Sessions

Here are the first talks accepted into the 2023 program. Check back soon for more!

(Want to propose a talk? See our Call for Proposals page!)

Tracks

Main Conference Days—Tuesday/Wednesday:

A 2023 Update on the 3D Sensing Market and Industry
By Florian Domengie Senior Technology and Market Analyst, Yole Intelligence

Business Insights
Processing Raw Images Efficiently on the MAX78000 Neural Network Accelerator
By Gorkem Ulkar Principal ML Engineer, Analog Devices

Enabling Technologies
Introduction to Semantic Segmentation
By Sébastien Taylor Vice President of Research and Development, Au-Zone Technologies

Fundamentals
Introduction to the MIPI CSI-2 Image Sensor Interface Standard
By Haran Thanigasalam Camera and Imaging Consultant, MIPI Alliance

Fundamentals
Item Recognition in Retail
By Sumedh Datar Senior Machine Learning Engineer, 7-Eleven

Technical Insights
LiDAR Technologies and Markets: What’s Changing?
By Florian Domengie Senior Technology and Market Analyst, Yole Intelligence

Business Insights
Making Sense of Sensors: Combining Visual, Laser and Wireless Sensors to Power Occupancy Insights for Smart Workplaces
By Rakshit Agrawal Vice President of Research & Development, Camio

Technical Insights
MIPI CSI-2 Image Sensor Interface Standard Features Enable Efficient Embedded Vision Systems
By Haran Thanigasalam Camera and Imaging Consultant, MIPI Alliance

Technical Insights
Multiple Object Tracking Systems
By Javier Berneche Senior Machine Learning Engineer, Tryolabs

Fundamentals
Optimized Image Processing for Automotive Image Sensors with Novel Color Filter Arrays
By Young-Jun Yoo VP of Nextchip Automotive Biz & Ops Unit, Nextchip

Enabling Technologies
Responsible AI: Tools and Frameworks for Developing AI Solutions
By Mrinal Karvir Senior Cloud Software Engineering Manager, Intel

Business Insights
Image Sensors to Enable Low-cost and Low-power Computer Vision Applications
By Ruchi Upadhyay Technical Marketing Manager, STMicroelectronics

Enabling Technologies
Sparking the Next Generation of Arm-Based Cloud-Native Smart Camera Designs
By Stephen Su Senior Product Manager, Arm, Inc.

Enabling Technologies
State-of-the-Art Model Quantization and Optimization for Efficient Edge AI
By Hyunjin Kim Senior Staff Engineer, DeepX

Enabling Technologies
Streamlining Embedded Vision Development with Smart Vision Components
By Selena Schwarm Teamlead Global Partner Management, Basler AG

Enabling Technologies
Tensilica Processor Cores Enable Sensor Fusion for Robust Perception
By Pulin Desai Group Director of Product Marketing, Cadence Design System

Enabling Technologies
The OpenVX Standard API: Computer Vision for the Masses
By Kiriti Nagesh Gowda SMTS Engineer / Chair of OpenVX Working Group, AMD / Khronos

Technical Insights
Toward the Era of AI Everywhere
By Lokwon Kim CEO, DeepX

Enabling Technologies
Using a Neural Processor for Always-Sensing Cameras
By Sharad Chole Chief Scientist, Expedera Inc.

Enabling Technologies
Using Computer Vision to Modernize Logistics
By Sam Lurye Founder and CEO, Kargo

Business Insights
Vision Tank Start-Up Competition
By Vin Ratford CEO, Piera Systems, Forrest Iandola AI Research Scientist, Meta, John Feland Founder and CEO, Argus Insights, Shweta Shrivastava Senior Product Leader, Waymo

Business Insights
Introduction to Computer Vision with Convolutional Neural Networks
By Mohammad Haghighat Independent

Fundamentals
How to Select, Train, Optimize and Deploy Edge Vision AI Models in Three Days
By Steven Kim Chief Strategy Officer, Nota AI

