Teach Machines to See
By Facundo Parodi Research and Machine Learning Engineer, Tryolabs

10:45 AM
Fundamentals
Where:
Room 203/204
10:45am - 11:15am
Beyond CNNs for Video: the Chicken vs. the Datacenter
By Steve Teig Chief Technology Officer, Xperi

Technical Insights II
10:45 AM
Where:
Mission City M1-M3
10:45am - 11:15am
Performance Analysis for Optimizing Embedded Deep Learning Inference Software
By Gian Marco Iodice Staff Compute Performance Software Engineer, ARM

Technical Insights I
10:45 AM
Where:
Mission City B1-B5
11:20am - 11:50am
Fast and Accurate RMNet: A New Neural Network for Embedded Vision
By Ilya Krylov Software Engineering Manager, Intel

Technical Insights I
11:20 AM
Where:
Mission City B1-B5
11:20am - 11:50am
Making Cars That See - Failure is Not an Option
By Burkhard Huhnke Vice President of Automotive Strategy, Synopsys

Business Insights
11:20 AM
Where:
Theater
1:00pm - 1:30pm
Building AI Cameras with Intel Movidius VPUs
By Gary Brown Director of AI Marketing, Intel

Enabling Technologies I
1:00 PM
Where:
Exhibit Hall ET 1
1:00pm - 1:30pm
Commercial Grade SLAM Frameworks for Indoor and Outdoor Applications
By John Williams CTO and Co-Founder, Kudan

1:00 PM
Enabling Technologies II
Where:
Exhibit Hall ET 2
1:00pm - 1:30pm
Methods for Creating Efficient Convolutional Neural Networks
By Mohammad Rastegari CTO, Xnor.ai

Technical Insights I
1:00 PM
Where:
Mission City B1-B5
1:00pm - 1:30pm
Shifts in the Automated Driving Industry
By László Kishonti CEO, AImotive

Business Insights
1:00 PM
Where:
Theater
1:00pm - 1:30pm
Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time
By Mehrsan Javan Chief Technology Officer, Sportlogiq

Technical Insights II
1:00 PM
Where:
Mission City M1-M3
1:00pm - 1:30pm
Training Data for Your CNN: What You Need and How to Get It
By Carlo Dal Mutto CTO, Aquifi

1:00 PM
Fundamentals
Where:
Room 203/204
1:35pm - 2:05pm
Automotive Vision Systems – Seeing the Way Forward
By Ian Riches Executive Director - Global Automotive Practice, Strategy Analytics, Manisha Agrawal Software Applications Engineer, Texas Instruments

Business Insights
1:35 PM
Where:
Theater
1:35pm - 2:05pm
Accelerating Smart Camera Time to Market Using a System-on-Module Approach
By Ian Billing Quality Assurance Manager, Teknique

Enabling Technologies II
1:35 PM
Where:
Exhibit Hall ET 2
1:35pm - 2:05pm
Introducing Hailo-8: The Most Efficient Deep Learning Processor for Edge Devices
By Orr Danon CEO, Hailo

Enabling Technologies I
1:35 PM
Where:
Exhibit Hall ET 1
1:35pm - 2:05pm
Object Detection for Embedded Markets
By Paul Brasnett Business Development Director Vision and AI, PowerVR, Imagination Technologies

Fundamentals
1:35 PM
Where:
Room 203/204
1:35pm - 2:05pm
Optimizing SSD Object Detection for Low-power Devices
By Moses Guttmann CTO and Founder, allegro.ai

Technical Insights I
1:35 PM
Where:
Mission City B1-B5
1:35pm - 2:05pm
Using Deep Learning for Video Event Detection on a Compute Budget
By Praveen Nayak Tech Lead, Pathpartner

Technical Insights II
1:35 PM
Where:
Mission City M1-M3
2:10pm - 2:40pm
Hardware-aware Deep Neural Network Design
By Peter Vajda Research Manager, Facebook

Technical Insights I
2:10 PM
Where:
Mission City B1-B5
2:10pm - 2:40pm
A Self-service Platform to Deploy State-of-the-art Deep Learning Models in Under 30 Minutes
By Bo Zhu CTO, BlinkAI, Peter Zatloukal Vice President of Engineering, Xnor.ai

Enabling Technologies I
2:10 PM
Where:
Exhibit Hall ET 1
2:10pm - 2:40pm
Addressing Corner Cases in Embedded Computer Vision Applications
By David Julian CTO and Founder, Netradyne

