We're continuing the momentum. After a great first meetup we're inviting you to the second DataTalks JLM Meetup.
This time we will be focusing on computer vision. We are hosting two super interesting speakers who will be talking about advanced computer vision application in the fields of sports (and specifically soccer) and medical.
Come and get together with the amazing AI community of Jerusalem, this time in the beautiful atmosphere of Beit Hansen, one of the coolest places in the city.
As always, beers and food on us.
18:45 - 19:30 : Mingling, Beers, Pizzas
19:30 - 20:00: Dr. Jackie Assa - Co-Founder and VP Research @ ClearVuze
20:00 - 20:30: Dr. Yehiel Shilo - Algorithm Team Leader @ RSIP Vision
20:30 - 21:00: Mingling (Cont.)
Speaker: Dr. Jackie Assa
Title: "With all the deep learning and computer vision out there, we have nothing left to do.."
Clearvuze is a drone AI startup for generating compelling and useful video footage of events. The company product, teamvuze, focuses on automatic extraction of intelligent data from video footage of field sports games and training sessions, by applying deep-learning / computer vision algorithms.
In this talk we will describe some of the challenges we confronted in analyzing soccer footage, facing multiple problems that were claimed to be ‘already solved’. We will show how existing solutions were always proven to be incomplete, limited or not robust enough to handle real-life scenarios, and how we adapted them to solve our product problems.
Jackie is the co-founder and VP research at ClearVuze. Jackie is a senior software executive with over 25 years of experience. He was the founder of SpiralMiners, a data science company, and FFreview, focusing on tools for fast video reviewing. He has consulted and led ongoing research and data science teams in international companies, including CitiBank, Amdocs, eBay, Agfa, and Intel. Prior to FFreview, Jackie managed R&D and engineering teams at several companies. Jackie holds a PhD from Tel Aviv University (2010) in Computer Graphics and Computer Vision.
Speaker: Dr. Yehiel Shilo
Title: Title: 3D Segmentation of a Human Spine
Abstract: Various medical data, such as CT and MRI scans contains 3D data of different organs in the human body. A major challenge in the medical world is to perform an accurate 3D segmentation of a given image. In the talk, a brief introduction about medical data and handling 3D images will be given. This will be followed by the full segmentation cycle of a CT scan of a human spine. The segmentation process contains both classical image processing and computer vision methods, as well as modern neural networks methods. A discussion about these different methods and their pros and cons will be held.
Claim the event and start manage its content.I am the organizer