What's New in Android Machine Learning
Explore Android's on-device machine learning advancements, including platform updates, ML Kit features, and TensorFlow Lite developments for enhanced mobile AI capabilities.
Image Analysis Using AWS Rekognition
Learn to build an image analysis app using AWS Rekognition, from setup to implementation. Discover how to identify objects, faces, and text in images, enhancing your projects with powerful AI capabilities.
Real-time Video Analytics Using RTSP Stream and Computer Vision
Master real-time video analytics using RTSP streams and computer vision to build monitoring systems for object counting, duration tracking, and traffic analysis.
Processing Custom Vision Output with Azure and SQL Databases
Master practical techniques for processing Azure Custom Vision outputs through Stream Analytics, IoT Hub, and SQL databases to transform raw detection data into meaningful, queryable insights.
Object Detection Using OpenCV - Building Computer Vision Models
Master object detection fundamentals with OpenCV, from identifying objects in images to implementing practical computer vision solutions for real-world applications.
Segment Anything 2 (SAM2) - Video Segmentation Model Overview and Architecture
Dive into Meta's SAM2 technology, exploring how this advanced model extends image segmentation capabilities to videos through memory encoding, attention mechanisms, and the groundbreaking SA-V dataset.
AI-Enhanced Medical Mask Compliance in Healthcare - Building a Safety Net with Computer Vision
Discover how computer vision and deep neural networks enhance medical mask compliance monitoring through object detection and facial landmark analysis for improved healthcare safety.
AI Inference Engine for Object Storage Systems
Discover how AI inference capabilities enhance object storage systems by automating metadata generation, enabling advanced object detection, and improving searchability of stored data.
Robin3D: Improving 3D Large Language Models Through Robust Instruction Tuning
Discover how Robin3D advances spatial intelligence through innovative data generation and architectural improvements for better 3D scene understanding and object relationship comprehension.
Reliable Object Detection and Identification in Adverse Conditions
Explore radar-based perception systems for autonomous vehicles, focusing on reliable object detection in adverse weather conditions and multi-sensor fusion techniques for enhanced safety.
PyTorch Vision Transformer - Guide to Fine-Tuning for Object Identification
Master fine-tuning Vision Transformers (ViT) in PyTorch through hands-on coding, focusing on object identification implementation with practical examples and real-time coding demonstrations in Google Colab.
From Handcrafted to End-to-End Learning and Back: A Journey Through Multi-Object Tracking Paradigms
Explore the evolution of multi-object tracking paradigms, from tracking-by-detection to end-to-end learning approaches, examining their effectiveness and current state-of-the-art status.
Using AI Computer Vision in OSINT Data Analysis
Discover how to leverage AI computer vision tools in Azure and AWS to accelerate OSINT data analysis, perform object detection, facial recognition, and chronolocation analysis for forensic investigations.
AI on the Edge: Hardware-Software Co-Design for Graph Analytics and Neural Networks - Session 3
Explore cutting-edge research on hardware-software co-design for AI, including graph analytics, neural networks, object detection, and federated learning.
Finding the Bad Guys with AI - Connecting the Dots in Data
Explore AI-powered data analysis for law enforcement, connecting diverse information sources to uncover hidden links. Learn about Paliscope's innovative software and its real-world applications.
Learning Visual Representations with Limited Labels for Semantic Image Understanding
Explore visual representation learning techniques using limited labels, including self-supervised methods, image grouping, model distillation, and adversarial robustness in deep learning.
Ultra-Efficient On-Device Object Detection with AI-Integrated Smart Glasses Using TinyissimoYOLO
Explore ultra-efficient object detection using AI-integrated smart glasses and TinyissimoYOLO for on-device applications in this cutting-edge presentation.
Cascade Models in Computer Vision to Boost Accuracy and Performance
Explore cascade models in computer vision to enhance accuracy and performance, focusing on object detection tasks, metrics, datasets, and deployment strategies.
CornerNet- Detecting Objects as Paired Keypoints
Explores CornerNet, a novel object detection approach using paired keypoints. Covers corner pooling, heatmap and embedding outputs, loss functions, and experimental results.
DETR - End-to-End Object Detection with Transformers
Explore DETR, a groundbreaking object detection method using Transformers. Learn about its simplified architecture, innovative loss function, and impressive performance in image analysis tasks.
YOLOv1 from Scratch
Comprehensive tutorial on implementing YOLOv1 from scratch, covering architecture, loss function, dataset preparation, training, and evaluation for object detection.