Business Insights
2:10 PM
Where:
Theater
2:10pm - 2:40pm
AI+: Combining AI and Other Critical Functions Using Intel FPGAs
By Ronak Shah Director, AI Marketing Strategy, Intel PSG

Enabling Technologies II
2:10 PM
Where:
Exhibit Hall ET 2
2:10pm - 2:40pm
AI-Powered Identity: Evaluating Face Recognition Capabilities
By Ioannis Kakadiaris Distinguished University Professor of Computer Science, University of Houston

Technical Insights II
2:10 PM
Where:
Mission City M1-M3
2:10pm - 3:15pm
How to Choose a 3D Vision Sensor
By Chris Osterwood Founder & CEO, Capable Robot Components

Fundamentals
2:10 PM
Where:
Room 203/204
2:45pm - 3:15pm
Designing Home Monitoring Cameras for Scale
By Changsoo Jeong Head of Algorithm, Ring, Ilya Brailovskiy Principal Engineer, Ring

Technical Insights II
2:45 PM
Where:
Mission City M1-M3
2:45pm - 3:15pm
Enabling the Next Kitchen Experience Through Embedded Vision
By Sugosh Venkataraman Vice President Technology, Whirlpool

Business Insights
2:45 PM
Where:
Theater
2:45pm - 3:15pm
Highly Efficient, Scalable Vision and AI Processors IP for the Edge
By Pulin Desai Vision Product Marketing, Cadence

Enabling Technologies I
2:45 PM
Where:
Exhibit Hall ET 1
2:45pm - 3:15pm
Neuromorphic Event-based Vision: From Disruption to Adoption at Scale
By Luca Verre Co-founder and CEO, Prophesee

Enabling Technologies II
2:45 PM
Where:
Exhibit Hall ET 2
2:45pm - 3:15pm
Object Trackers: Approaches and Applications
By Minje Park Deep Learning R&D Engineer, Intel

Technical Insights I
2:45 PM
Where:
Mission City B1-B5
4:20pm - 4:50pm
Accessing Advanced Image Processing Feature Sets with Alvium Cameras Using a V4L2/GenICam Hybrid Driver
By Sebastian Guenther Host Systems Competence Center Lead, Allied Vision Technologies

Enabling Technologies II
4:20 PM
Where:
Exhibit Hall ET 2
4:20pm - 4:50pm
Accurately Measuring Viewer Attention for Maximum Marketing Impact Using Computer Vision
By Vinod Kulathumani Lead Computer Vision Scientist, TVision Insights

Business Insights
4:20 PM
Where:
Theater
4:20pm - 4:50pm
An Ultra-low-power Multi-core Engine for Inference on Encrypted DNNs
By Petronel Bigioi CTO, Imaging, Xperi

Enabling Technologies I
4:20 PM
Where:
Exhibit Hall ET 1
4:20pm - 4:50pm
Enabling Automated Design of Computationally Efficient Deep Neural Networks
By Bichen Wu Graduate Student Researcher, EECS, University of California, Berkeley

Technical Insights I
4:20 PM
Where:
Mission City B1-B5
4:20pm - 5:25pm
Fundamentals of Monocular SLAM
By Shrinivas Gadkari Design Engineering Director, Cadence

Fundamentals
4:20 PM
Where:
Room 203/204
4:20pm - 4:50pm
Selecting and Exploiting Sensors for Sensor Fusion in Consumer Robots
By Daniel Casner Systems Engineer, Anki (former)

Technical Insights II
4:20 PM
Where:
Mission City M1-M3
4:55pm - 5:25pm
Low-power Computer Vision: Status, Challenges and Opportunities
By Yung-Hsiang Lu Professor, Purdue University

Technical Insights I
4:55 PM
Where:
Mission City B1-B5
4:55pm - 5:25pm
Pioneering Analog Compute for Edge AI to Overcome the End of Digital Scaling
By Mike Henry CEO/Founder, Mythic

Enabling Technologies II
4:55 PM
Where:
Exhibit Hall ET 2
4:55pm - 5:25pm
Sensory Fusion for Scalable Indoor Navigation
By Oleg Sinyavskiy Director of Research & Development, Brain Corp

Technical Insights II
4:55 PM
Where:
Mission City M1-M3
4:55pm - 5:25pm
The Xilinx AI Engine: High Performance with Future-proof Architecture Adaptability
By Vinod Kathail Xilinx Fellow and Chief Architect, Xilinx

