Extending AI: From Industry to Innovation
Explore industry insights on MLOps and AI implementation, covering challenges in model management, revenue optimization, and governance. Learn about integrating vision models, predictive maintenance, and generative AI in various sectors.
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.
The Perceptron as a Roadmap - From Neuron Structure to Artificial Neural Networks
Explore the evolution of neural networks from biological neurons to machine learning, using the perceptron as a guide. Uncover connections to associative memories, function approximation, and surprising mathematical links.
Reflected Diffusion Models
Explore innovative techniques for enhancing diffusion models, improving sample quality and efficiency in generative AI applications.
Learning Algorithms in Uncertainty and AI - Session 5
Explore cutting-edge research on cost-sensitive failure recognition, interpretable decision trees, and Bayesian active learning in AI. Gain insights into advanced learning algorithms and their applications.
The Lottery Ticket Hypothesis for Gigantic Pre-Trained Models
Explore the lottery ticket hypothesis in large pre-trained models, uncovering efficient subnetworks for transfer learning in NLP and computer vision tasks.
Robust Parameter Estimation in Computer Vision
Explore robust parameter estimation in computer vision, focusing on algorithms for handling outliers in large-scale data and recent developments in the field.
Perceive Before Learning to Plan or Act - Multitask Perception Systems for Autonomous Agents
Explore advanced perception systems for autonomous agents in dynamic environments. Covers multi-object tracking, human motion forecasting, and social interaction analysis for safe navigation and interaction.
Ubiquitous 3D Vision in the Wild
Explore cutting-edge 3D vision techniques for object detection, tracking, and reconstruction from various camera platforms. Gain insights into advanced algorithms for human motion analysis and multi-human tracking.
Annotation-Efficient Object Detection: Unsupervised Discovery to Active Learning
Explore annotation-efficient object detection techniques, from unsupervised discovery to active learning strategies, enhancing intelligent systems with less manual input.
AI Synthesis for Metaverse Capabilities and Next-Generation AI VFX
Explore cutting-edge AI technologies for creating photorealistic digital humans, virtual worlds, and immersive experiences. Discover advancements in 3D deep learning, neural rendering, and AI-driven VFX for the metaverse era.
Diffusion Models
Explore advanced concepts in diffusion models, including theory, applications, and recent developments in probabilistic AI.
Diffusion Policy - LeRobot Research Presentation 2
Explore Diffusion Policy for robotic control with researcher Cheng Chi, covering innovative approaches to decision-making and action generation in complex environments.
OpenVLA: An Open-Source Vision-Language-Action Model - Research Presentation
Explore OpenVLA, an open-source vision-language-action model, in this research presentation by Moo Jin Kim. Learn about cutting-edge developments in AI that integrate visual, linguistic, and action-based learning.
Object Detection 101 Course - Computer Vision
Learn object detection fundamentals and apply skills in four practical projects, including car counting, people counting, PPE detection, and poker hand recognition using YOLO and computer vision techniques.
Learn OpenCV with Python - Including 3 Projects on Computer Vision
Comprehensive Python-based OpenCV tutorial covering installation, core principles, and practical projects. Ideal for beginners, focuses on hands-on implementation of computer vision techniques for real-world problem-solving.
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.
Learn OpenCV in Python - Computer Vision Projects
Comprehensive Python-based OpenCV tutorial covering fundamentals to advanced applications, including face detection, object tracking, and image classification. Ideal for aspiring computer vision professionals.
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.