Explore the evolution of computer vision and artificial intelligence in this 57-minute seminar by Ali Farhadi from the Paul G. Allen School. Delve into topics such as deep neural networks, object detection, and visual reasoning. Learn about building blocks of vision systems, detection techniques, and visual information verification. Discover how segment phrase tables, open frames, and size estimation contribute to advanced visual processing. Examine the role of prediction, temporal reasoning, and transformation matrices in AI-driven vision applications. Gain insights into the latest developments in visual conferences and the future of AI in computer vision.
Overview
Syllabus
Introduction
Deja Vu
Deep Neural Networks
Object Detection
Building Blocks
Vision Conferences
Detection Systems
Visual Information Verification
Segment Phrase Table
Open Frame
Size Information
Size Estimation
Visual Reasoning
Prediction
tempura reasoning
preconditions effects
transformation matrix
demo
question
reasoning
Taught by
Paul G. Allen School
