Put AI to Work
April 15-18, 2019
New York, NY
Humayun irshad

Humayun irshad
Lead Scientist, Figure Eight

Website

Humayun Irshad is a lead scientist in machine learning and computer vision at Figure Eight, where he’s developing deep learning frameworks for various applications like object detection, segmentation, and classification for medical, retail, and self-driving car use cases. Previously, he was a postdoc at Harvard Medical School, where he developed machine learning and deep learning frameworks, including region of interest detection and classification, nuclei and gland detection, and segmentation and classification in 2D and 3D medical images.

Sessions

4:05pm–4:45pm Thursday, April 18, 2019
An active learning framework to optimize training of deep models with human in the loop
Interacting with AI
 Location: Rendezvous
Secondary topics:  Computer Vision, Data and Data Networks, Models and Methods
Humayun irshad (Figure Eight)
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Humayun Irshad offers an overview of an active learning framework that uses a crowdsourcing approach to solve parking sign recognition—a real-world problem in transportation and autonomous driving for which a large amount of unlabeled data is available. The solution generates an accurate model, quickly and cost-effectively, despite the unevenness of the data. Read more.