Enabling Technologies
A New, Open-Standards-Based, Open Source Programming Model for All Accelerators
By Charles Macfarlane Chief Business Officer, Codeplay Software

Enabling Technologies
Challenges in Architecting Vision Inference Systems for Transformer Models
By Cheng Wang Co-Founder and SVP Software/Architecture, Flex Logix

Enabling Technologies
A Very Low-Power Human-Machine Interface Using ToF Sensors and Embedded AI
By Di Ai Machine Learning Engineer, 7 Sensing Software

Enabling Technologies
Accelerating Newer ML Models Using the Qualcomm AI Stack
By Vinesh Sukumar Senior Director – Head of AI/ML Product Management, Qualcomm Technologies Inc.

Enabling Technologies
AI-ISP: Adding Real-Time AI Functionality to Image Signal Processing with Reduced Memory Footprint and Processing Latency
By Mankit Lo Chief Architect, NPU IP Development, Verisilicon

Enabling Technologies
Battery-Powered Edge AI Sensing: A Case Study Implementing Low-Power, Always-On Capability
By Peter Fenn Director, Advanced Applications Group, Avnet

Enabling Technologies
Bias in Computer Vision – It’s Bigger than Facial Recognition!
By Susan Kennedy Assistant Professor of Philosophy, Santa Clara University

Business Insights
Bring Your ML Models to the Edge with the DeGirum DeLight Cloud Platform
By Shashi Chilappagari Co-Founder and Chief Architect, DeGirum Corp.

Enabling Technologies
Building Large-Scale Distributed Computer Vision Solutions Without Starting from Scratch
By Darren Odom Director of Platform Business Development, Network Optix

Enabling Technologies
Can AI Solve the Low Light and HDR Challenge?
By Benny Munitz VP Business Development, Visionary.ai

Enabling Technologies
Computer Vision in Sports: Scalable Solutions for Downmarket Leagues
By Mehrsan Javan Chief Technology Officer, SportLogiq

Technical Insights
Fireside Chat: Embedded Vision in Robotics, Biotech and Education–A Conversation With Dean Kamen
By Dean Kamen Founder, DEKA Research and Development

Business Insights
DeepX’s New M1 NPU Delivers Flexibility, Accuracy, Efficiency, and Performance
By Jay Kim Executive Vice President, DeepX

Enabling Technologies
Deploy Your Embedded Vision Solution on Any Processor Using Edge Impulse
By Amir Sherman Global Semiconductor Business Development Director, Edge Impulse

Enabling Technologies
Develop Next-Gen Camera Apps Using Snapdragon Computer Vision Technologies
By Judd Heape VP of Product Management for Camera, Computer Vision and Video Technology, Qualcomm Technologies Inc.

Enabling Technologies
Developing a Computer Vision System for Autonomous Satellite Maneuvering
By Gabriel Sutherland Machine Learning Engineer, SCOUT Space

Technical Insights
Developing an Efficient Automotive Augmented Reality Solution Using Teacher-Student Learning and Sprints
By Jack Sim CTO, STRADVISION

Enabling Technologies
Device Differentiation Via a Low-Power, AI-Driven Media Processing Unit
By Petronel Bigioi CTO, Xperi

Enabling Technologies
Efficiently Map AI and Vision Applications onto Multi-Core AI Processors Using CEVA’s Parallel Processing Framework
By Rami Drucker Machine Learning SW Architect, CEVA DSP

Enabling Technologies
Enabling Ultra-Low Power Edge Inference and On-Device Learning with Akida
By Nandan Nayampally Chief Marketing Officer, BrainChip

Enabling Technologies
Fast-Track Design Cycles Using Lattice’s FPGAs
By Hussein Osman Segment Marketing Director, Lattice Semiconductor

Enabling Technologies
Visual Anomaly Detection with FOMO-AD
By Jan Jongboom Co-founder & CTO, Edge Impulse

Enabling Technologies

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See you May 22-24, 2023 at the Santa Clara Convention Center!

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