Joseph Chet Redmon

Welcome to my website!

I am a graduate student advised by Ali Farhadi. I work on computer vision.

I maintain the Darknet Neural Network Framework, a primer on tactics in Coq, occasionally work on research, and try to stay off twitter.

Outside of computer science, I enjoy skiing, hiking, rock climbing, and playing with my Alaskan malamute puppy, Kelp!

Talks and Teaching

The Ancient Secrets of Computer Vision - University of Washington, Spring 2018

Computers can see. Now what? - TEDxGateway in Mumbai, India

How computers learn to recognize objects instantly - TED2017 in Vancouver, Canada


Who Let The Dogs Out? Modeling Dog Behavior From Visual Data

PDF arXiv

CVPR 2018

YOLOv3: An Incremental Improvement

PDF arXiv

Tech report

IQA: Visual Question Answering in Interactive Environments

PDF arXiv

CVPR 2018

YOLO9000: Better, Faster, Stronger

PDF arXiv Reviews Slides

CVPR 2017, Best Paper Honorable Mention

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

PDF arXiv Reviews Slides Talk

ECCV 2016

You Only Look Once: Unified, Real-Time Object Detection

PDF arXiv Reviews Slides Talk

CVPR 2016, OpenCV People's Choice Award

Real-Time Grasp Detection Using Convolutional Neural Networks

PDF arXiv Reviews Slides

ICRA 2015

What people are saying.

... Either The Least Or Most Employable Person Ever
- The Huffington Post
He knows how to do the internet.
- Lauren Rosenthal, former intern at the Pittsburgh Post-Gazette
I think the little pony resume is probably not the right choice for grad school.
- Daniel Scharstein, inventor of the digital sundial

I've worked with.

Find me.