Introduction to Face Processing with Computer Vision
|Big Data, Machine Learning, Analytics||beginner/novice|
|Thursday 13:30 - 14:15|
Ever wonder how Facebook’s facial recognition or Snapchat’s filters work?
Faces are a fundamental piece of photography, and building applications around them has never been easier with open-source libraries and pre-trained models.
In this talk, we’ll help you understand some of the computer vision and machine learning techniques behind these applications. Then, we’ll use this knowledge to develop our own prototypes to tackle tasks such as face detection (e.g. digital cameras), recognition (e.g. Facebook Photos), classification (e.g. identifying emotions), manipulation (e.g. Snapchat filters), and more.Machine learning Artificial Intelligence Python open source Computer Vision
|Room Paris 241|
Gabriel is the founder of Scalar Research, a full-service artificial intelligence & data science consulting firm. Scalar helps companies tackle complex business challenges with data-driven solutions leveraging cutting-edge machine learning and advanced analytics.
Previously, Gabriel was a B.S. & M.S. student in computer science at Stanford, where he conducted research on computer vision, deep learning, and quantum computing. He's also spent time at Google, Facebook, startups and investment firms.