2018 Embedded Vision Summit Archive

Visit the Current Embedded Vision Summit Site

Day 1: Monday, May 18

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

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

Full Day Workshops
Where:
Hall B

Day 2: Tuesday, May 19

9:00 am - 10:30 am
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
What’s Changing in Autonomous Vehicle Investments Worldwide – and Why?
By Rudy Burger Managing Partner, Woodside Capital

Business Insights
10:45 am - 11:15 am
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
10:45 am - 11:15 am
Performance Analysis for Optimizing Embedded Deep Learning Inference Software
By Gian Marco Iodice Staff Compute Performance Software Engineer, ARM

10:45 AM
Technical Insights I
Where:
Mission City B1-B5
10:45 am - 11:15 am
Beyond CNNs for Video: the Chicken vs. the Datacenter
By Steve Teig Chief Technology Officer, Xperi

10:45 AM
Technical Insights II
Where:
Mission City M1-M3
11:20 am - 11:50 am
Fast and Accurate RMNet: A New Neural Network for Embedded Vision
By Ilya Krylov Software Engineering Manager, Intel

10:45 AM
Technical Insights I
Where:
Mission City B1-B5
11:20 am - 11:50 am
Making Cars That See - Failure is Not an Option
By Burkhard Huhnke Vice President of Automotive Strategy, Synopsys

10:45 AM
Business Insights
Where:
Theater
1:00 pm - 1:30 pm
Commercial Grade SLAM Frameworks for Indoor and Outdoor Applications
By John Williams CTO and Co-Founder, Kudan

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

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

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

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

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

1:35 PM
Business Insights
Where:
Theater
1:35 pm - 2:05 pm
Using Deep Learning for Video Event Detection on a Compute Budget
By Praveen Nayak Tech Lead, Pathpartner

1:35 PM
Technical Insights II
Where:
Mission City M1-M3
1:35 pm - 2:05 pm
Accelerating Smart Camera Time to Market Using a System-on-Module Approach
By Ian Billing Quality Assurance Manager, Teknique

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

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

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

1:35 PM
Technical Insights I
Where:
Mission City B1-B5
2:10 pm - 2:40 pm
Addressing Corner Cases in Embedded Computer Vision Applications
By David Julian CTO and Founder, Netradyne

2:10 PM
Business Insights
Where:
Theater
2:10 pm - 2:40 pm
AI-Powered Identity: Evaluating Face Recognition Capabilities
By Ioannis Kakadiaris Distinguished University Professor of Computer Science, University of Houston

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

2:10 PM
Fundamentals
Where:
Room 203/204
2:10 pm - 2:40 pm
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

2:10 PM
Enabling Technologies I
Where:
Exhibit Hall ET 1
2:10 pm - 2:40 pm
Hardware-aware Deep Neural Network Design
By Peter Vajda Research Manager, Facebook

2:10 PM
Technical Insights I
Where:
Mission City B1-B5
2:30 pm - 3:30 pm
Super Fascinating Talk Title
By Bing Yu Senior Technical Manager/Architect

2:10 PM
Enabling Technologies I
AI+: Combining AI and Other Critical Functions Using Intel FPGAs
By Ronak Shah Director, AI Marketing Strategy, Intel PSG

2:10 PM
Enabling Technologies I
Where:
Exhibit Hall ET 2
2:45 pm - 3:15 pm
Object Trackers: Approaches and Applications
By Minje Park Deep Learning R&D Engineer, Intel

2:45 PM
Technical Insights I
Where:
Mission City B1-B5
2:45 pm - 3:15 pm
Neuromorphic Event-based Vision: From Disruption to Adoption at Scale
By Luca Verre Co-founder and CEO, Prophesee

2:45 PM
Enabling Technologies I
Where:
Exhibit Hall ET 2
2:45 pm - 3:15 pm
Highly Efficient, Scalable Vision and AI Processors IP for the Edge
By Pulin Desai Vision Product Marketing, Cadence

2:45 PM
Enabling Technologies I
Where:
Exhibit Hall ET 1
2:45 pm - 3:15 pm
Enabling the Next Kitchen Experience Through Embedded Vision
By Sugosh Venkataraman Vice President Technology, Whirlpool

