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Schedule 2018

 
 = Technical Insights I Track
 
 = Technical Insights II Track
 
 = Business Insights Track
 
 = Enabling Technologies Track 
 
 = Fundamentals Track 

 

New speakers and presentations are being added daily! Check back soon!

Technical Insights I

Invited Presentation: The Roomba 980: Computer Vision Meets Consumer Robotics
Technical Insights I
Even Faster CNNs: Exploring the New Class of Winograd Algorithms
Technical Insights I
Architecting a Smart Home Monitoring System with Millions of Cameras
Technical Insights I
Deep Quantization for Energy Efficient Inference at the Edge
Technical Insights I
Creating a Computationally Efficient Embedded CNN Face Recognizer
Technical Insights I
Programming Techniques for Implementing Inference Software Efficiently
Technical Insights I
Blending Traditional Computer Vision Algorithms to Deep Neural Network Approaches
Technical Insights I
Real-time Calibration for Stereo Cameras Using Machine Learning
Technical Insights I
Utilizing Neural Networks to Validate Display Content in Mission Critical Systems
Technical Insights I
Building Efficient CNN Models for Mobile and Embedded Applications
Technical Insights I
Computer Vision HW Acceleration for Driver Assistance
Technical Insights I
The Perspective Transform in Embedded Vision
Technical Insights I
Portability and Performance in Embedded Deep Neural Networks: Can We Have Both?
Technical Insights I
Developing Computer Vision Algorithms for Networked Cameras
Technical Insights I
Edge-cloud Tradeoffs in an Event-triggered Data Collection Framework for Autonomous Vehicles
Technical Insights I
Getting More from Your Datasets: Data Augmentation, Annotation and Generative Techniques
Technical Insights I
Hybrid Semi-Parallel Deep Neural Networks (SPDNN) – Example Methodologies & Use Cases
Technical Insights I
Role of the Cloud in Autonomous Vehicle Vision Processing: A View from the Edge
Technical Insights I
New Deep Learning Techniques for Embedded Systems
Technical Insights I
Building a Typical Visual SLAM Pipeline
Technical Insights I
How Simulation Accelerates Development of Self-Driving Technology
Technical Insights I
Deploying CNN-Based Vision Solutions on a $3 Microcontroller
Technical Insights I
Harnessing the Edge and the Cloud Together for Visual AI
Technical Insights I
Invited Presentation: Words, Pictures, and Common Sense: Visual Question Answering
Technical Insights I
Understanding Real-World Imaging Challenges for ADAS and Autonomous Vision Systems
Technical Insights I
Big and Fast: The New Age of Embedded Deep Learning
Technical Insights I
Invited Presentation: What is Neuromorphic Event-based Computer Vision? Sensors, Theory and Applications
Technical Insights I
APIs for Accelerating Vision and Inferencing: Options and Trade-offs
Technical Insights I
The OpenVX Computer Vision and Neural Network Inference Library Standard for Portable, Efficient Code
Technical Insights I
Overcoming Bias in Computer Vision - A Business Imperative
Technical Insights I
Deep Understanding of Shopper Behaviors and Interactions Using Computer Vision
Technical Insights I

Fundamentals

Introduction to Optics for Embedded Vision
Fundamentals
Bad Data, Bad Network; or How to Create the Right Dataset for Your Application
Fundamentals
Depth Cameras: A State-of-the-Art Overview
Fundamentals
Invited Presentation: Solving Vision Tasks Using Deep Learning: An Introduction
Fundamentals
Visual-Inertial Tracking for AR and VR
Fundamentals
Approaches for Energy Efficient Implementation of Deep Neural Networks
Fundamentals
From Feature Engineering to Network Engineering
Fundamentals
Designing Vision Front Ends for Embedded Systems
Fundamentals
Introduction to Lidar for Machine Perception
Fundamentals
Introduction to Creating a Vision Solution in the Cloud
Fundamentals
Higher-Resolution Radar vs. Embedded Vision: Alternatives or Allies?
Fundamentals
Optimize Performance: Start Your Algorithm Development With the Imaging Subsystem
Fundamentals