Enabling Technologies I
4:55 PM
Where:
Exhibit Hall ET 1
4:55pm - 5:25pm
Three Key Factors for Successful AI Projects
By Bruce Tannenbaum Manager, Technical Marketing, AI Applications, MathWorks

Business Insights
4:55 PM
Where:
Theater
5:30pm - 6:00pm
Eye Tracking For The Future: The Eyes Have It
By Peter Milford President, Parallel Rules

Fundamentals
5:30 PM
Where:
Room 203/204

Day 3: Wednesday, May 22, 2019

9:00am - 10:30am
The Future of Computer Vision and Machine Learning is Tiny
By Pete Warden Staff Research Engineer, Google

Keynote
Where:
Mission City B1-B5
10:45am - 11:15am
APIs for Accelerating Vision and Inferencing: an Industry Overview of Options and Trade-offs
By Neil Trevett President, Khronos Group

Technical Insights II
10:45 AM
Where:
Mission City M1-M3
10:45am - 11:15am
Designing Your Next Vision Product Using a Systems Approach
By Ben Bodley CEO, Teknique

Business Insights
10:45 AM
Where:
Theater
10:45am - 11:15am
DNN Challenges and Approaches for L4/L5 Autonomous Vehicles
By Tom Wilson VP Automotive, Graphcore

Technical Insights I
10:45 AM
Where:
Mission City B1-B5
10:45am - 11:15am
How to Get the Best Deep Learning Performance with the OpenVINO Toolkit
By Yury Gorbachev Principal Engineer, Intel

10:45 AM
Enabling Technologies II
Where:
Exhibit Hall ET 2
10:45am - 11:15am
MediaTek’s Approach for Edge Intelligence
By Bing Yu Senior Technical Manager/Architect

10:45 AM
Enabling Technologies I
Where:
Exhibit Hall ET 1
10:45am - 11:15am
Separable Convolutions for Efficient Implementation of CNNs and Other Vision Algorithms
By Chen-Ping Yu Co-founder and CEO, Phiar

10:45 AM
Fundamentals
Where:
Room 203/204
11:20am - 11:50am
5+ Techniques for Efficient Implementation of Neural Networks
By Bert Moons Hardware Design Architect, Synopsys

11:20 AM
Fundamentals
Where:
Room 203/204
11:20am - 11:50am
Can We Have Both Safety and Performance in AI for Autonomous Vehicles?
By Andrew Richards CEO & Co-Founder, Codeplay

Technical Insights I
11:20 AM
Where:
Mission City B1-B5
11:20am - 11:50am
Introducing MLPerf for Community-driven Benchmarking of Embedded Vision Systems
By Anton Lokhmotov CEO, Dividiti

Technical Insights II
11:20 AM
Where:
Mission City M1-M3
11:20am - 11:50am
Machine Learning at the Edge in Smart Factories Using TI Sitara Processors
By Manisha Agrawal Software Applications Engineer, Texas Instruments

11:20 AM
Enabling Technologies II
Where:
Exhibit Hall ET 2
11:20am - 11:50am
The Reality of Spatial Computing: What's Working in 2019 (and Where It Goes From Here)
By Tim Merel Managing Director, Digi-Capital

Business Insights
11:20 AM
Where:
Theater
11:20am - 11:50am
Deploying Visual SLAM in Low-power Devices
By Ben Weiss Computer Vision Expert, Customer Solution, CEVA

Enabling Technologies I
11:20 AM
Where:
Exhibit Hall ET 1
1:00pm - 1:30pm
Accelerate Adoption of AI at the Edge with Easy to Use, Low-power Programmable Solutions
By Hussein Osman Consumer Segment Manager, Lattice

1:00 PM
Enabling Technologies II
Where:
Exhibit Hall ET 2
1:00pm - 1:30pm
Challenges and Approaches for Extracting Meaning from Satellite Imagery
By Adam Kraft Deep Learning Engineer, Orbital Insight

Technical Insights I
1:00 PM
Where:
Mission City B1-B5
1:00pm - 1:30pm
Introduction to Optics for Embedded Vision
By Jessica Gehlhar Imaging Engineer

1:00 PM
Fundamentals
Where:
Room 203/204
1:00pm - 1:30pm
Memory-centric Hardware Acceleration for Machine Intelligence
By Sylvain Dubois Vice President, Business Development and Marketing, Crossbar

Enabling Technologies I
1:00 PM
Where:
Exhibit Hall ET 1
1:00pm - 1:30pm
OpenCV: Current Status and Future Plans
By Satya Mallick Interim CEO, OpenCV.org

