Live Workshop Sat, Oct 12 • 10:00 AM EST

Applied Computer Vision & PyTorch Workshop

A hands-on 3-hour intensive lab building real-time object tracking algorithms and neural networks with Marcus Vance.

📍 Location: Main Innovation Lab & Zoom Live 🎟️ Capacity: 50 Students 🔥 Seats Left: 12 Remaining

Registration Fee

FREE (Verified Students)

Workshop Overview

Computer vision is driving key innovations in autonomous vehicles, medical diagnostics, and spatial computing. In this workshop, students will construct real-time video analytics pipelines using OpenCV and PyTorch.

Interactive Agenda Schedule

10:00 AM - 11:00 AM

Convolutional Filters & Edge Detection

Understanding matrix transformations, Sobel filters, and spatial convolutions.

11:00 AM - 12:30 PM

Live PyTorch Neural Object Tracking

Implementing pretrained YOLO models and custom bounding box classification.

Workshop Keynote Leaders

Marcus Vance

AI Research Lead • Neural Networks Chair

10+ years in computer vision research and deep learning models.

Reserve Your Seat

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