2020 Sessions

Day 1: Monday, May 18, 2020

• 

  9:00am - 5:00pm

  Training: Computer Vision Applications in OpenCV (Separate Registration Required)

  By Dr. Matt Flagg Principal, Flagg Visual Computing LLC

  
  
  
  
• 

  9:00am - 5:00am

  Training: Deep Learning for Computer Vision with TensorFlow 2.0 (Separate Registration Required)

  By Doug Perry Solution Architect, Mentor Graphics (a subsidiary of Siemens)

  
  
  
  
• 

  9:00am - 5:00pm

  Training: Deep Learning for Computer Vision with PyTorch (Separate Registration Required)

  By Dr. Satya Mallick Interim CEO, OpenCV.org | Partner, Big Vision LLC, Satya Mallick Interim CEO, OpenCV.org

  
  
  
  

Day 2 and 3: Tuesday-Wednesday May 19-20, 2020

• 

  A Computer Vision-Based Personal Trainer That Runs On Your Phone

  By Roland Memisevic CEO, Chief Scientist & Founder, Twenty BN

  
  
  Technical Insights I

  
  
• 

  A New Golden Age for Computer Architecture: Processor Innovation to Enable Ubiquitous AI

  By David Patterson Professor, UC Berkeley

  
  
  Keynote

  
  
• 

  Challenges and Approaches for Cascaded DNNs: A Case Study of Face Detection for Face Verification

  By Ana Salazar Senior Research Manager, Imagination Technologies

  
  
  Technical Insights I

  
  
• 

  Democratizing Computer Vision and Machine Learning with Open, Royalty-Free Standards: OpenVX

  By Kiriti Nagesh Gowda MTS Engineer & Chair of OpenVX, AMD

  
  
  Technical Insights I

  
  
• 

  Deploying AI Software to Embedded Devices Using Open Standards

  By Andrew Richards Founder and CEO, Codeplay

  
  
  Fundamentals

  
  
• 

  Deploying Deep Learning Applications on FPGAs with MATLAB

  By Ram Cherukuri Product Marketing Manager, MathWorks

  
  
  Enabling Technologies I

  
  
• 

  Designing Bespoke CNNs for Target Hardware

  By Woonhyun Nam Director, Algorithms, StradVision

  
  
  Technical Insights I

  
  
• 

  Driver Monitoring Systems: Present and Future

  By Petronel Bigioi CTO, Imaging, Xperi

  
  
  Enabling Technologies I

  
  
• 

  Efficient Audio Processing on the Edge

  By Ton Kalker CTO Audio, Xperi

  
  
  Technical Insights I

  
  
• 

  Embedded Vision: Where’s The Money?

  By Rudy Burger Managing Partner, Woodside Capital

  
  
  Business Insights

  
  
• 

  Feeding the World Through Embedded Vision

  By Travis J. Davis Delivery Manager - Automation Delivery, John Deere

  
  
  Technical Insights I

  
  
• 

  Imaging Systems for Applied Reinforcement Learning Control

  By Damas W. Limoge R&D Engineer, Nanotronics

  
  
  Technical Insights I

  
  
• 

  Improving Power Efficiency for Edge Inferencing with Memory Management Optimizations

  By Nathan Levy Project Leader, Samsung

  
  
  Technical Insights I

  
  
• 

  Introduction to the TVM Open Source Deep Learning Compiler Stack

  By Luis Ceze Professor, University of Washington | Co-founder and CEO, OctoML, Inc.

  
  
  Technical Insights I

  
  
• 

  Joint Regularization of Activations and Weights for Efficient Neural Network Pruning

  By Zuoguan Wang Senior Algorithm Manager, Black Sesame Technologies

  
  
  Technical Insights I

  
  
• 

  Khronos Standard APIs for Accelerating Vision and Inferencing

  By Neil Trevett President, Khronos Group

  
  
  Technical Insights I

  
  
• 

  Machine-Learning-Based Perception on a Tiny, Low-Power FPGA

  By Hoon Choi Fellow, Lattice

  
  
  Enabling Technologies I

  
  
• 

  Modern SoCs for Consumer Robotics and AIoT

  By Zhe Zhang Founder and CEO, Trifo

  
  
  Technical Insights I

  
  
• 

  NGCodec: A Start-Up’s Journey from Launch to Acquisition

  By Oliver Gunasekara Independent Consultant

  
  
  Business Insights

  
  
• 

  Practical DNN Quantization Techniques and Tools

  By Raghuraman Krishnamoorthi Software Engineer, Facebook

  
  
  Technical Insights I

  
  
• 

  Safer and More Efficient Intersections with Computer Vision

  By Jeff Price VP & General Manager, Cubic | GRIDSMART

  
  
  Technical Insights I

  
  
• 

  Structures as Sensors: Smaller-Data Learning in the Physical World

  By Pei Zhang Associate Research Professor, Carnegie Mellon University

  
  
  Technical Insights I

  
  
• 

  Using Learning at the Edge to Deliver Business Value

  By Vera Serdiukova Product Manager, Advanced AI, LG Electronics

  
  
  Business Insights

  
  
• 

  Video Activity Recognition with Limited Data for Smart Home Applications

  By Hongcheng Wang Director, Technical Research, Comcast

  
  
  Technical Insights I

  
  

Day 4: Thursday, May 21, 2020

• 9:00am - 5:30pm

  Synopsys Seminar: Embedded Vision Seminar: Navigating Intelligent Vision at the Edge (Separate Registration Required)

  
  
  Full Day Workshops

  Where:

  Hall C