CMU researchers have proposed a new approach for teaching everyday users how to create prompts for generative AI programs and improving their interactions with these models. Today's generative ...

The labs are the heart of this course. Much of what you learn in this course will be through completing these labs. No proxylab submissions will be accepted after August 4th at 11:59pm ET, with or ...

The CMU Multi-PIE face database contains more than 750,000 images of 337 people recorded in up to four sessions over the span of five months. Subjects were imaged under 15 view points and 19 ...

This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis.

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Contact Information Department of Computer Science Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213-3890 Office: GHC 6015 Phone: (412) 268-8510 lastname @ cs dot cmu dot edu ...

For all exercises, to receive credit you need to obtain a green check in CS Academy. There is no partial credit on individual exercises. For guided exercises, watching the guided video is required -- ...

An implementation of ‘Lazy Snapping’ and ‘GrabCut’: Based on Interactive Graph Cuts Lazy Snapping [2] and GrabCut [3] are 2D image segmentation tools based on the interactive graph-cuts technique ...

Click here to return to the main Kodu Resources page. If you're browsing a page with links to Kodu worlds, when you click on a link the world will be downloaded, but what happens after that depends on ...

The main language you have been exposed to up until now is Python. Python is an interpreted language. That means that your program is read and translated at runtime. You could model this as… Source ...

While at DARPA, I was unable to write for my blog. But watch this space for new posts, as soon as I get settled at Microsoft.

Introduction. Advances in large language models have created opportunities to adapt natural language processing tasks to new domains without the computational labor of fine-tuning models on tens of ...