awesome-computer-vision
github.com/jbhuang0604/awesome-computer-vision ↗A curated list of awesome computer vision resources
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me tutorials and talks resources from awesome-computer-vision"
Installation instructions →What's inside
Tutorials and talks
- 3D Computer Vision: Past, Present, and Future
Steve Seitz (University of Washington) 2011
- A Gentle Tutorial of the EM Algorithm
Jeff A. Bilmes (UC Berkeley) 1998
- Applications to Machine Vision
Andrew Blake (Microsoft Research) 2008
- A Tour of Modern "Image Processing"
Peyman Milanfar (UC Santa Cruz/Google) 2010
- A Trillion Photos
Steve Seitz (University of Washington) 2013
- A tutorial on Deep Learning
Geoffrey E. Hinton (University of Toronto)
Datasets
- 3D Object Dataset
- Are we there yet?
Which paper provides the best results on standard dataset X?
- Barcelona Dataset
- Caltech Pedestrian Detection Benchmark
- Caltech-UCSD Birds 200
- CAM2
Software
Courses
- Advances in Computer Vision
Antonio Torralba and Bill Freeman (MIT)
- Computational Camera and Photography
Ramesh Raskar (MIT Media Lab)
- Computational Photography
Kyros Kutulakos (University of Toronto)
- Computational Photography
Rob Fergus (NYU)
- Computational Photography
Irfan Essa (Georgia Tech)
- Computational Photography
James Hays (Brown University)
Resources for students
- Advice for Graduate Students
Aaron Hertzmann (Adobe Research)
- Common mistakes in technical writing
Wojciech Jarosz (Dartmouth College)
- Designing conference posters
Colin Purrington
- Five Principles for Choosing Research Problems in Computer Graphics
Thomas Funkhouser (Cornell University)
Blogs
- AI Shack
Utkarsh Sinha
- Andrej Karpathy blog
Andrej Karpathy
- Computer Vision Basics with Python Keras and OpenCV
Jason Chin (University of Western Ontario)
- Computer vision for dummies
Vincent Spruyt
- Computer Vision Talks
Eugene Khvedchenya
Papers
Showing a sample of 490 resources. View the full list on GitHub →