2:45 PM
Business Insights
Where:
Theater
2:45 pm - 3:15 pm
Designing Home Monitoring Cameras for Scale
By Changsoo Jeong Head of Algorithm, Ring, Ilya Brailovskiy Principal Engineer, Ring

2:45 PM
Technical Insights II
Where:
Mission City M1-M3
2:20 pm - 2:50 pm
Selecting and Exploiting Sensors for Sensor Fusion in Consumer Robots
By Daniel Casner Systems Engineer, Anki (former)

4:20 PM
Technical Insights II
Where:
Mission City M1-M3
2:20 pm - 2:50 pm
Fundamentals of Monocular SLAM
By Shrinivas Gadkari Design Engineering Director, Cadence

4:20 PM
Fundamentals
Where:
Room 203/204
2:20 pm - 2:50 pm
Enabling Automated Design of Computationally Efficient Deep Neural Networks
By Bichen Wu Graduate Student Researcher, EECS, University of California, Berkeley

4:20 PM
Technical Insights I
Where:
Mission City B1-B5
2:20 pm - 2:50 pm
An Ultra-low-power Multi-core Engine for Inference on Encrypted DNNs
By Petronel Bigioi CTO, Imaging, Xperi

4:20 PM
Enabling Technologies I
Where:
Exhibit Hall ET 1
2:20 pm - 2:50 pm
Accurately Measuring Viewer Attention for Maximum Marketing Impact Using Computer Vision
By Vinod Kathail Xilinx Fellow and Chief Architect, Xilinx

4:20 PM
Business Insights
Where:
Theater
4:20 pm - 4:50 pm
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

4:20 PM
Enabling Technologies I
Where:
Exhibit Hall ET 2
4:55 pm - 5:25 pm
Low-power Computer Vision: Status, Challenges and Opportunities
By Yung-Hsiang Lu Professor, Purdue University

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

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

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

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

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

5:30 PM
Fundamentals
Where:
Room 203/204

Day 3: Wednesday, May 20

9:00 am - 10:30 am
The Future of Computer Vision and Machine Learning is Tiny
By Manisha Agrawal Software Applications Engineer, Texas Instruments

Keynote
Where:
Mission City B1-B5
6:00 pm - 8:00 pm
Women in Vision
By Yuan Li Director, Applied AI Lab, Horizon Robotics

Breaks
Where:
Big Hall C
10:45 am - 11:15 am
APIs for Accelerating Vision and Inferencing: an Industry Overview of Options and Trade-offs
By Ramesh Raskar Associate Professor, MIT Media Lab

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

Business Insights
Where:
Theater
10:45 am - 11:15 am
DNN Challenges and Approaches for L4/L5 Autonomous Vehicles
By

Technical Insights I
Where:
Mission City B1-B5
10:45 am - 11:15 am
How to Get the Best Deep Learning Performance with the OpenVINO Toolkit
By

Enabling Technologies I
Where:
Exhibit Hall ET 2
11:20 am - 11:50 am
5+ Techniques for Efficient Implementation of Neural Networks
By Bert Moons Hardware Design Architect, Synopsys

Fundamentals
Where:
Room 203/204
2:10 pm - 2:40 pm
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
Where:
Exhibit Hall ET 1
4:20 pm - 4:50 pm
AI Reliability Against Adversarial Inputs
By ,

Technical Insights I
Where:
Mission City B1-B5

Day 4: Thursday, May 21

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

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

Full Day Workshops
Where:
Hall A
9:00 am - 5:30 pm
Khronos Workshop: Hardware Acceleration for Machine Learning and Computer Vision through Khronos Open Standard APIs Workshop (Separate Registration Required)
By Manisha Agrawal Software Applications Engineer, Texas Instruments

Full Day Workshops
Where:
Hall B
9:00 am - 5:30 pm
Synopsys Seminar: Embedded Vision Seminar: Navigating Intelligent Vision at the Edge (Separate Registration Required)
By Ramesh Raskar Associate Professor, MIT Media Lab

Full Day Workshops
Where:
Hall C

© Copyright Grand Conference Theme Demo - Theme by ThemeGoods