CAP6412 - Advanced Computer Vision - Lecture 24: Project Presentations
Students present their projects, showcasing innovative approaches in computer vision and AI. Topics include object detection, video analysis, and visual question answering, highlighting challenges and novel solutions.
Rethinking and Improving Relative Position Encoding for Vision Transformer - Lecture 23
Explore vision transformer improvements through relative position encoding, examining bias modes, piecewise indexing, and 2D calculations for enhanced performance in image processing tasks.
Instance Segmentation - Lecture 26
Explore instance segmentation in computer vision, covering Mask R-CNN, ROI pooling, and alignment techniques for precise object detection and pixel-level classification.
Cross-View Geo-Localization - Ground-to-Aerial Image Matching
Explore cross-view geo-localization techniques, focusing on ground-to-aerial image matching. Learn about approaches, limitations, and advancements in this field of computer vision.
Introduction to Convolutional Neural Networks - Part I - Lecture 8
Introduction to convolutional neural networks, covering architecture, applications in computer vision and natural language processing, with examples like AlexNet and super-resolution techniques.
Edge Detection in Computer Vision - Part II - Lecture 7
Explore advanced edge detection techniques, including Canny algorithm and deep learning approaches, for improved computer vision applications in image processing and analysis.
Edge Detection in Computer Vision - Part I - Lecture 6
Comprehensive exploration of edge detection in computer vision, covering types, applications, algorithms, and evaluation methods. Includes real-world examples and practical insights for implementation.
Image Filtering in Computer Vision - Part II - Lecture 5
Explore advanced image filtering techniques, including derivative operations, Gaussian smoothing, and various filter types. Learn their applications and properties in computer vision.
Basics of Linear Algebra for Computer Vision - Part II - Lecture 3
Explore essential linear algebra concepts for computer vision, including matrix operations, determinants, and transformations, enhancing your understanding of image processing fundamentals.
Introduction to Computer Vision - Part II - Lecture 2
Explore computer vision fundamentals, deep learning applications, and advanced topics like object detection, segmentation, and action recognition in images and videos.
Introduction to Computer Vision - Part I - Lecture 1
Explore computer vision fundamentals, from image processing to deep learning applications. Covers perception, image types, and real-world uses in retail and autonomous vehicles.
Computer Vision - Administrative and Course Overview - Lecture 1
Introduction to graduate-level computer vision, covering mathematical foundations, deep learning applications, and advanced topics like object detection and image segmentation.
Imagen: Text-to-Image Generation Using Diffusion Models - Lecture 9
Explore Imagen, a text-to-image diffusion model, covering its architecture, efficiency improvements, and key techniques like thresholding and upsampling.
Visual Question Answering: Grounded Systems and Transformer Capsules
Learn about Grounded Visual Question Answering systems, their limitations, and innovative approaches using Transformers with Capsules for improved performance in image-text understanding tasks.
Computer Vision for Visual Effects Lectures Spring 2014
The lectures accompany the textbook Computer Vision for Visual Effects, published by Cambridge University Press in Fall 2012.
Core Web Vitals: How to Make Your Angular App Feel Like a Dream
Discover how to enhance your Angular app's performance and user experience through Core Web Vitals in this 43-minute Devoxx conference talk. Learn about the importance of Core Web Vitals metrics in measuring real-world web app performance and their impac…
A Mathematical Vocabulary for Textures and its Astronomical Applications
Explore mathematical approaches to texture analysis and their applications in astronomy, focusing on innovative techniques for cosmic structure interpretation.
Remove Objects from Images Like Magic - Step-by-Step Guide
Learn to remove objects from images using Inpainter, combining semantic segmentation and EdgeConnect. Master installation, single and multiple object removal for photo editing and data augmentation.
Oh No, Not Another Chatbot - Java and AI for Real Business Use Cases
Explore Java development with AI using LangChain4J and Spring AI. Learn to extract information from images for automatic form-filling using Azure OpenAI and Container Apps in a microservice architecture.
Crafting the Ultimate Docker Image for Spring Applications
Learn to build efficient Docker images for Spring apps, from basic to advanced techniques, optimizing deployment speed and traffic volume.
How to Use OCR: Getting Started with Optical Character Recognition
Explore OCR models, benchmark performance, and follow a step-by-step guide to implement Optical Character Recognition in your projects.