Presented By
O’Reilly + Intel AI
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 & Computer Vision at Figure-Eight. He is developing machine learning, more specifically deep learning frameworks for various applications like object detection, segmentation and classification in fields ranging from medical, retail, self-driving car, etc. He has 3 years PostDoc experience at Harvard Medical School where he developed machine learning and deep learning frameworks include region of interest detection and classification, nuclei and gland detection, segmentation and classification in 2D and 3D medical images.

Sessions

4:05pm4:45pm Thursday, April 18, 2019
Interacting with AI
Location: Mercury Rotunda
Secondary topics:  Computer Vision, Data and Data Networks, Models and Methods
Humayun Irshad (Figure Eight)
In this talk, an active learning framework with crowd sourcing approach is introduced to solve a real-world problem in transportation and autonomous driving discipline, parking sign recognition, for which a large amount of unlabeled data is available. It generates an accurate model in a cost-effective and fast way to solve the parking sign recognition problem in spite of the unevenness of the data Read more.