Business Insights

Vision Entrepreneurs' Panel
Business Insights
Invited Presentation: Ubiquitous $90B AR to Dominate Focused $15B VR by 2022, Becoming a Major Computer Vision Market
Business Insights
What’s Hot? The M&A and Funding Landscape for Machine Vision Companies
Business Insights
Invited Presentation: Intelligent Consumer Robots Powering the Smart Home
Business Insights
How to Get the Labeled Data for Free
Business Insights
Data-driven Business Models Enabled by 3D Vision Technology
Business Insights
Computer Vision for Industrial Inspection: The Evolution from PCs to Embedded Solutions
Business Insights
Executive Perspective Presentation: Building up a Start-up in Embedded Vision: Lessons from Machine Vision
Business Insights
Executive Perspective Presentation: Balancing Safety, Convenience and Privacy in the Era of Ubiquitous Cameras
Business Insights
Using Vision to Transform Retail
Business Insights
Executive Perspective Presentation: Leveraging Edge and Cloud for Visual Intelligence Solutions
Business Insights
The Four Key Trends Driving the Proliferation of Visual Perception
Business Insights
Executive Perspective Presentation: IIoT – The Era of Intelligent Devices
Business Insights
Vision Tank: Competition for Innovative Vision-Based Products
Business Insights

Enabling Technologies

Machine Learning Inference In Under 5 mW with a Binarized Neural Network on an FPGA
Enabling Technologies
New Memory-centric Architecture Needed for AI
Enabling Technologies
Deep Learning on Arm Cortex-M Microcontrollers
Enabling Technologies
Project Trillium: A New Suite of Machine Learning IP from Arm
Enabling Technologies
Enabling Software Developers to Harness FPGA Compute Accelerators
Enabling Technologies
Rethinking Deep Learning: Neural Compute Stick
Enabling Technologies
Programmable CNN Acceleration in Under 1 Watt
Enabling Technologies
Deep Learning in MATLAB: From Concept to Optimized Embedded Code
Enabling Technologies
Designing Smarter, Safer Cars with Embedded Vision Using Synopsys EV Processor Cores
Enabling Technologies
Embedding Programmable DNNs in Low-Power SoCs
Enabling Technologies
A New Generation of Camera Modules: A Novel Approach and Its Benefits for Embedded Systems
Enabling Technologies
High-end Multi-camera Technology, Applications and Examples
Enabling Technologies
Enabling Cross-platform Deep Learning Applications with the Intel CV SDK
Enabling Technologies
Achieving 20 TOPS in 10 Watts on Machine Learning Using Network Pruning on Zynq Ultrascale+ SoCs
Enabling Technologies
Exploiting Reduced Precision for Machine Learning on FPGAs
Enabling Technologies
Neural Network Compiler: Enabling Rapid Deployment of DNNs on Low-Cost, Low-Power Processors
Enabling Technologies
Pilot AI Vision Framework: From Doorbells to Defense
Enabling Technologies
Rapid Development of Efficient Vision Applications Using the Halide Language and CEVA Processors
Enabling Technologies
Executive Perspective Presentation: The Journey and Sunrise Processors: Leading-Edge Performance for Embedded AI
Enabling Technologies
Infusing Visual Understanding in Cloud and Edge Solutions Using State Of-the-Art Microsoft Algorithms
Enabling Technologies
Mythic's Analog Deep Learning Accelerator Chip: High Performance Inference
Enabling Technologies
NovuTensor: Hardware Acceleration of Deep Convolutional Neural Networks for AI
Enabling Technologies
Achieving High-Performance Vision Processing for Embedded Applications with Qualcomm SoC Platforms
Enabling Technologies

Keynote Speaker

From Mobility to Medicine: Vision Enables the Next Generation of Innovation
Keynote Speaker
Think Like an Amateur, Do As an Expert: Lessons from a Career in Computer Vision
Keynote Speaker
Join us May 21-24, 2018 in Santa Clara, California.
Book your discounted hotel room now - offer expires April 30!