Vision Transformer for Efficient Machine Learning - Lecture 16
Dive into Vision Transformer architecture and implementation with MIT Prof. Song Han, exploring key concepts and practical applications in modern computer vision and machine learning.
Data Mining: Embeddings and Representations in Machine Learning - Spring 2023
Explore data representation techniques from TF-IDF to contextualized embeddings, covering word analogies, societal biases, and image representations for advanced data mining applications.
Leaf Tracking, Counting and Occlusion in Plants Using Artificial Neural Networks
Discover how to implement artificial neural networks for plant leaf analysis, including tracking, counting, and handling occlusion through advanced image processing techniques.
Live Coding: Avoiding Traffic with Wolfram Language
Explore real-time problem-solving using Wolfram Language to avoid London's morning rush hour traffic through API calls, machine learning, image processing, and graph theory.
Live Coding: Exploring Mars with Wolfram Language
Explore Mars using Wolfram Language: Generate and analyze Martian surface videos, connect to NASA's API, apply frame interpolation, and utilize machine learning for image analysis.
What's New and Improved in Wolfram Language Version 14
Explore Wolfram Language 14's enhancements in AI, graphics, engineering, math, and more. Learn about LLM integration, data visualization, PDE models, and improved computational capabilities.
Modeling Bottom-Up and Top-Down Visual Attention in Humans and Monkeys - 2009
Explore computational models of visual attention combining bottom-up and top-down influences, comparing predictions to human and monkey behavior, with applications to real-world vision challenges.
Understanding the Visual World Through Naturally Supervised Code
Explore symbolic structure inference from visual data using neuro-symbolic methods. Learn to leverage natural supervision for discovering repetitive patterns, object intrinsics, and grounded visual concepts.
Tokenizing Assets at Institutional Scale with Kaleido's Digital Asset Platform
Explore asset tokenization for financial institutions using Kaleido's Digital Asset Platform. Learn about overcoming challenges, leveraging opportunities, and implementing next-generation functionality for institutional-scale tokenization.
Hyperledger In-depth: The Emerging Tech Stack for Digital Assets and Asset Tokenization
Explore the emerging tech stack for digital assets and asset tokenization, featuring live use cases and lessons learned from building dedicated platforms at an institutional scale.
Python - OpenCV for Computer Vision
Learn to use OpenCV with Python for computer vision tasks. Process images and live video, create bounding boxes, and trigger events based on real-time input. Run locally for privacy on various systems.
Machine-Learning Enabled Imaging: From Microscopy to Medical Imaging to Astronomy - Kirk Lecture
Explore machine learning's impact on imaging across microscopy, medical imaging, and astronomy. Learn how neural networks leverage training data and physical models for improved image quality and resolution.
What Is an Image? - C++ Computer Graphics Tutorial - GPU, GUI, 2D Graphics and Pixels Explained
Explore image fundamentals, pixel formats, colorspaces, and GPU complexities in computer graphics. Gain insights into memory allocation, alignment, and API interoperability for efficient image processing.
Train YOLOv7 Object Detection on Custom Dataset in Google Colab
Step-by-step guide to train and deploy YOLOv7 object detection on custom datasets using Google Colab's free GPU. Covers model evaluation and inference on images, videos, and webcam.
Python Weeds Detection Using YOLOR - OpenCV | 2021
Learn to build a real-time weed detection model using YOLOR and OpenCV in Python. Extract weed coordinates and implement computer vision techniques for agricultural applications.
VinAI CVPR 2021 Paper Presentations
Explore cutting-edge computer vision research through live presentations of VinAI's seven accepted papers at the prestigious CVPR 2021 conference.
StyleFactory - Better Style Alignment in Image Creation Through Style-Strength-Based Control
Explore innovative techniques for controlling style alignment in AI image generation through advanced style-strength methodologies and enhanced user interface controls.
Chromaticity Gradient Mapping for Interactive Control of Color Contrast in Images and Video
Discover innovative techniques for manipulating color contrast in visual media through interactive chromaticity gradient mapping and advanced control methods.
Extracting Structured Data from Images with OCR and LLM
Discover how to combine OCR technology with Large Language Models to efficiently extract and structure data from images, featuring practical demonstrations using Tesseract.js and OpenAI integration.
Building Local LLMs for OCR, Object Detection and Image Parsing Using Mono-InternVL
Master local implementation of Mono-InternVL for advanced computer vision tasks including OCR, object detection, and image parsing using Python, achieving high-precision results.
Building a Visual Inspection System for Defect Detection with Python
Learn to create a Python-based visual inspection system that automatically detects and identifies surface defects using AI and computer vision techniques.