Technical Insights II
1:00 PM
Where:
Mission City M1-M3
1:00pm - 1:30pm
Visual AI Enables Autonomous Security: Interview with William Santana Li
By William Santana Li Co-founder, Chairman and CEO, Knightscope

Business Insights
1:00 PM
Where:
Theater
1:35pm - 2:05pm
Deploying Deep Learning Models on Embedded Processors for Autonomous Systems with MATLAB
By Bill Chou Sr. Product Marketing Manager, MathWorks

Enabling Technologies II
1:35 PM
Where:
Exhibit Hall ET 2
1:35pm - 2:05pm
Dynamically Reconfigurable Processor Technology for Vision Processing
By Yoshio Sato Sr. Product Marketing Manager, Industrial Business Unit, Renesas

Enabling Technologies I
1:35 PM
Where:
Exhibit Hall ET 1
1:35pm - 2:05pm
Mining Site Data Extraction Using 3D Machine Learning
By Ravi Sahu Founder & CEO, Strayos

Technical Insights I
1:35 PM
Where:
Mission City B1-B5
1:35pm - 2:05pm
Portable Performance via the OpenVX Computer Vision Library: Case Studies
By Frank Brill Design Engineering Director, Cadence

Technical Insights II
1:35 PM
Where:
Mission City M1-M3
1:35pm - 2:05pm
Visual AI Applications and Technologies: Trends and Opportunities
By Jeff Bier Founder, Embedded Vision Alliance / President, BDTI

Business Insights
1:35 PM
Where:
Theater
2:10pm - 2:40pm
High-performance DNNs at the Edge: Co-optimization of Model Architectures, Compiler and Accelerator
By Ramesh Raskar Associate Professor, MIT Media Lab

Enabling Technologies I
2:10 PM
Where:
Exhibit Hall ET 1
2:10pm - 2:40pm
AI Is Moving to the Edge – What’s the Impact on the Semiconductor Industry?
By Yohann Tschudi Technology & Market Analyst, Yole Développement

Business Insights
2:10 PM
Where:
Theater
2:10pm - 2:40pm
Data Annotation At Scale: Pitfalls and Solutions
By Nikita Manovich Senior Software Engineer, Intel

Technical Insights II
2:10 PM
Where:
Mission City M1-M3
2:10pm - 2:40pm
Improving the Safety and Performance of Automated Vehicles Through Precision Localization
By Phil Magney Founder, VSI Labs

Technical Insights I
2:10 PM
Where:
Mission City B1-B5
2:10pm - 2:40pm
Selecting the Right Imager for Your Embedded Vision Application
By Chris Osterwood Founder & CEO, Capable Robot Components

Fundamentals
2:10 PM
Where:
Room 203/204
2:10pm - 2:40pm
Tools and Techniques for Optimizing DNNs on Arm-based Processors with Au-Zone’s DeepView ML Toolkit
By Sébastien Taylor Vision Technology Architect, Au-Zone

Enabling Technologies II
2:10 PM
Where:
Exhibit Hall ET 2
2:45pm - 3:15pm
Using High-level Synthesis to Bridge the Gap Between Deep Learning Frameworks and Custom Hardware Accelerators
By Michael Fingeroff HLS Technologist, Mentor

Enabling Technologies II
2:45 PM
Where:
Exhibit Hall ET 2
2:45pm - 3:15pm
Using TensorFlow Lite to Deploy Deep Learning on Cortex-M Microcontrollers
By Pete Warden Staff Research Engineer, Google

Enabling Technologies I
2:45 PM
Where:
Exhibit Hall ET 1
2:45pm - 3:15pm
Can Simulation Solve the Training Data Problem?
By Peter McGuinness VP AI and Services, Mindtech Global

Technical Insights II
2:45 PM
Where:
Mission City M1-M3
2:45pm - 3:15pm
Deep Learning for Manufacturing Inspection Applications
By Stephen Se Research Manager, FLIR Systems

Fundamentals
2:45 PM
Where:
Room 203/204
2:45pm - 3:15pm
Distance Estimation Solutions for ADAS and Automated Driving
By Gergely Debreczeni Chief Scientist, Almotive

Technical Insights I
2:45 PM
Where:
Mission City B1-B5
2:45pm - 3:15pm
Embedded Vision Applications Lead Way for Processors in AI: A Market Analysis of Vision Processors
By Tom Hackenberg Principal Analyst, IHS Markit

Business Insights
2:45 PM
Where:
Theater
4:20pm - 4:50pm
Applied Depth Sensing with Intel RealSense
By Sergey Dorodnicov Software Architect, Intel

