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Human-AI Interaction for Computer Vision

Bolei Zhou via YouTube

Overview

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This course focuses on Human-AI interaction for computer vision, with a duration of 52 minutes. The learning outcomes include understanding the applications of AI in real-world scenarios, exploring the relationship between AI and humans, and learning about human-AI interaction in image classification. The course teaches skills such as using generative AI for content editing, text-guided image generation, and spatial control of image generation. The teaching method includes lectures and practical examples. The intended audience for this course is individuals interested in computer vision, AI, and human-AI interaction.

Syllabus

Intro
Many real-world Applications of Al and Compute
Al is achieving human-level and superhuman perfor
Reframing the relation between Al and hu
Human control versus Al autonomy Is it binary?
Ensuring human control while increasing au
Human-Al Interaction in Image Classific
How humans use generative Al to edit and CE
Al-assisted content editing
OpenAI DALLE 2: Text2mg
Text-guided Image Generation
Limited Human Controllability for Diffusion M
Other ways to convey human intent to generative
Spatial Control of Image Generatio
Playable Environment on NeRFs
Learning a visuomotor driving policy
Human-in-the-loop learning with safety
Human-AI Interaction in Computer Vision

Taught by

Bolei Zhou

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