Interested in AI for the Environment??
I’m working on the OlmoEarth team at Ai2 building state-of-the-art AI for environmental and humanitarian groups.
Platform: OlmoEarth Platform
Project blog: OlmoEarth
Technical blog: OlmoEarth Models
Tech report: OlmoEarth
Github: olmoearth_pretrain
Welcome to my website!
I am a research scientist at Ai2 working on machine learning for the environment.
I was 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
Publications
Who Let The Dogs Out? Modeling Dog Behavior From Visual Data
Kiana Ehsani, Hessam Bagherinezhad, Joseph Redmon, Roozbeh Mottaghi, Ali Farhadi
CVPR 2018
IQA: Visual Question Answering in Interactive Environments
Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi
CVPR 2018
YOLO9000: Better, Faster, Stronger
Joseph Redmon, Ali Farhadi
CVPR 2017, Best Paper Honorable Mention
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, and Ali Farhadi
ECCV 2016
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi
CVPR 2016, OpenCV People's Choice Award
Real-Time Grasp Detection Using Convolutional Neural Networks
Joseph Redmon and Anelia Angelova
ICRA 2015
What people are saying
... Either The Least Or Most Employable Person Ever
He knows how to do the internet.
I think the little pony resume is probably not the right choice for grad school.
I’ve worked with
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