Enabling Technologies I
4:20 PM
Where:
Exhibit Hall ET 1
4:20pm - 4:50pm
Building Complete Embedded Vision Systems on Linux – From Camera to Display
By Clay D. Montgomery Freelance Embedded Multimedia Developer

Fundamentals
4:20 PM
Where:
Room 203/204
4:20pm - 4:50pm
Practical Approaches to Training Data Strategy: Bias, Legal and Ethical Considerations
By Audrey Jill Boguchwal Senior Product Manager, Samasource

Technical Insights II
4:20 PM
Where:
Mission City M1-M3
4:20pm - 4:50pm
Processor Options for Edge Inference: Options and Trade-offs
By Raj Talluri Senior Vice President and General Manager, Mobile Business Unit, Micron

Business Insights
4:20 PM
Where:
Theater
4:20pm - 4:50pm
Using Blockchain to Create Trusted Embedded Vision Systems
By Thies Möller Technical Architect, Basler

Enabling Technologies II
4:20 PM
Where:
Exhibit Hall ET 2
4:20pm - 4:50pm
AI Reliability Against Adversarial Inputs
By Gokcen Cilingir AI Software Architect, Intel

Technical Insights I
4:20 PM
Where:
Mission City B1-B5
4:55pm - 5:25pm
Creating Efficient, Flexible, and Scalable Cloud Computer Vision Applications: An Introduction
By Greg Chu Sr. Computer Vision Scientist, GumGum

Fundamentals
4:55 PM
Where:
Room 203/204
4:55pm - 5:25pm
Game Changing Depth Sensing Technique Enables Simpler, More Flexible 3D Solutions
By Takeo Miyazawa Founder and CEO, Magik Eye

Enabling Technologies I
4:55 PM
Where:
Exhibit Hall ET 1
4:55pm - 5:25pm
Machine Learning-based Image Compression: Ready for Prime Time?
By Michael Gormish Research Manager, Clarifai

Technical Insights II
4:55 PM
Where:
Mission City M1-M3
4:55pm - 5:25pm
Snapdragon Hybrid Computer Vision/Deep Learning Architecture for Imaging Applications
By Robert Lay Product Management, Computer Vision and Camera, Qualcomm

Enabling Technologies II
4:55 PM
Where:
Exhibit Hall ET 2
5:00pm - 6:00pm
Vision Tank Start-up Competition
By Bo Zhu CTO, BlinkAI, Ravi Sahu Founder & CEO, Strayos, Barbara Rosario CTO and Co-founder, Vyrill, Austin Miller Robotics Engineer, Robotic Materials, Dwight Linden COO and Co-founder, Entropix

Business Insights
Where:
Theater
5:30pm - 6:00pm
Efficient Deployment of Quantized ML Models at the Edge Using Snapdragon SoCs
By Felix Baum Director of Product Management, AI Software, Qualcomm

Enabling Technologies II
5:30 PM
Where:
Exhibit Hall ET 2
5:30pm - 6:00pm
Fundamental Security Challenges of Embedded Vision
By Mike Borza Principal Security Technologist, Synopsys

Fundamentals
5:30 PM
Where:
Room 203/204
5:30pm - 6:00pm
REAL3 Time of Flight: A New Differentiator for Mobile Phones
By Walter Bell 3D Imaging Application Engineer, Infineon

Enabling Technologies I
5:30 PM
Where:
Exhibit Hall ET 1

Day 4: Thursday, May 23, 2019

9:00am - 5:30pm
Intel Workshop: Advanced Workshop on Intel Vision Technology and OpenVINO Toolkit (Separate Registration Required)

Full Day Workshops
Where:
Hall 1, Building A
9:00am - 5:30pm
Intel Workshop: Intel Vision Technology and OpenVINO™ Toolkit Workshop (Separate Registration Required)

Full Day Workshops
Where:
Hall A
9:00am - 5:30pm
Khronos Workshop: Hardware Acceleration for Machine Learning and Computer Vision through Khronos Open Standard APIs Workshop (Separate Registration Required)

Full Day Workshops
Where:
Hall B
9:00am - 5:30pm
Synopsys Seminar: Embedded Vision Seminar: Navigating Intelligent Vision at the Edge (Separate Registration Required)

Full Day Workshops
Where:
Hall C

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Doing something cool in practical computer vision and visual AI? Tell the world! The 2020 Embedded Vision Summit call for Presentation Proposals is now open: https://embeddedvisionsummit.com/call-proposals/
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