2018 Embedded Vision Summit Archive
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All Times
Day 1
Day 2
Day 3
Day 4
Breaks
Keynote
10:45 AM
1:00 PM
1:35 PM
2:10 PM
2:45 PM
4:20 PM
4:55 PM
5:30 PM
Tracks
All Topics
Technical All
Technical Insights I
Technical Insights II
Business Insights
Enabling Technologies I
Enabling Technologies II
Fundamentals
Full Day Workshops
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